{"components":[{"slug":"grok-xai","name":"Grok (xAI)","summary":"Reasoning and tool-using models plus a CLI harness. Leyline's own intake processor runs on the Grok Heavy subscription.","kind":"runtime","homepage":"https://x.ai","docsUrl":"https://docs.x.ai","publisher":"xAI","license":"proprietary","hasMcp":true,"hasApi":true,"costRange":"seat","costNotes":"API usage and SuperGrok / Heavy subscription are different meters. CLI --single is the local agent compute slice.","composabilityRationale":"CLI --single, JSON schema, MCP/skills. 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If you are not steering long-running agentic ..."},{"url":"https://x.com/OpenAIDevs/status/2090230646497251387","author":"x.com","text":"Teams are using the open-source Codex harness to bring agents into the tools they already use, from internal apps to operations dashboards."}],"sources":[{"kind":"web","label":"OpenAI Codex","url":"https://openai.com/codex","at":"2026-09-12T00:00:00Z"}],"origin":"seed","sector":"dev-harness","notes":[],"score":15,"explain":{"score":15,"formula":"100 × sum(weight × value) over observed factors only. 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The latest dated evidence is 2026-09-12. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"OpenAI Codex","url":"https://openai.com/codex","at":"2026-09-12T00:00:00Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"createdAt":"2026-09-11T16:33:50.760Z","updatedAt":"2026-09-13T08:56:02.854Z","recordId":"cmp_openai-codex","claims":{"name":"Codex","summary":"OpenAI coding agent / CLI. 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A day-one Leyline install target: scour skill via MCP or rule file.","cost":"seat"}],"interfaces":[{"kind":"mcp"}],"composabilityRationale":"MCP and rules files make catalogue skills installable. Closed editor means the slice is 'harness', not 'library'."},"interfaces":[{"kind":"mcp"}],"relations":[{"from":"cursor","to":"openai-codex","kind":"alternative-to","note":"Shared functions code, connect, reason, tool-call. Same kind and overlapping capability."},{"from":"cursor","to":"claude-code","kind":"alternative-to","note":"Shared functions code, connect, reason, tool-call. Same kind and overlapping capability."},{"from":"cursor","to":"grok-xai","kind":"alternative-to","note":"Shared functions code, connect, reason, tool-call. Same kind and overlapping capability."},{"from":"cursor","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions code, connect, retrieve, tool-call. 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Can fill the same function slot."},{"from":"executor","to":"cursor","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"executor","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"executor","to":"pen-dev","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-08-27T00:00:00.000Z"},{"key":"has_docs","value":1,"source":"component-record","method":"declared-docs","observedAt":"2026-08-27T00:00:00.000Z"}],"claimVerification":[],"explain":{"score":12,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"value":0.3,"contribution":0.054,"why":"A licence is declared. 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It sells persistent Linux VMs for coding agents and agent platforms: SSH, Docker inside the VM, a dedicated IPv4 per machine, snapshot/stop/resume, fork-from-snapshot, optional 60fps desktop stream, and a CLI/API/box prompt path for Claude Code or Codex.","kind":"resource","publisher":"","homepage":"https://box.ascii.dev/","docsUrl":"https://docs.ascii.dev/box/quickstart","costRange":"unknown","functions":["code","stream"],"slices":[{"functionId":"code","label":"Code","note":"Box is a managed sandbox product from Ascii (legal entity Dedale AI, Corp.). It sells persistent Linux VMs for coding agents and agent platforms: SSH, Docker inside the VM, a dedicated IPv4 per machine, snapshot/stop/resume, fork-from-snapshot, optional 60fps desktop stream, and a CLI/API/box prompt path for Claude Code or Codex.","cost":"unknown"},{"functionId":"stream","label":"Stream","note":"Box is a managed sandbox product from Ascii (legal entity Dedale AI, Corp.). It sells persistent Linux VMs for coding agents and agent platforms: SSH, Docker inside the VM, a dedicated IPv4 per machine, snapshot/stop/resume, fork-from-snapshot, optional 60fps desktop stream, and a CLI/API/box prompt path for Claude Code or Codex.","cost":"unknown"}],"interfaces":[{"kind":"cli"},{"kind":"http"}],"composabilityRationale":""},"relations":[{"from":"box","to":"ditto","kind":"alternative-to","note":"Shared functions code. Same kind and overlapping capability."},{"from":"box","to":"opendisk","kind":"alternative-to","note":"Shared functions stream. Same kind and overlapping capability."},{"from":"box","to":"emulators-dev","kind":"alternative-to","note":"Shared functions code. Same kind and overlapping capability."},{"from":"box","to":"firecrawl-pdf-inspector","kind":"alternative-to","note":"Shared functions code. Same kind and overlapping capability."}],"signals":[{"key":"has_docs","value":1,"source":"component-record","method":"declared-docs","observedAt":"2026-08-19T00:00:00.000Z"}],"claimVerification":[],"explain":{"score":10,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"value":0.15,"contribution":0.027,"why":"Documentation is available.","sources":[],"evidence":"observed"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-19-ascii-dev-box.md\nBox is a managed sandbox product from Ascii (legal entity Dedale AI, Corp.). 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Same kind and overlapping capability."},{"from":"ditto","to":"box","kind":"alternative-to","note":"Shared functions code. Same kind and overlapping capability."},{"from":"ditto","to":"sazabi","kind":"alternative-to","note":"Shared functions code. Same kind and overlapping capability."}],"signals":[],"claimVerification":[],"explain":{"score":10,"formula":"100 × sum(weight × value) over observed factors only. 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README framing: collaboration over “autonomy theater” — you guide, it executes. Automates repetitive web tasks, extraction, navigation, forms, research → docs/spreadsheets; BYO API key or subscription login (Anthropic, OpenAI/ChatGPT, GitHub Copilot, Gemini, etc.); claims local-only / no tracking.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-09-22-0xsero-sitegeist.md\nSitegeist is an AI assistant that lives in a Chromium side panel, plus a bridge so coding agents can use the same browser. README framing: collaboration over “autonomy theater” — you guide, it executes. 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README framing: collaboration over “autonomy theater” — you guide, it executes. Automates repetitive web tasks, extraction, navigation, forms, research → docs/spreadsheets; BYO API key or subscription login (Anthropic, OpenAI/ChatGPT, GitHub Copilot, Gemini, etc.); claims local-only / no tracking.","kind":"agent","publisher":"","homepage":"https://sitegeist.ai","repoUrl":"https://github.com/0xSero/sitegeist","license":"AGPL-3.0","costRange":"unknown","functions":["code","browser","extract"],"slices":[{"functionId":"code","label":"Code","note":"Sitegeist is an AI assistant that lives in a Chromium side panel, plus a bridge so coding agents can use the same browser. README framing: collaboration over “autonomy theater” — you guide, it executes. 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Automates repetitive web tasks, extraction, navigation, forms, research → docs/spreadsheets; BYO API key or subscription login (Anthropic, OpenAI/ChatGPT, GitHub Copilot, Gemini, etc.); claims local-only / no tracking.","cost":"unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"cli"}],"composabilityRationale":""},"relations":[{"from":"sitegeist","to":"playwright","kind":"fills-same-slot-as","note":"Shared functions browser, extract. Can fill the same function slot."},{"from":"sitegeist","to":"kogiqa-mcp-web-browser","kind":"fills-same-slot-as","note":"Shared functions browser, code. Can fill the same function slot."},{"from":"sitegeist","to":"tinyfish","kind":"fills-same-slot-as","note":"Shared functions browser, extract. Can fill the same function slot."},{"from":"sitegeist","to":"camofox-browser-server","kind":"fills-same-slot-as","note":"Shared functions browser, extract. Can fill the same function slot."},{"from":"sitegeist","to":"invisible-playwright-mcp","kind":"fills-same-slot-as","note":"Shared functions browser, code. Can fill the same function slot."},{"from":"sitegeist","to":"tinyfish-search-api","kind":"fills-same-slot-as","note":"Shared functions browser, code. Can fill the same function slot."},{"from":"sitegeist","to":"vuda-visual-ui-debug-agent","kind":"fills-same-slot-as","note":"Shared functions browser, extract. Can fill the same function slot."},{"from":"sitegeist","to":"local-faiss-mcp-server","kind":"fills-same-slot-as","note":"Shared functions code, extract. Can fill the same function slot."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-09-22T00:00:00.000Z"}],"claimVerification":[],"explain":{"score":10,"formula":"100 × sum(weight × value) over observed factors only. 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Grok pass was unavailable or incomplete. No usage metrics were observed.","signals":[],"functionProbabilities":[{"functionId":"memory","value":0.92,"source":"https://github.com/gurusup/awesome-company-brain/blob/main/README.md","method":"lexical","observedAt":"2026-10-15T16:29:31.900Z"},{"functionId":"code","value":0.8,"source":"https://github.com/gurusup/awesome-company-brain/blob/main/README.md","method":"lexical","observedAt":"2026-10-15T16:29:31.900Z"},{"functionId":"evaluate","value":0.8,"source":"https://github.com/gurusup/awesome-company-brain/blob/main/README.md","method":"lexical","observedAt":"2026-10-15T16:29:31.900Z"},{"functionId":"index","value":0.8,"source":"https://github.com/gurusup/awesome-company-brain/blob/main/README.md","method":"lexical","observedAt":"2026-10-15T16:29:31.900Z"},{"functionId":"policy","value":0.8,"source":"https://github.com/gurusup/awesome-company-brain/blob/main/README.md","method":"lexical","observedAt":"2026-10-15T16:29:31.900Z"},{"functionId":"search","value":0.8,"source":"https://github.com/gurusup/awesome-company-brain/blob/main/README.md","method":"lexical","observedAt":"2026-10-15T16:29:31.900Z"},{"functionId":"store","value":0.8,"source":"https://github.com/gurusup/awesome-company-brain/blob/main/README.md","method":"lexical","observedAt":"2026-10-15T16:29:31.900Z"},{"functionId":"compose","value":0.72,"source":"https://github.com/gurusup/awesome-company-brain/blob/main/README.md","method":"lexical","observedAt":"2026-10-15T16:29:31.900Z"},{"functionId":"connect","value":0.72,"source":"https://github.com/gurusup/awesome-company-brain/blob/main/README.md","method":"lexical","observedAt":"2026-10-15T16:29:31.900Z"},{"functionId":"retrieve","value":0.72,"source":"https://github.com/gurusup/awesome-company-brain/blob/main/README.md","method":"lexical","observedAt":"2026-10-15T16:29:31.900Z"},{"functionId":"tool-call","value":0.72,"source":"https://github.com/gurusup/awesome-company-brain/blob/main/README.md","method":"lexical","observedAt":"2026-10-15T16:29:31.900Z"}],"claimVerification":[{"key":"mcp","status":"unverified","asserted":"true","evidenceSource":"https://github.com/gurusup/awesome-company-brain/blob/main/README.md","method":"fallback"},{"key":"api","status":"unverified","asserted":"true","evidenceSource":"https://github.com/gurusup/awesome-company-brain/blob/main/README.md","method":"fallback"},{"key":"cost","status":"unverified","asserted":"unknown","evidenceSource":"https://github.com/gurusup/awesome-company-brain/blob/main/README.md","method":"fallback"},{"key":"license","status":"unverified","asserted":"","evidenceSource":"https://github.com/gurusup/awesome-company-brain/blob/main/README.md","method":"fallback"}],"tweets":[],"notes":[],"origin":"intake","createdAt":"2026-10-15T16:29:32.774Z","updatedAt":"2026-10-15T16:29:32.774Z","sources":[{"kind":"web","label":"executor","url":"https://github.com/gurusup/awesome-company-brain/blob/main/README.md","excerpt":"##\n\n# README.md\n\n## Latest commit\n\n## History\n\nHistory\n\n139 lines (106 loc) · 17.5 KB\n\n# README.md\n\n## File metadata and controls\n\n139 lines (106 loc) · 17.5 KB\n\nRaw\n\n# Awesome Company Brain\n\n> Give every AI agent your company context.\n\nA c","at":"2026-10-15T16:29:32.774Z"}],"recordId":"cmp_awesome","claims":{"name":"awesome","summary":"139 lines (106 loc) · 17.5 KB","kind":"eval","publisher":"github.com","homepage":"https://github.com/gurusup/awesome-company-brain/blob/main/README.md","costRange":"unknown","costNotes":"Unknown: pricing was not stated in the intake evidence.","functions":["memory","code","evaluate","index","policy","search","store","compose","connect"],"slices":[{"functionId":"memory","label":"memory","note":"Inferred from executor","cost":"Unknown"},{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"evaluate","label":"evaluate","note":"Inferred from executor","cost":"Unknown"},{"functionId":"index","label":"index","note":"Inferred from executor","cost":"Unknown"},{"functionId":"policy","label":"policy","note":"Inferred from executor","cost":"Unknown"},{"functionId":"search","label":"search","note":"Inferred from executor","cost":"Unknown"},{"functionId":"store","label":"store","note":"Inferred from executor","cost":"Unknown"},{"functionId":"compose","label":"compose","note":"Inferred from executor","cost":"Unknown"},{"functionId":"connect","label":"Connect","note":"139 lines (106 loc) · 17.5 KB","cost":"unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"Heuristic from executor evidence. Grok pass was unavailable or incomplete. No usage metrics were observed."},"relations":[{"from":"awesome","to":"memini","kind":"fills-same-slot-as","note":"Shared functions code, compose, connect, memory, policy, search, store. Can fill the same function slot."},{"from":"awesome","to":"local-faiss-mcp-server","kind":"fills-same-slot-as","note":"Shared functions code, connect, index, memory, search, store. Can fill the same function slot."},{"from":"awesome","to":"casdoor","kind":"fills-same-slot-as","note":"Shared functions code, compose, connect, policy, search. Can fill the same function slot."},{"from":"awesome","to":"self","kind":"fills-same-slot-as","note":"Shared functions code, compose, connect, index, search. Can fill the same function slot."},{"from":"awesome","to":"lore","kind":"fills-same-slot-as","note":"Shared functions connect, evaluate, memory, search, store. Can fill the same function slot."},{"from":"awesome","to":"agentmemory","kind":"fills-same-slot-as","note":"Shared functions code, connect, memory. Can fill the same function slot."},{"from":"awesome","to":"invisible-playwright-mcp","kind":"fills-same-slot-as","note":"Shared functions code, connect, policy, search. Can fill the same function slot."},{"from":"awesome","to":"tinyfish-search-api","kind":"fills-same-slot-as","note":"Shared functions code, compose, search, store. Can fill the same function slot."}],"explain":{"score":9,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.6666666666666666,"contribution":0.06666666666666667,"why":"An MCP surface is declared. An API is declared. Cost is unknown. 2 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is 2026-10-15. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://github.com/gurusup/awesome-company-brain/blob/main/README.md","excerpt":"##\n\n# README.md\n\n## Latest commit\n\n## History\n\nHistory\n\n139 lines (106 loc) · 17.5 KB\n\n# README.md\n\n## File metadata and controls\n\n139 lines (106 loc) · 17.5 KB\n\nRaw\n\n# Awesome Company Brain\n\n> Give every AI agent your company context.\n\nA c","at":"2026-10-15T16:29:32.774Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":9},{"slug":"casdoor","name":"Casdoor","summary":"An open-source, self-hosted identity and access management platform and authentication server with a web console, supporting SSO, multiple identity protocols, policy-based authorization, APIs, SDKs, and MCP.","publisher":"Casdoor","homepage":"https://github.com/casdoor/casdoor","kind":"app","hasApi":true,"hasMcp":true,"costRange":"unknown","costNotes":"Unknown: The page describes open-source self-hosting and a hosted Casdoor Cloud option with flat monthly pricing and $20 in trial credit, but it does not state actual prices.","functions":["auth","code","compose","embed","identity","policy","search","connect"],"slices":[{"functionId":"auth","label":"Application authentication and SSO","note":"Acts as an OAuth 2.0/OIDC authorization server and supports SAML 2.0, CAS, WebAuthn, TOTP, MFA, password, and email/SMS-code sign-in.","cost":"Unknown"},{"functionId":"identity","label":"Identity provider and user directory","note":"Stores users, issues tokens, manages organizations and providers, and exposes the same directory through several identity protocols.","cost":"Unknown"},{"functionId":"policy","label":"Policy-based authorization","note":"Supports Casbin-based ACL, RBAC, ABAC, and custom authorization models.","cost":"Unknown"},{"functionId":"connect","label":"Application and identity-provider integration","note":"Connects applications and providers using OAuth, OIDC, SAML, CAS, LDAP, SCIM, SDKs, a Public API, Terraform, and MCP.","cost":"Unknown"},{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"compose","label":"compose","note":"Inferred from executor","cost":"Unknown"},{"functionId":"embed","label":"embed","note":"Inferred from executor","cost":"Unknown"},{"functionId":"search","label":"search","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"Casdoor can compose with applications and identity providers through OAuth 2.0, OIDC, SAML 2.0, CAS, LDAP, SCIM 2.0, SDKs, a Public API, Terraform, and MCP. The retrieved page does not specify the MCP capability surface or detailed API limits and pricing.","signals":[],"functionProbabilities":[{"functionId":"auth","value":0.8,"source":"https://github.com/casdoor/casdoor","method":"lexical","observedAt":"2026-11-04T06:18:14.693Z"},{"functionId":"code","value":0.8,"source":"https://github.com/casdoor/casdoor","method":"lexical","observedAt":"2026-11-04T06:18:14.693Z"},{"functionId":"compose","value":0.8,"source":"https://github.com/casdoor/casdoor","method":"lexical","observedAt":"2026-11-04T06:18:14.693Z"},{"functionId":"embed","value":0.8,"source":"https://github.com/casdoor/casdoor","method":"lexical","observedAt":"2026-11-04T06:18:14.693Z"},{"functionId":"identity","value":0.8,"source":"https://github.com/casdoor/casdoor","method":"lexical","observedAt":"2026-11-04T06:18:14.693Z"},{"functionId":"policy","value":0.8,"source":"https://github.com/casdoor/casdoor","method":"lexical","observedAt":"2026-11-04T06:18:14.693Z"},{"functionId":"search","value":0.8,"source":"https://github.com/casdoor/casdoor","method":"lexical","observedAt":"2026-11-04T06:18:14.693Z"},{"functionId":"connect","value":0.72,"source":"https://github.com/casdoor/casdoor","method":"lexical","observedAt":"2026-11-04T06:18:14.693Z"},{"functionId":"deploy","value":0.72,"source":"https://github.com/casdoor/casdoor","method":"lexical","observedAt":"2026-11-04T06:18:14.693Z"},{"functionId":"evaluate","value":0.72,"source":"https://github.com/casdoor/casdoor","method":"lexical","observedAt":"2026-11-04T06:18:14.693Z"}],"claimVerification":[{"key":"mcp","status":"unverified","asserted":"true","evidenceSource":"https://github.com/casdoor/casdoor","method":"fallback"},{"key":"api","status":"unverified","asserted":"true","evidenceSource":"https://github.com/casdoor/casdoor","method":"fallback"},{"key":"cost","status":"unverified","asserted":"unknown","evidenceSource":"https://github.com/casdoor/casdoor","method":"fallback"},{"key":"license","status":"unverified","asserted":"","evidenceSource":"https://github.com/casdoor/casdoor","method":"fallback"}],"tweets":[],"notes":[],"origin":"intake","createdAt":"2026-11-04T06:18:17.529Z","updatedAt":"2026-11-04T06:18:17.529Z","sources":[{"kind":"web","label":"executor","url":"https://github.com/casdoor/casdoor","excerpt":"BranchesTags\n\n## Repository files navigation\n\n### An open-source, self-hosted identity and access management platform\n\nCasdoor is a single sign-on (SSO) and authentication server with a web console.  \nIt speaks **OAuth 2.0**, **OIDC**, **SA","at":"2026-11-04T06:18:17.529Z"}],"recordId":"cmp_casdoor","claims":{"name":"Casdoor","summary":"An open-source, self-hosted identity and access management platform and authentication server with a web console, supporting SSO, multiple identity protocols, policy-based authorization, APIs, SDKs, and MCP.","kind":"app","publisher":"Casdoor","homepage":"https://github.com/casdoor/casdoor","costRange":"unknown","costNotes":"Unknown: The page describes open-source self-hosting and a hosted Casdoor Cloud option with flat monthly pricing and $20 in trial credit, but it does not state actual prices.","functions":["auth","code","compose","embed","identity","policy","search","connect"],"slices":[{"functionId":"auth","label":"Application authentication and SSO","note":"Acts as an OAuth 2.0/OIDC authorization server and supports SAML 2.0, CAS, WebAuthn, TOTP, MFA, password, and email/SMS-code sign-in.","cost":"Unknown"},{"functionId":"identity","label":"Identity provider and user directory","note":"Stores users, issues tokens, manages organizations and providers, and exposes the same directory through several identity protocols.","cost":"Unknown"},{"functionId":"policy","label":"Policy-based authorization","note":"Supports Casbin-based ACL, RBAC, ABAC, and custom authorization models.","cost":"Unknown"},{"functionId":"connect","label":"Application and identity-provider integration","note":"Connects applications and providers using OAuth, OIDC, SAML, CAS, LDAP, SCIM, SDKs, a Public API, Terraform, and MCP.","cost":"Unknown"},{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"compose","label":"compose","note":"Inferred from executor","cost":"Unknown"},{"functionId":"embed","label":"embed","note":"Inferred from executor","cost":"Unknown"},{"functionId":"search","label":"search","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"Casdoor can compose with applications and identity providers through OAuth 2.0, OIDC, SAML 2.0, CAS, LDAP, SCIM 2.0, SDKs, a Public API, Terraform, and MCP. The retrieved page does not specify the MCP capability surface or detailed API limits and pricing."},"relations":[{"from":"casdoor","to":"invisible-playwright-mcp","kind":"fills-same-slot-as","note":"Shared functions auth, code, connect, identity, policy, search. Can fill the same function slot."},{"from":"casdoor","to":"memini","kind":"fills-same-slot-as","note":"Shared functions code, compose, connect, embed, policy, search. Can fill the same function slot."},{"from":"casdoor","to":"self","kind":"fills-same-slot-as","note":"Shared functions code, compose, connect, embed, search. Can fill the same function slot."},{"from":"casdoor","to":"awesome","kind":"fills-same-slot-as","note":"Shared functions code, compose, connect, policy, search. Can fill the same function slot."},{"from":"casdoor","to":"mcp-ai-gateway","kind":"fills-same-slot-as","note":"Shared functions auth, connect, identity, policy. Can fill the same function slot."},{"from":"casdoor","to":"camofox-browser-server","kind":"fills-same-slot-as","note":"Shared functions auth, compose, policy, search. Can fill the same function slot."},{"from":"casdoor","to":"tinyfish-search-api","kind":"fills-same-slot-as","note":"Shared functions auth, code, compose, search. Can fill the same function slot."},{"from":"casdoor","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed. Can fill the same function slot."}],"explain":{"score":9,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.6666666666666666,"contribution":0.06666666666666667,"why":"An MCP surface is declared. An API is declared. Cost is unknown. 2 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is 2026-11-04. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://github.com/casdoor/casdoor","excerpt":"BranchesTags\n\n## Repository files navigation\n\n### An open-source, self-hosted identity and access management platform\n\nCasdoor is a single sign-on (SSO) and authentication server with a web console.  \nIt speaks **OAuth 2.0**, **OIDC**, **SA","at":"2026-11-04T06:18:17.529Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":9},{"slug":"cognee","name":"cognee","summary":"Open-source memory system for agents and teams. It connects company sources such as Slack, GitHub, and Linear so agents can recall shared context through one memory API, an SDK, or an MCP server, with an optional Cognee Cloud for managed scale.","publisher":"cognee","homepage":"https://www.cognee.ai","kind":"runtime","hasApi":true,"hasMcp":true,"costRange":"unknown","costNotes":"Pricing is not stated. The page says to start with the open-source package (pip install cognee) and move to Cognee Cloud for managed scale. No plans, prices, or free-tier limits are given.","functions":["memory","code","connect","embed","retrieve"],"slices":[{"functionId":"memory","label":"Agent memory","note":"Memory for agents, teams, and people so agents can recall what a company knows and what they just did.","cost":"Unknown"},{"functionId":"connect","label":"Source and agent connections","note":"Connect Slack, GitHub, and Linear, with first-party integrations for Claude Code, Cursor, LangGraph, OpenClaw, and more.","cost":"Unknown"},{"functionId":"retrieve","label":"Memory read","note":"Agents recall stored context through the memory API or MCP read access.","cost":"Unknown"},{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"embed","label":"embed","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"The page states one memory API and an SDK, plus an MCP server so compatible agents can read and write Cognee memory without custom glue. It names first-party integrations for Claude Code, Cursor, LangGraph, and OpenClaw, and also lists Codex, Skill, and Hermes. Slack, GitHub, and Linear are named as sources to connect. Auth, rate limits, and API schemas are not specified on this page.","signals":[],"functionProbabilities":[{"functionId":"memory","value":0.92,"source":"https://www.cognee.ai","method":"lexical","observedAt":"2026-10-15T16:29:14.700Z"},{"functionId":"code","value":0.8,"source":"https://www.cognee.ai","method":"lexical","observedAt":"2026-10-15T16:29:14.700Z"},{"functionId":"connect","value":0.72,"source":"https://www.cognee.ai","method":"lexical","observedAt":"2026-10-15T16:29:14.700Z"},{"functionId":"embed","value":0.72,"source":"https://www.cognee.ai","method":"lexical","observedAt":"2026-10-15T16:29:14.700Z"},{"functionId":"retrieve","value":0.72,"source":"https://www.cognee.ai","method":"lexical","observedAt":"2026-10-15T16:29:14.700Z"}],"claimVerification":[{"key":"mcp","status":"unverified","asserted":"true","evidenceSource":"https://www.cognee.ai","method":"fallback"},{"key":"api","status":"unverified","asserted":"true","evidenceSource":"https://www.cognee.ai","method":"fallback"},{"key":"cost","status":"unverified","asserted":"unknown","evidenceSource":"https://www.cognee.ai","method":"fallback"},{"key":"license","status":"unverified","asserted":"","evidenceSource":"https://www.cognee.ai","method":"fallback"}],"tweets":[],"notes":[],"origin":"intake","createdAt":"2026-10-15T16:29:15.555Z","updatedAt":"2026-10-15T16:29:15.555Z","sources":[{"kind":"web","label":"executor","url":"https://www.cognee.ai","excerpt":"# Memory for Agents, Teams, and People\n\nConnect Slack, GitHub, Linear to Cognee and help agents recall what your company knows.\n\nStart building\n\nWorks withClaude CodeCodexSkillMCPOpenClawHermes\n\nWorks with\n\nClaude Code\n\nCodex\n\nSkill\n\nMCP\n\nO","at":"2026-10-15T16:29:15.555Z"}],"recordId":"cmp_cognee","claims":{"name":"cognee","summary":"Open-source memory system for agents and teams. It connects company sources such as Slack, GitHub, and Linear so agents can recall shared context through one memory API, an SDK, or an MCP server, with an optional Cognee Cloud for managed scale.","kind":"runtime","publisher":"cognee","homepage":"https://www.cognee.ai","costRange":"unknown","costNotes":"Pricing is not stated. The page says to start with the open-source package (pip install cognee) and move to Cognee Cloud for managed scale. No plans, prices, or free-tier limits are given.","functions":["memory","code","connect","embed","retrieve"],"slices":[{"functionId":"memory","label":"Agent memory","note":"Memory for agents, teams, and people so agents can recall what a company knows and what they just did.","cost":"Unknown"},{"functionId":"connect","label":"Source and agent connections","note":"Connect Slack, GitHub, and Linear, with first-party integrations for Claude Code, Cursor, LangGraph, OpenClaw, and more.","cost":"Unknown"},{"functionId":"retrieve","label":"Memory read","note":"Agents recall stored context through the memory API or MCP read access.","cost":"Unknown"},{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"embed","label":"embed","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"The page states one memory API and an SDK, plus an MCP server so compatible agents can read and write Cognee memory without custom glue. It names first-party integrations for Claude Code, Cursor, LangGraph, and OpenClaw, and also lists Codex, Skill, and Hermes. Slack, GitHub, and Linear are named as sources to connect. Auth, rate limits, and API schemas are not specified on this page."},"relations":[{"from":"cognee","to":"agentmemory","kind":"fills-same-slot-as","note":"Shared functions code, connect, memory. Can fill the same function slot."},{"from":"cognee","to":"memini","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed, memory, retrieve. Can fill the same function slot."},{"from":"cognee","to":"local-faiss-mcp-server","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed, memory, retrieve. Can fill the same function slot."},{"from":"cognee","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions code, connect, memory, retrieve. Can fill the same function slot."},{"from":"cognee","to":"pen-dev","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed. Can fill the same function slot."},{"from":"cognee","to":"cursor","kind":"fills-same-slot-as","note":"Shared functions code, connect, retrieve. Can fill the same function slot."},{"from":"cognee","to":"pageindex","kind":"fills-same-slot-as","note":"Shared functions embed, memory, retrieve. Can fill the same function slot."},{"from":"cognee","to":"zillow-data-apis","kind":"fills-same-slot-as","note":"Shared functions connect, retrieve. Can fill the same function slot."}],"explain":{"score":9,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.6666666666666666,"contribution":0.06666666666666667,"why":"An MCP surface is declared. An API is declared. Cost is unknown. 2 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is 2026-10-15. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://www.cognee.ai","excerpt":"# Memory for Agents, Teams, and People\n\nConnect Slack, GitHub, Linear to Cognee and help agents recall what your company knows.\n\nStart building\n\nWorks withClaude CodeCodexSkillMCPOpenClawHermes\n\nWorks with\n\nClaude Code\n\nCodex\n\nSkill\n\nMCP\n\nO","at":"2026-10-15T16:29:15.555Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":9,"tags":["agents"]},{"slug":"memini","name":"memini","summary":"Self-hosted persistent memory service for MCP-capable agents. It stores and recalls memories in a tiered store using hybrid vector and keyword retrieval, ships as a single Go binary with SQLite or Postgres, and exposes REST, MCP, and an embedded admin UI.","publisher":"eleboucher","homepage":"https://github.com/eleboucher/memini","kind":"mcp","hasApi":true,"hasMcp":true,"costRange":"unknown","costNotes":"No price, plan, seat, or usage fee is stated. The repository is AGPL-3.0 and described as self-hosted software. An external OpenAI-compatible embeddings endpoint is required; an LLM is optional. The cost of those external services is not stated.","functions":["connect","code","compose","deploy","memory","policy","rank","search","store","embed","retrieve"],"slices":[{"functionId":"memory","label":"Tiered agent memory","note":"Shared remember and recall across working, episodic, semantic, and procedural tiers, with decay, TTLs, namespace isolation, and optional consolidation into durable facts.","cost":"Unknown"},{"functionId":"search","label":"Hybrid vector and keyword search","note":"Hybrid vector and keyword retrieval fused with Reciprocal Rank Fusion.","cost":"Unknown"},{"functionId":"rank","label":"Composite re-ranking","note":"Hybrid results are re-ranked by relevance, access recency, and importance rather than similarity alone.","cost":"Unknown"},{"functionId":"policy","label":"Client connect policy","note":"The MCP server sends a standing policy to every client on connect.","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"compose","label":"compose","note":"Inferred from executor","cost":"Unknown"},{"functionId":"deploy","label":"deploy","note":"Inferred from executor","cost":"Unknown"},{"functionId":"store","label":"Store","note":"Self-hosted persistent memory service for MCP-capable agents. It stores and recalls memories in a tiered store using hybrid vector and keyword retrieval, ships as a single Go binary with SQLite or Postgres, and exposes REST, MCP, and an embedded admin UI.","cost":"unknown"},{"functionId":"embed","label":"Embed","note":"Self-hosted persistent memory service for MCP-capable agents. It stores and recalls memories in a tiered store using hybrid vector and keyword retrieval, ships as a single Go binary with SQLite or Postgres, and exposes REST, MCP, and an embedded admin UI.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Self-hosted persistent memory service for MCP-capable agents. It stores and recalls memories in a tiered store using hybrid vector and keyword retrieval, ships as a single Go binary with SQLite or Postgres, and exposes REST, MCP, and an embedded admin UI.","cost":"unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"The page states REST plus MCP over stdio and Streamable HTTP, sharing one service layer, with an embedded web UI. Most listed agent integrations read MEMINI_BASE_URL and MEMINI_API_KEY; some clients use their own config or a fixed local MCP URL. Authentication can be enabled with an API key. Embeddings are not built in and must be supplied by an external endpoint whose dimensions match the store. An LLM is opt-in for background deduplication, contradiction handling, and distillation; without one, marker heuristics run the lifecycle. Pricing, quotas, and hosted multi-tenant terms are not stated.","signals":[],"functionProbabilities":[{"functionId":"connect","value":0.92,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"code","value":0.8,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"compose","value":0.8,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"deploy","value":0.8,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"memory","value":0.8,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"policy","value":0.8,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"rank","value":0.8,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"search","value":0.8,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"store","value":0.8,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"auth","value":0.72,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"embed","value":0.72,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"retrieve","value":0.72,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"tool-call","value":0.72,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"}],"claimVerification":[{"key":"mcp","status":"unverified","asserted":"true","evidenceSource":"https://github.com/eleboucher/memini","method":"fallback"},{"key":"api","status":"unverified","asserted":"true","evidenceSource":"https://github.com/eleboucher/memini","method":"fallback"},{"key":"cost","status":"unverified","asserted":"unknown","evidenceSource":"https://github.com/eleboucher/memini","method":"fallback"},{"key":"license","status":"unverified","asserted":"","evidenceSource":"https://github.com/eleboucher/memini","method":"fallback"}],"tweets":[],"notes":[],"origin":"intake","createdAt":"2026-10-16T06:17:47.632Z","updatedAt":"2026-10-16T06:17:47.632Z","sources":[{"kind":"web","label":"executor","url":"https://github.com/eleboucher/memini","excerpt":"BranchesTags\n\n## Repository files navigation\n\n# memini\n\n> A shared, persistent memory service for AI agents.\n\n`memini` gives any MCP-capable agent (Claude Code, Cursor, Codex, opencode, Hermes, OpenClaw, Open WebUI) one place to `remember` ","at":"2026-10-16T06:17:47.632Z"}],"recordId":"cmp_memini","claims":{"name":"memini","summary":"Self-hosted persistent memory service for MCP-capable agents. It stores and recalls memories in a tiered store using hybrid vector and keyword retrieval, ships as a single Go binary with SQLite or Postgres, and exposes REST, MCP, and an embedded admin UI.","kind":"mcp","publisher":"eleboucher","homepage":"https://github.com/eleboucher/memini","costRange":"unknown","costNotes":"No price, plan, seat, or usage fee is stated. The repository is AGPL-3.0 and described as self-hosted software. An external OpenAI-compatible embeddings endpoint is required; an LLM is optional. The cost of those external services is not stated.","functions":["connect","code","compose","deploy","memory","policy","rank","search","store","embed","retrieve"],"slices":[{"functionId":"memory","label":"Tiered agent memory","note":"Shared remember and recall across working, episodic, semantic, and procedural tiers, with decay, TTLs, namespace isolation, and optional consolidation into durable facts.","cost":"Unknown"},{"functionId":"search","label":"Hybrid vector and keyword search","note":"Hybrid vector and keyword retrieval fused with Reciprocal Rank Fusion.","cost":"Unknown"},{"functionId":"rank","label":"Composite re-ranking","note":"Hybrid results are re-ranked by relevance, access recency, and importance rather than similarity alone.","cost":"Unknown"},{"functionId":"policy","label":"Client connect policy","note":"The MCP server sends a standing policy to every client on connect.","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"compose","label":"compose","note":"Inferred from executor","cost":"Unknown"},{"functionId":"deploy","label":"deploy","note":"Inferred from executor","cost":"Unknown"},{"functionId":"store","label":"Store","note":"Self-hosted persistent memory service for MCP-capable agents. It stores and recalls memories in a tiered store using hybrid vector and keyword retrieval, ships as a single Go binary with SQLite or Postgres, and exposes REST, MCP, and an embedded admin UI.","cost":"unknown"},{"functionId":"embed","label":"Embed","note":"Self-hosted persistent memory service for MCP-capable agents. It stores and recalls memories in a tiered store using hybrid vector and keyword retrieval, ships as a single Go binary with SQLite or Postgres, and exposes REST, MCP, and an embedded admin UI.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Self-hosted persistent memory service for MCP-capable agents. It stores and recalls memories in a tiered store using hybrid vector and keyword retrieval, ships as a single Go binary with SQLite or Postgres, and exposes REST, MCP, and an embedded admin UI.","cost":"unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"The page states REST plus MCP over stdio and Streamable HTTP, sharing one service layer, with an embedded web UI. Most listed agent integrations read MEMINI_BASE_URL and MEMINI_API_KEY; some clients use their own config or a fixed local MCP URL. Authentication can be enabled with an API key. Embeddings are not built in and must be supplied by an external endpoint whose dimensions match the store. An LLM is opt-in for background deduplication, contradiction handling, and distillation; without one, marker heuristics run the lifecycle. Pricing, quotas, and hosted multi-tenant terms are not stated."},"relations":[{"from":"memini","to":"self","kind":"alternative-to","note":"Shared functions code, compose, connect, deploy, embed, rank, search. Same kind and overlapping capability."},{"from":"memini","to":"local-faiss-mcp-server","kind":"alternative-to","note":"Shared functions code, connect, embed, memory, rank, retrieve, search, store. Same kind and overlapping capability."},{"from":"memini","to":"awesome","kind":"fills-same-slot-as","note":"Shared functions code, compose, connect, memory, policy, search, store. Can fill the same function slot."},{"from":"memini","to":"casdoor","kind":"fills-same-slot-as","note":"Shared functions code, compose, connect, embed, policy, search. Can fill the same function slot."},{"from":"memini","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed, memory, retrieve. Can fill the same function slot."},{"from":"memini","to":"turbopuffer","kind":"fills-same-slot-as","note":"Shared functions embed, memory, search, store. Can fill the same function slot."},{"from":"memini","to":"lore","kind":"fills-same-slot-as","note":"Shared functions connect, memory, retrieve, search, store. Can fill the same function slot."},{"from":"memini","to":"llamaindex","kind":"fills-same-slot-as","note":"Shared functions compose, embed, memory, retrieve. Can fill the same function slot."}],"explain":{"score":9,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.6666666666666666,"contribution":0.06666666666666667,"why":"An MCP surface is declared. An API is declared. Cost is unknown. 2 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is 2026-10-16. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://github.com/eleboucher/memini","excerpt":"BranchesTags\n\n## Repository files navigation\n\n# memini\n\n> A shared, persistent memory service for AI agents.\n\n`memini` gives any MCP-capable agent (Claude Code, Cursor, Codex, opencode, Hermes, OpenClaw, Open WebUI) one place to `remember` ","at":"2026-10-16T06:17:47.632Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":9,"tags":["agents"]},{"slug":"paseo","name":"Paseo","summary":"A mature AGPL-3.0 open-source agent-control surface: a local Paseo daemon runs and manages coding-agent CLIs on a user-controlled machine, while desktop, mobile, web, and CLI clients monitor/control those agents. 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Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-09-getpaseo-paseo.md\nA mature AGPL-3.0 open-source agent-control surface: a local Paseo daemon runs and manages coding-agent CLIs on a user-controlled machine, while desktop, mobile, web, and CLI clients monitor/control those agents. 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Grok pass was unavailable or incomplete. No usage metrics were observed.","signals":[],"functionProbabilities":[{"functionId":"index","value":0.92,"source":"https://onyx.app/insights/self-hosted-rag","method":"lexical","observedAt":"2026-10-15T16:28:23.244Z"},{"functionId":"code","value":0.8,"source":"https://onyx.app/insights/self-hosted-rag","method":"lexical","observedAt":"2026-10-15T16:28:23.244Z"},{"functionId":"compose","value":0.8,"source":"https://onyx.app/insights/self-hosted-rag","method":"lexical","observedAt":"2026-10-15T16:28:23.244Z"},{"functionId":"embed","value":0.8,"source":"https://onyx.app/insights/self-hosted-rag","method":"lexical","observedAt":"2026-10-15T16:28:23.244Z"},{"functionId":"rank","value":0.8,"source":"https://onyx.app/insights/self-hosted-rag","method":"lexical","observedAt":"2026-10-15T16:28:23.244Z"},{"functionId":"search","value":0.8,"source":"https://onyx.app/insights/self-hosted-rag","method":"lexical","observedAt":"2026-10-15T16:28:23.244Z"},{"functionId":"connect","value":0.72,"source":"https://onyx.app/insights/self-hosted-rag","method":"lexical","observedAt":"2026-10-15T16:28:23.244Z"},{"functionId":"deploy","value":0.72,"source":"https://onyx.app/insights/self-hosted-rag","method":"lexical","observedAt":"2026-10-15T16:28:23.244Z"},{"functionId":"evaluate","value":0.72,"source":"https://onyx.app/insights/self-hosted-rag","method":"lexical","observedAt":"2026-10-15T16:28:23.244Z"},{"functionId":"generate","value":0.72,"source":"https://onyx.app/insights/self-hosted-rag","method":"lexical","observedAt":"2026-10-15T16:28:23.244Z"},{"functionId":"ingest","value":0.72,"source":"https://onyx.app/insights/self-hosted-rag","method":"lexical","observedAt":"2026-10-15T16:28:23.244Z"},{"functionId":"memory","value":0.72,"source":"https://onyx.app/insights/self-hosted-rag","method":"lexical","observedAt":"2026-10-15T16:28:23.244Z"},{"functionId":"observe","value":0.72,"source":"https://onyx.app/insights/self-hosted-rag","method":"lexical","observedAt":"2026-10-15T16:28:23.244Z"},{"functionId":"retrieve","value":0.72,"source":"https://onyx.app/insights/self-hosted-rag","method":"lexical","observedAt":"2026-10-15T16:28:23.244Z"},{"functionId":"store","value":0.72,"source":"https://onyx.app/insights/self-hosted-rag","method":"lexical","observedAt":"2026-10-15T16:28:23.244Z"}],"claimVerification":[{"key":"mcp","status":"unverified","asserted":"true","evidenceSource":"https://onyx.app/insights/self-hosted-rag","method":"fallback"},{"key":"api","status":"unverified","asserted":"true","evidenceSource":"https://onyx.app/insights/self-hosted-rag","method":"fallback"},{"key":"cost","status":"unverified","asserted":"unknown","evidenceSource":"https://onyx.app/insights/self-hosted-rag","method":"fallback"},{"key":"license","status":"unverified","asserted":"","evidenceSource":"https://onyx.app/insights/self-hosted-rag","method":"fallback"}],"tweets":[],"notes":[],"origin":"intake","createdAt":"2026-10-15T16:28:24.104Z","updatedAt":"2026-10-15T16:28:24.104Z","sources":[{"kind":"web","label":"executor","url":"https://onyx.app/insights/self-hosted-rag","excerpt":"All Insights\n\nSelf-Hosted AIEnterprise Search18 min readPublished May 22, 2026\n\n# Self-Hosted RAG in 2026: The Complete Guide to Running Retrieval-Augmented Generation On Your Own Infrastructure\n\nBy Roshan Desai\n\n---\n\n> **TL;DR:** Self-host","at":"2026-10-15T16:28:24.104Z"}],"recordId":"cmp_self","claims":{"name":"Self","summary":"Self-Hosted AIEnterprise Search18 min readPublished May 22, 2026","kind":"mcp","publisher":"onyx.app","homepage":"https://onyx.app/insights/self-hosted-rag","costRange":"unknown","costNotes":"Unknown: pricing was not stated in the intake evidence.","functions":["index","code","compose","embed","rank","search","connect","deploy"],"slices":[{"functionId":"index","label":"index","note":"Inferred from executor","cost":"Unknown"},{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"compose","label":"compose","note":"Inferred from executor","cost":"Unknown"},{"functionId":"embed","label":"embed","note":"Inferred from executor","cost":"Unknown"},{"functionId":"rank","label":"rank","note":"Inferred from executor","cost":"Unknown"},{"functionId":"search","label":"search","note":"Inferred from executor","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"deploy","label":"deploy","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"Heuristic from executor evidence. Grok pass was unavailable or incomplete. No usage metrics were observed."},"relations":[{"from":"self","to":"memini","kind":"alternative-to","note":"Shared functions code, compose, connect, deploy, embed, rank, search. Same kind and overlapping capability."},{"from":"self","to":"local-faiss-mcp-server","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed, index, rank, search. Can fill the same function slot."},{"from":"self","to":"casdoor","kind":"fills-same-slot-as","note":"Shared functions code, compose, connect, embed, search. Can fill the same function slot."},{"from":"self","to":"awesome","kind":"fills-same-slot-as","note":"Shared functions code, compose, connect, index, search. Can fill the same function slot."},{"from":"self","to":"claude-code","kind":"fills-same-slot-as","note":"Shared functions code, compose, connect. Can fill the same function slot."},{"from":"self","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed. Can fill the same function slot."},{"from":"self","to":"pen-dev","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed. Can fill the same function slot."},{"from":"self","to":"grok-xai","kind":"fills-same-slot-as","note":"Shared functions code, connect, search. Can fill the same function slot."}],"explain":{"score":9,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.6666666666666666,"contribution":0.06666666666666667,"why":"An MCP surface is declared. An API is declared. Cost is unknown. 2 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is 2026-10-15. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://onyx.app/insights/self-hosted-rag","excerpt":"All Insights\n\nSelf-Hosted AIEnterprise Search18 min readPublished May 22, 2026\n\n# Self-Hosted RAG in 2026: The Complete Guide to Running Retrieval-Augmented Generation On Your Own Infrastructure\n\nBy Roshan Desai\n\n---\n\n> **TL;DR:** Self-host","at":"2026-10-15T16:28:24.104Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":9},{"slug":"shadcn-ui","name":"shadcn/ui","summary":"Docs intro: shadcn/ui is a set of beautifully-designed, accessible components and a code distribution platform. 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Can fill the same function slot."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-08-26T00:00:00.000Z"},{"key":"has_docs","value":1,"source":"component-record","method":"declared-docs","observedAt":"2026-08-26T00:00:00.000Z"}],"claimVerification":[],"explain":{"score":9,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"value":0.3,"contribution":0.054,"why":"A licence is declared. 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Landing subtitle: stateful integration emulators for real developer APIs; each emulator has its own host; open one or fetch its manifest. Bar links Source Code / Report Issue to vercel-labs/emulate and Learn More to https://emulate.dev.","kind":"resource","homepage":"https://emulators.dev/","repoUrl":"https://github.com/vercel-labs/emulate","docsUrl":"https://emulate.dev/","publisher":"","license":"Apache-2.0","hasMcp":false,"hasApi":false,"costRange":"unknown","composabilityRationale":"","functions":["code"],"functionProbabilities":[{"functionId":"code","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-09-04-emulators-dev.md","method":"lexical","observedAt":"2026-09-04T00:00:00.000Z"}],"slices":[{"functionId":"code","label":"Code","note":"emulators.dev is a hosted catalog of per-service emulator hosts. Landing subtitle: stateful integration emulators for real developer APIs; each emulator has its own host; open one or fetch its manifest. 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Landing subtitle: stateful integration emulators for real developer APIs; each emulator has its own host; open one or fetch its manifest. Bar links Source Code / Report Issue to vercel-labs/emulate and Learn More to https://emulate.dev.","kind":"resource","publisher":"","homepage":"https://emulators.dev/","repoUrl":"https://github.com/vercel-labs/emulate","docsUrl":"https://emulate.dev/","license":"Apache-2.0","costRange":"unknown","functions":["code"],"slices":[{"functionId":"code","label":"Code","note":"emulators.dev is a hosted catalog of per-service emulator hosts. Landing subtitle: stateful integration emulators for real developer APIs; each emulator has its own host; open one or fetch its manifest. Bar links Source Code / Report Issue to vercel-labs/emulate and Learn More to https://emulate.dev.","cost":"unknown"}],"interfaces":[],"composabilityRationale":""},"relations":[{"from":"emulators-dev","to":"ditto","kind":"alternative-to","note":"Shared functions code. Same kind and overlapping capability."},{"from":"emulators-dev","to":"firecrawl-pdf-inspector","kind":"alternative-to","note":"Shared functions code. Same kind and overlapping capability."},{"from":"emulators-dev","to":"box","kind":"alternative-to","note":"Shared functions code. Same kind and overlapping capability."},{"from":"emulators-dev","to":"sazabi","kind":"alternative-to","note":"Shared functions code. Same kind and overlapping capability."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-09-04T00:00:00.000Z"},{"key":"has_docs","value":1,"source":"component-record","method":"declared-docs","observedAt":"2026-09-04T00:00:00.000Z"}],"claimVerification":[],"explain":{"score":8,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"value":0.3,"contribution":0.054,"why":"A licence is declared. Documentation is available.","sources":[],"evidence":"observed"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-09-04-emulators-dev.md\nemulators.dev is a hosted catalog of per-service emulator hosts. Landing subtitle: stateful integration emulators for real developer APIs; each emulator has its own host; open one or fetch its manifest. Bar links Source Code / Report Issue to vercel-labs/emulate and Learn More to https://emulate.dev.","at":"2026-09-04T00:00:00.000Z"}],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0,"contribution":0,"why":"No MCP surface is declared. No API is declared. Cost is unknown. 0 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is 2026-09-04. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-09-04-emulators-dev.md\nemulators.dev is a hosted catalog of per-service emulator hosts. Landing subtitle: stateful integration emulators for real developer APIs; each emulator has its own host; open one or fetch its manifest. Bar links Source Code / Report Issue to vercel-labs/emulate and Learn More to https://emulate.dev.","at":"2026-09-04T00:00:00.000Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":8,"tags":["source-code"]},{"slug":"firecrawl-pdf-inspector","name":"firecrawl/pdf-inspector","summary":"pdf-inspector (Firecrawl, MIT) — pure Rust library (+ Python / Node / WASM bindings) that: 1. Classifies PDFs as text-based / scanned / image-based / mixed in ~10–50ms 2. Extracts position-aware text and clean Markdown (headings, lists, tables, code) without OCR 3.","kind":"resource","homepage":"https://firecrawl.github.io/pdf-inspector/","repoUrl":"https://github.com/firecrawl/pdf-inspector","docsUrl":"https://firecrawl.github.io/pdf-inspector/","publisher":"","license":"MIT","hasMcp":false,"hasApi":false,"costRange":"unknown","composabilityRationale":"","functions":["code"],"functionProbabilities":[{"functionId":"code","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-08-02-firecrawl-pdf-inspector.md","method":"lexical","observedAt":"2026-08-02T00:00:00.000Z"}],"slices":[{"functionId":"code","label":"Code","note":"pdf-inspector (Firecrawl, MIT) — pure Rust library (+ Python / Node / WASM bindings) that: 1. Classifies PDFs as text-based / scanned / image-based / mixed in ~10–50ms 2. Extracts position-aware text and clean Markdown (headings, lists, tables, code) without OCR 3.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-02-firecrawl-pdf-inspector.md\npdf-inspector (Firecrawl, MIT) — pure Rust library (+ Python / Node / WASM bindings) that: 1. Classifies PDFs as text-based / scanned / image-based / mixed in ~10–50ms 2. Extracts position-aware text and clean Markdown (headings, lists, tables, code) without OCR 3.","at":"2026-08-02T00:00:00.000Z"}],"interfaces":[],"origin":"seed","notes":[],"createdAt":"2026-08-02T00:00:00.000Z","updatedAt":"2026-08-02T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_firecrawl-pdf-inspector","claims":{"name":"firecrawl/pdf-inspector","summary":"pdf-inspector (Firecrawl, MIT) — pure Rust library (+ Python / Node / WASM bindings) that: 1. Classifies PDFs as text-based / scanned / image-based / mixed in ~10–50ms 2. Extracts position-aware text and clean Markdown (headings, lists, tables, code) without OCR 3.","kind":"resource","publisher":"","homepage":"https://firecrawl.github.io/pdf-inspector/","repoUrl":"https://github.com/firecrawl/pdf-inspector","docsUrl":"https://firecrawl.github.io/pdf-inspector/","license":"MIT","costRange":"unknown","functions":["code"],"slices":[{"functionId":"code","label":"Code","note":"pdf-inspector (Firecrawl, MIT) — pure Rust library (+ Python / Node / WASM bindings) that: 1. Classifies PDFs as text-based / scanned / image-based / mixed in ~10–50ms 2. Extracts position-aware text and clean Markdown (headings, lists, tables, code) without OCR 3.","cost":"unknown"}],"interfaces":[],"composabilityRationale":""},"relations":[{"from":"firecrawl-pdf-inspector","to":"ditto","kind":"alternative-to","note":"Shared functions code. Same kind and overlapping capability."},{"from":"firecrawl-pdf-inspector","to":"emulators-dev","kind":"alternative-to","note":"Shared functions code. Same kind and overlapping capability."},{"from":"firecrawl-pdf-inspector","to":"box","kind":"alternative-to","note":"Shared functions code. Same kind and overlapping capability."},{"from":"firecrawl-pdf-inspector","to":"sazabi","kind":"alternative-to","note":"Shared functions code. Same kind and overlapping capability."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-08-02T00:00:00.000Z"},{"key":"has_docs","value":1,"source":"component-record","method":"declared-docs","observedAt":"2026-08-02T00:00:00.000Z"}],"claimVerification":[],"explain":{"score":8,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"value":0.3,"contribution":0.054,"why":"A licence is declared. Documentation is available.","sources":[],"evidence":"observed"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-02-firecrawl-pdf-inspector.md\npdf-inspector (Firecrawl, MIT) — pure Rust library (+ Python / Node / WASM bindings) that: 1. Classifies PDFs as text-based / scanned / image-based / mixed in ~10–50ms 2. Extracts position-aware text and clean Markdown (headings, lists, tables, code) without OCR 3.","at":"2026-08-02T00:00:00.000Z"}],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0,"contribution":0,"why":"No MCP surface is declared. No API is declared. Cost is unknown. 0 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is 2026-08-02. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-02-firecrawl-pdf-inspector.md\npdf-inspector (Firecrawl, MIT) — pure Rust library (+ Python / Node / WASM bindings) that: 1. Classifies PDFs as text-based / scanned / image-based / mixed in ~10–50ms 2. Extracts position-aware text and clean Markdown (headings, lists, tables, code) without OCR 3.","at":"2026-08-02T00:00:00.000Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":8,"tags":["text","image"]},{"slug":"rea","name":"REA","summary":"README tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls REA through MCP to inspect a local target and trace relevant code; REA returns findings with their evidence, and the agent uses them to explain the behavior or write and test an implementation.","kind":"resource","homepage":"https://rea.tools/","repoUrl":"https://github.com/morluto/rea","publisher":"","hasMcp":true,"hasApi":false,"costRange":"unknown","composabilityRationale":"","functions":["code","test","connect"],"functionProbabilities":[{"functionId":"code","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-10-10-morluto-rea.md","method":"lexical","observedAt":"2026-10-10T00:00:00.000Z"},{"functionId":"test","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-10-10-morluto-rea.md","method":"lexical","observedAt":"2026-10-10T00:00:00.000Z"},{"functionId":"connect","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-10-10-morluto-rea.md","method":"lexical","observedAt":"2026-10-10T00:00:00.000Z"}],"slices":[{"functionId":"code","label":"Code","note":"README tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls REA through MCP to inspect a local target and trace relevant code; REA returns findings with their evidence, and the agent uses them to explain the behavior or write and test an implementation.","cost":"unknown"},{"functionId":"test","label":"Test","note":"README tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls REA through MCP to inspect a local target and trace relevant code; REA returns findings with their evidence, and the agent uses them to explain the behavior or write and test an implementation.","cost":"unknown"},{"functionId":"connect","label":"Connect","note":"README tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls REA through MCP to inspect a local target and trace relevant code; REA returns findings with their evidence, and the agent uses them to explain the behavior or write and test an implementation.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-10-10-morluto-rea.md\nREADME tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls REA through MCP to inspect a local target and trace relevant code; 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Can fill the same function slot."},{"from":"rea","to":"kogiqa-mcp-web-browser","kind":"fills-same-slot-as","note":"Shared functions code, connect, test. Can fill the same function slot."},{"from":"rea","to":"agentmemory","kind":"alternative-to","note":"Shared functions code, connect. Same kind and overlapping capability."},{"from":"rea","to":"factory-droid","kind":"fills-same-slot-as","note":"Shared functions code, test. Can fill the same function slot."},{"from":"rea","to":"rtk","kind":"fills-same-slot-as","note":"Shared functions code, test. Can fill the same function slot."},{"from":"rea","to":"openai-codex","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"rea","to":"claude-code","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"rea","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."}],"signals":[],"claimVerification":[],"explain":{"score":7,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-10-10-morluto-rea.md\nREADME tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls REA through MCP to inspect a local target and trace relevant code; REA returns findings with their evidence, and the agent uses them to explain the behavior or write and test an implementation.","at":"2026-10-10T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"README tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls","at":"2026-10-10T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"The CLI uses the same workflows.","at":"2026-10-10T00:00:00.000Z"}],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.3333333333333333,"contribution":0.03333333333333333,"why":"An MCP surface is declared. No API is declared. Cost is unknown. 1 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.26214289265639185,"contribution":0.036700004971894865,"why":"3 sources cover 1 evidence types. The latest dated evidence is 2026-10-10. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-10-10-morluto-rea.md\nREADME tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls REA through MCP to inspect a local target and trace relevant code; REA returns findings with their evidence, and the agent uses them to explain the behavior or write and test an implementation.","at":"2026-10-10T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"README tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls","at":"2026-10-10T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"The CLI uses the same workflows.","at":"2026-10-10T00:00:00.000Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":7},{"slug":"invisible-playwright-mcp","name":"Invisible Playwright MCP","summary":"A locally run MCP browser agent and optional web UI that automates a stealth Firefox browser for web browsing, scraping, and page interaction.","publisher":"feder-cr","homepage":"https://github.com/feder-cr/invisible_playwright_mcp","kind":"mcp","hasApi":false,"hasMcp":true,"costRange":"unknown","costNotes":"The repository states an MIT license but does not state product pricing. The standalone web UI requires the user to provide an OpenRouter key, so external model-provider costs may apply; exact costs are unknown.","functions":["browser","code","identity","policy","search","auth","connect","notify"],"slices":[{"functionId":"browser","label":"Interactive browser automation","note":"Drives web pages using pointer movement and key presses in a stealth Firefox browser.","cost":"Unknown"},{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"identity","label":"identity","note":"Inferred from executor","cost":"Unknown"},{"functionId":"policy","label":"policy","note":"Inferred from executor","cost":"Unknown"},{"functionId":"search","label":"search","note":"Inferred from executor","cost":"Unknown"},{"functionId":"auth","label":"auth","note":"Inferred from executor","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"notify","label":"notify","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"}],"composabilityRationale":"The package explicitly provides an MCP server for assistant integration and a standalone local web UI. It supports browser automation through pointer and keyboard interaction, proxies, persistent profiles, deterministic seeds, and headed operation. 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Installation is described as pip install local-faiss-mcp from PyPI or from source; optional pandoc is mentioned for extra document formats. Cost is therefore unknown.","functions":["connect","memory","code","embed","extract","index","ingest","retrieve","search","store","rank"],"slices":[{"functionId":"ingest","label":"Document ingestion","note":"ingest_document accepts text or a file path and chunks documents into the local store.","cost":"Unknown"},{"functionId":"extract","label":"Answer extraction prompt","note":"MCP prompt extract-answer formats cited answers from retrieved chunks.","cost":"Unknown"},{"functionId":"retrieve","label":"RAG retrieval","note":"query_rag_store returns relevant document chunks for a natural-language query.","cost":"Unknown"},{"functionId":"index","label":"CLI and server indexing","note":"local-faiss index and the MCP server write FAISS indexes under a configurable index directory.","cost":"Unknown"},{"functionId":"embed","label":"Sentence embeddings","note":"Configurable Hugging Face sentence-transformers embedding models; default all-MiniLM-L6-v2.","cost":"Unknown"},{"functionId":"memory","label":"Agent memory store","note":"Positioned as local agent memory and drop-in semantic search for Claude, Copilot, and agents.","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"search","label":"Search","note":"Local FAISS vector store exposed as an MCP server for document ingestion, embeddings, persistent indexes, semantic search, optional re-ranking, and RAG-style retrieval with MCP prompts.","cost":"unknown"},{"functionId":"store","label":"Store","note":"Local FAISS vector store exposed as an MCP server for document ingestion, embeddings, persistent indexes, semantic search, optional re-ranking, and RAG-style retrieval with MCP prompts.","cost":"unknown"},{"functionId":"rank","label":"Rank","note":"Local FAISS vector store exposed as an MCP server for document ingestion, embeddings, persistent indexes, semantic search, optional re-ranking, and RAG-style retrieval with MCP prompts.","cost":"unknown"}],"interfaces":[{"kind":"mcp"}],"composabilityRationale":"Declared as a Model Context Protocol server with stdin/stdout MCP tool calls (ingest_document, query_rag_store) and MCP prompts (extract-answer, summarize-documents). It is described as usable with MCP-compatible agents and clients, plus a standalone local-faiss CLI that can reuse MCP config files. No non-MCP HTTP API is stated."},"relations":[{"from":"local-faiss-mcp-server","to":"memini","kind":"alternative-to","note":"Shared functions code, connect, embed, memory, rank, retrieve, search, store. Same kind and overlapping capability."},{"from":"local-faiss-mcp-server","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions code, connect, index, ingest, memory, retrieve. Can fill the same function slot."},{"from":"local-faiss-mcp-server","to":"lore","kind":"fills-same-slot-as","note":"Shared functions connect, extract, memory, retrieve, search, store. Can fill the same function slot."},{"from":"local-faiss-mcp-server","to":"self","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed, index, rank, search. Can fill the same function slot."},{"from":"local-faiss-mcp-server","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed, memory, retrieve. Can fill the same function slot."},{"from":"local-faiss-mcp-server","to":"awesome","kind":"fills-same-slot-as","note":"Shared functions code, connect, index, memory, search, store. Can fill the same function slot."},{"from":"local-faiss-mcp-server","to":"llamaindex","kind":"fills-same-slot-as","note":"Shared functions embed, index, ingest, memory, retrieve. Can fill the same function slot."},{"from":"local-faiss-mcp-server","to":"pulsemcp","kind":"fills-same-slot-as","note":"Shared functions connect, index, ingest, retrieve, search. Can fill the same function slot."}],"explain":{"score":6,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.3333333333333333,"contribution":0.03333333333333333,"why":"An MCP surface is declared. No API is declared. Cost is unknown. 1 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is 2026-10-16. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://github.com/nonatofabio/local_faiss_mcp","excerpt":"BranchesTags\n\n## Latest commit\n\n## History\n\n37 Commits\n\n## Folders and files\n\n## Repository files navigation\n\n# Local FAISS MCP Server\n\nA Model Context Protocol (MCP) server that provides local vector database functionality using FAISS for ","at":"2026-10-16T06:16:49.468Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":6},{"slug":"tinyfish-search-api","name":"TinyFish Search API","summary":"Web search API that returns structured titles, snippets, URLs, and ranked results for LLM or programmatic use.","publisher":"TinyFish","homepage":"https://docs.tinyfish.ai/search-api","kind":"resource","hasApi":true,"hasMcp":false,"costRange":"unknown","costNotes":"Search is free up to 12,000 requests per day; beyond that, a positive wallet balance is required. Exact pricing is not stated.","functions":["code","search","browser","store","auth","compose","parse","payment"],"slices":[{"functionId":"search","label":"Structured web search","note":"Returns titles, snippets, URLs, positions, and related result metadata.","cost":"Free up to 12,000 requests per day; exact pricing beyond that is unknown."},{"functionId":"search","label":"Filtered search","note":"Supports location, language, recency, date, domain-type, publication-year, and purpose parameters subject to documented constraints.","cost":"Unknown"},{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"browser","label":"browser","note":"Inferred from executor","cost":"Unknown"},{"functionId":"store","label":"store","note":"Inferred from executor","cost":"Unknown"},{"functionId":"auth","label":"auth","note":"Inferred from executor","cost":"Unknown"},{"functionId":"compose","label":"compose","note":"Inferred from executor","cost":"Unknown"},{"functionId":"parse","label":"parse","note":"Inferred from executor","cost":"Unknown"},{"functionId":"payment","label":"payment","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"http"}],"composabilityRationale":"Provides a public GET API endpoint with API-key authentication, structured results, and Python and JavaScript SDK examples. It supports geo targeting, freshness and date filters, domain types, and optional search intent. MCP support is not stated.","signals":[],"functionProbabilities":[{"functionId":"code","value":0.92,"source":"https://docs.tinyfish.ai/search-api","method":"lexical","observedAt":"2026-11-01T04:18:15.836Z"},{"functionId":"search","value":0.92,"source":"https://docs.tinyfish.ai/search-api","method":"lexical","observedAt":"2026-11-01T04:18:15.836Z"},{"functionId":"browser","value":0.8,"source":"https://docs.tinyfish.ai/search-api","method":"lexical","observedAt":"2026-11-01T04:18:15.836Z"},{"functionId":"store","value":0.8,"source":"https://docs.tinyfish.ai/search-api","method":"lexical","observedAt":"2026-11-01T04:18:15.836Z"},{"functionId":"auth","value":0.72,"source":"https://docs.tinyfish.ai/search-api","method":"lexical","observedAt":"2026-11-01T04:18:15.836Z"},{"functionId":"compose","value":0.72,"source":"https://docs.tinyfish.ai/search-api","method":"lexical","observedAt":"2026-11-01T04:18:15.836Z"},{"functionId":"parse","value":0.72,"source":"https://docs.tinyfish.ai/search-api","method":"lexical","observedAt":"2026-11-01T04:18:15.836Z"},{"functionId":"payment","value":0.72,"source":"https://docs.tinyfish.ai/search-api","method":"lexical","observedAt":"2026-11-01T04:18:15.836Z"},{"functionId":"route","value":0.72,"source":"https://docs.tinyfish.ai/search-api","method":"lexical","observedAt":"2026-11-01T04:18:15.836Z"},{"functionId":"tool-call","value":0.72,"source":"https://docs.tinyfish.ai/search-api","method":"lexical","observedAt":"2026-11-01T04:18:15.836Z"}],"claimVerification":[{"key":"mcp","status":"unverified","asserted":"false","evidenceSource":"https://docs.tinyfish.ai/search-api","method":"fallback"},{"key":"api","status":"unverified","asserted":"true","evidenceSource":"https://docs.tinyfish.ai/search-api","method":"fallback"},{"key":"cost","status":"unverified","asserted":"unknown","evidenceSource":"https://docs.tinyfish.ai/search-api","method":"fallback"},{"key":"license","status":"unverified","asserted":"","evidenceSource":"https://docs.tinyfish.ai/search-api","method":"fallback"}],"tweets":[],"notes":[],"origin":"intake","createdAt":"2026-11-01T04:18:16.909Z","updatedAt":"2026-11-01T04:18:16.909Z","sources":[{"kind":"web","label":"executor","url":"https://docs.tinyfish.ai/search-api","excerpt":"Search is free up to 12,000 requests per day. 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Exact pricing is not stated.","functions":["code","search","browser","store","auth","compose","parse","payment"],"slices":[{"functionId":"search","label":"Structured web search","note":"Returns titles, snippets, URLs, positions, and related result metadata.","cost":"Free up to 12,000 requests per day; exact pricing beyond that is unknown."},{"functionId":"search","label":"Filtered search","note":"Supports location, language, recency, date, domain-type, publication-year, and purpose parameters subject to documented constraints.","cost":"Unknown"},{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"browser","label":"browser","note":"Inferred from executor","cost":"Unknown"},{"functionId":"store","label":"store","note":"Inferred from executor","cost":"Unknown"},{"functionId":"auth","label":"auth","note":"Inferred from executor","cost":"Unknown"},{"functionId":"compose","label":"compose","note":"Inferred from executor","cost":"Unknown"},{"functionId":"parse","label":"parse","note":"Inferred from executor","cost":"Unknown"},{"functionId":"payment","label":"payment","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"http"}],"composabilityRationale":"Provides a public GET API endpoint with API-key authentication, structured results, and Python and JavaScript SDK examples. It supports geo targeting, freshness and date filters, domain types, and optional search intent. MCP support is not stated."},"relations":[{"from":"tinyfish-search-api","to":"camofox-browser-server","kind":"fills-same-slot-as","note":"Shared functions auth, browser, compose, search. Can fill the same function slot."},{"from":"tinyfish-search-api","to":"casdoor","kind":"fills-same-slot-as","note":"Shared functions auth, code, compose, search. Can fill the same function slot."},{"from":"tinyfish-search-api","to":"invisible-playwright-mcp","kind":"fills-same-slot-as","note":"Shared functions auth, browser, code, search. Can fill the same function slot."},{"from":"tinyfish-search-api","to":"awesome","kind":"fills-same-slot-as","note":"Shared functions code, compose, search, store. Can fill the same function slot."},{"from":"tinyfish-search-api","to":"kogiqa-mcp-web-browser","kind":"fills-same-slot-as","note":"Shared functions browser, code, search. 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Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.3333333333333333,"contribution":0.03333333333333333,"why":"No MCP surface is declared. An API is declared. Cost is unknown. 1 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is 2026-11-01. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://docs.tinyfish.ai/search-api","excerpt":"Search is free up to 12,000 requests per day. Beyond that, requests need a positive wallet balance.\n\nThe TinyFish Search API lets you run web searches and get back structured results — titles, snippets, and URLs — ready for LLM consumption ","at":"2026-11-01T04:18:16.909Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":6},{"slug":"betterwright","name":"BetterWright","summary":"BetterWright is materially faster once warm, slightly more compact, and has a strong agent-oriented design: persistent sessions, code snippets, diff snapshots, credential redaction/vaulting, network policy, evidence artifacts, and an optional contained agent loop.","kind":"app","homepage":"https://betterwright.com","repoUrl":"https://github.com/BetterWright/betterwright","publisher":"","license":"MIT","hasMcp":false,"hasApi":false,"costRange":"unknown","composabilityRationale":"","functions":["code","policy"],"functionProbabilities":[{"functionId":"code","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-08-19-betterwright-browser-runtime-benchmark.md","method":"lexical","observedAt":"2026-08-19T00:00:00.000Z"},{"functionId":"policy","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-08-19-betterwright-browser-runtime-benchmark.md","method":"lexical","observedAt":"2026-08-19T00:00:00.000Z"}],"slices":[{"functionId":"code","label":"Code","note":"BetterWright is materially faster once warm, slightly more compact, and has a strong agent-oriented design: persistent sessions, code snippets, diff snapshots, credential redaction/vaulting, network policy, evidence artifacts, and an optional contained agent loop.","cost":"unknown"},{"functionId":"policy","label":"Policy","note":"BetterWright is materially faster once warm, slightly more compact, and has a strong agent-oriented design: persistent sessions, code snippets, diff snapshots, credential redaction/vaulting, network policy, evidence artifacts, and an optional contained agent loop.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-19-betterwright-browser-runtime-benchmark.md\nBetterWright is materially faster once warm, slightly more compact, and has a strong agent-oriented design: persistent sessions, code snippets, diff snapshots, credential redaction/vaulting, network policy, evidence artifacts, and an optional contained agent loop.","at":"2026-08-19T00:00:00.000Z"}],"interfaces":[],"origin":"seed","notes":[],"createdAt":"2026-08-19T00:00:00.000Z","updatedAt":"2026-08-19T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_betterwright","claims":{"name":"BetterWright","summary":"BetterWright is materially faster once warm, slightly more compact, and has a strong agent-oriented design: persistent sessions, code snippets, diff snapshots, credential redaction/vaulting, network policy, evidence artifacts, and an optional contained agent loop.","kind":"app","publisher":"","homepage":"https://betterwright.com","repoUrl":"https://github.com/BetterWright/betterwright","license":"MIT","costRange":"unknown","functions":["code","policy"],"slices":[{"functionId":"code","label":"Code","note":"BetterWright is materially faster once warm, slightly more compact, and has a strong agent-oriented design: persistent sessions, code snippets, diff snapshots, credential redaction/vaulting, network policy, evidence artifacts, and an optional contained agent loop.","cost":"unknown"},{"functionId":"policy","label":"Policy","note":"BetterWright is materially faster once warm, slightly more compact, and has a strong agent-oriented design: persistent sessions, code snippets, diff snapshots, credential redaction/vaulting, network policy, evidence artifacts, and an optional contained agent loop.","cost":"unknown"}],"interfaces":[],"composabilityRationale":""},"relations":[{"from":"betterwright","to":"hex","kind":"alternative-to","note":"Shared functions code. Same kind and overlapping capability."},{"from":"betterwright","to":"casdoor","kind":"fills-same-slot-as","note":"Shared functions code, policy. Can fill the same function slot."},{"from":"betterwright","to":"invisible-playwright-mcp","kind":"fills-same-slot-as","note":"Shared functions code, policy. Can fill the same function slot."},{"from":"betterwright","to":"awesome","kind":"fills-same-slot-as","note":"Shared functions code, policy. Can fill the same function slot."},{"from":"betterwright","to":"memini","kind":"fills-same-slot-as","note":"Shared functions code, policy. Can fill the same function slot."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-08-19T00:00:00.000Z"}],"claimVerification":[],"explain":{"score":5,"formula":"100 × sum(weight × value) over observed factors only. 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Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-19-betterwright-browser-runtime-benchmark.md\nBetterWright is materially faster once warm, slightly more compact, and has a strong agent-oriented design: persistent sessions, code snippets, diff snapshots, credential redaction/vaulting, network policy, evidence artifacts, and an optional contained agent loop.","at":"2026-08-19T00:00:00.000Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":5},{"slug":"beui","name":"beUI","summary":"Site and README title beUI v2. Tagline: “Animated components for React and Next.js. 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Can fill the same function slot."},{"from":"pen-dev","to":"agentmemory","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"pen-dev","to":"rea","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"pen-dev","to":"tldraw","kind":"fills-same-slot-as","note":"Shared functions diagram, render. Can fill the same function slot."},{"from":"pen-dev","to":"tldraw-offline","kind":"fills-same-slot-as","note":"Shared functions diagram, render. Can fill the same function slot."},{"from":"pen-dev","to":"casdoor","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed. Can fill the same function slot."},{"from":"pen-dev","to":"self","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed. 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