{"components":[{"slug":"agent-desktop","name":"agent-desktop","publisher":"Vercel Labs","kind":"kit","summary":"Gives agents structured desktop accessibility reads and actions through a CLI, C library and MCP server.","homepage":"https://github.com/vercel-labs/agent-desktop","docsUrl":"https://github.com/vercel-labs/agent-desktop","functions":["observe","tool-call","browser"],"costRange":"free","recordId":"cmp_agent-desktop","hasMcp":true,"hasApi":true,"costNotes":"Requires supported operating-system accessibility permissions. It supplies desktop tools; an external agent supplies reasoning and authorization.","composabilityRationale":"Use its declared cli, sdk, mcp surface for the listed capability slices. 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Can fill the same function slot."},{"from":"vuda-visual-ui-debug-agent","to":"litescrape","kind":"fills-same-slot-as","note":"Shared functions extract, retrieve, search. Can fill the same function slot."},{"from":"vuda-visual-ui-debug-agent","to":"search1api","kind":"fills-same-slot-as","note":"Shared functions crawl, extract, search. Can fill the same function slot."},{"from":"vuda-visual-ui-debug-agent","to":"tikhub","kind":"fills-same-slot-as","note":"Shared functions extract, retrieve, search. Can fill the same function slot."}],"explain":{"score":6,"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"},{"functionId":"browser","label":"Browser","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. 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"},{"functionId":"extract","label":"Extract","note":"Sitegeist is an AI assistant that lives in a Chromium side panel, plus a bridge so coding agents can use the same browser. 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Leyline uses it as intake evidence crawl, not as a locked vendor.","cost":"freemium"},{"functionId":"observe","label":"Observe","note":"Search, fetch, and browser automation for agents. Free Search and Fetch; metered browser runs. 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Freshness is omitted unless observed as a signal.","sources":[{"kind":"docs","label":"TinyFish Search API","url":"https://docs.tinyfish.ai/search-api","at":"2026-09-12T00:00:00Z"},{"kind":"docs","label":"TinyFish Fetch API","url":"https://docs.tinyfish.ai/fetch-api","at":"2026-09-12T00:00:00Z"},{"kind":"web","label":"TinyFish pricing","url":"https://www.tinyfish.ai/pricing","at":"2026-09-12T00:00:00Z"},{"kind":"tweet","label":"Keith Zhai on TinyFish search","url":"https://x.com/KeithZhai/status/2097716968845672561","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","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"createdAt":"2026-09-11T16:33:41.434Z","updatedAt":"2026-09-13T08:56:02.848Z","tags":["automation","agents"],"recordId":"cmp_tinyfish","claims":{"name":"TinyFish","summary":"Search, fetch, and browser automation for agents. 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Same kind and overlapping capability."},{"from":"tinyfish","to":"playwright","kind":"fills-same-slot-as","note":"Shared functions browser, extract, observe. Can fill the same function slot."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-09-13T08:56:02.848Z"},{"key":"has_docs","value":1,"source":"component-record","method":"declared-docs","observedAt":"2026-09-13T08:56:02.848Z"},{"key":"human_note_count","value":1,"source":"component-record","method":"stored-notes","observedAt":"2026-09-13T08:56:02.848Z"}],"functionProbabilities":[],"claimVerification":[]},{"slug":"grok-xai","name":"Grok (xAI)","summary":"Reasoning and tool-using models plus a CLI harness. 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README one-liner: AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.","cost":"unknown"},{"functionId":"monitor","label":"Monitor","note":"Open-source real-time global intelligence / situational-awareness dashboard — AI-synthesized news, multi-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs). README one-liner: AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-07-22-koala73-worldmonitor.md\nOpen-source real-time global intelligence / situational-awareness dashboard — AI-synthesized news, multi-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs). README one-liner: AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"ulti-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"aps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"ayer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"}],"interfaces":[{"kind":"mcp"},{"kind":"cli"},{"kind":"http"},{"kind":"sdk"}],"origin":"seed","notes":[],"createdAt":"2026-07-22T00:00:00.000Z","updatedAt":"2026-07-22T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_world-monitor","claims":{"name":"World Monitor","summary":"Open-source real-time global intelligence / situational-awareness dashboard — AI-synthesized news, multi-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs). README one-liner: AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.","kind":"app","publisher":"Elie Habib","homepage":"https://www.worldmonitor.app","repoUrl":"https://github.com/koala73/worldmonitor","docsUrl":"https://www.worldmonitor.app/docs/documentation","costRange":"unknown","functions":["connect","monitor"],"slices":[{"functionId":"connect","label":"Connect","note":"Open-source real-time global intelligence / situational-awareness dashboard — AI-synthesized news, multi-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs). README one-liner: AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.","cost":"unknown"},{"functionId":"monitor","label":"Monitor","note":"Open-source real-time global intelligence / situational-awareness dashboard — AI-synthesized news, multi-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs). README one-liner: AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.","cost":"unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"cli"},{"kind":"http"},{"kind":"sdk"}],"composabilityRationale":""},"relations":[{"from":"world-monitor","to":"monid-289f37","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"world-monitor","to":"dory","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"world-monitor","to":"concentrate-ai","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"world-monitor","to":"google-workspace-cli","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"world-monitor","to":"mailcheap","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"world-monitor","to":"refero","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"world-monitor","to":"larasend","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"world-monitor","to":"rare-ui","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."}],"signals":[{"key":"has_docs","value":1,"source":"component-record","method":"declared-docs","observedAt":"2026-07-22T00:00:00.000Z"}],"claimVerification":[],"explain":{"score":14,"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/2026-07-22-koala73-worldmonitor.md\nOpen-source real-time global intelligence / situational-awareness dashboard — AI-synthesized news, multi-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs). README one-liner: AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"ulti-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"aps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"ayer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"}],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.6666666666666666,"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":0.3095666486376143,"contribution":0.043339330809266004,"why":"5 sources cover 1 evidence types. The latest dated evidence is 2026-07-22. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-07-22-koala73-worldmonitor.md\nOpen-source real-time global intelligence / situational-awareness dashboard — AI-synthesized news, multi-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs). README one-liner: AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"ulti-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"aps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"ayer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"}],"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":14},{"slug":"cursor","name":"Cursor","summary":"Agentic editor harness. A day-one Leyline install target: scour skill via MCP or rule file.","kind":"runtime","homepage":"https://cursor.com","publisher":"Anysphere","license":"proprietary","hasMcp":true,"hasApi":false,"costRange":"seat","composabilityRationale":"MCP and rules files make catalogue skills installable. Closed editor means the slice is 'harness', not 'library'.","functions":["code","reason","tool-call","connect","retrieve"],"slices":[{"functionId":"code","label":"Inline agent","note":"Edit in the repo","cost":"seat"},{"functionId":"connect","label":"MCP hosts","note":"Attach Leyline or other servers","cost":"included on seat"},{"functionId":"reason","label":"Reason","note":"Agentic editor harness. A day-one Leyline install target: scour skill via MCP or rule file.","cost":"seat"},{"functionId":"tool-call","label":"Tool-call","note":"Agentic editor harness. A day-one Leyline install target: scour skill via MCP or rule file.","cost":"seat"},{"functionId":"retrieve","label":"Retrieve","note":"Agentic editor harness. A day-one Leyline install target: scour skill via MCP or rule file.","cost":"seat"}],"tweets":[{"url":"https://x.com/cursor_ai/status/2085464617694777762","author":"x.com","text":"Cursor now supports Agent Plugins, an open standard for bundling skills and MCP servers for use across agents."},{"url":"https://x.com/cursor_ai/status/2084317547608911986","author":"x.com","text":"Cursor Cloud agents are now 20-30% more token efficient, and 80% more efficient on runs with computer use. We've improved how they handle MCPs, skills, and ..."},{"url":"https://x.com/devagrawal09/article/2089089101010239926","author":"x.com","text":"Cursor's agent could migrate Solid to React because that direction asks for nothing. The direction that asks for something is the one that needs a codemod, not ..."}],"sources":[{"kind":"web","label":"Cursor","url":"https://cursor.com","at":"2026-09-12T00:00:00Z"}],"origin":"seed","sector":"dev-harness","notes":[],"score":12,"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":0.15,"contribution":0.027,"why":"A licence is declared.","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":[],"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. No API is declared. Cost is seat. 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 2026-09-12. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"Cursor","url":"https://cursor.com","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":"2026-09-11T16:33:47.438Z","updatedAt":"2026-09-13T08:56:02.860Z","recordId":"cmp_cursor","claims":{"name":"Cursor","summary":"Agentic editor harness. A day-one Leyline install target: scour skill via MCP or rule file.","kind":"runtime","publisher":"Anysphere","homepage":"https://cursor.com","license":"proprietary","costRange":"seat","functions":["code","reason","tool-call","connect","retrieve"],"slices":[{"functionId":"code","label":"Inline agent","note":"Edit in the repo","cost":"seat"},{"functionId":"connect","label":"MCP hosts","note":"Attach Leyline or other servers","cost":"included on seat"},{"functionId":"reason","label":"Reason","note":"Agentic editor harness. A day-one Leyline install target: scour skill via MCP or rule file.","cost":"seat"},{"functionId":"tool-call","label":"Tool-call","note":"Agentic editor harness. A day-one Leyline install target: scour skill via MCP or rule file.","cost":"seat"},{"functionId":"retrieve","label":"Retrieve","note":"Agentic editor harness. 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. Can fill the same function slot."},{"from":"cursor","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions code, connect, retrieve. Can fill the same function slot."},{"from":"cursor","to":"executor","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"cursor","to":"zillow-data-apis","kind":"fills-same-slot-as","note":"Shared functions connect, retrieve. Can fill the same function slot."},{"from":"cursor","to":"exa","kind":"fills-same-slot-as","note":"Shared functions connect, retrieve, tool-call. Can fill the same function slot."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-09-13T08:56:02.860Z"}],"functionProbabilities":[],"claimVerification":[]},{"slug":"executor","name":"Executor","summary":"Landing hero: Connect any agent to everything. Tagline: The gateway to connect your agent to everything. Page: Executor is an MCP gateway. Anything that speaks MCP, like Claude Code, Cursor, or Codex, points at one endpoint and reaches every tool you connect.","kind":"mcp","homepage":"https://executor.sh/","repoUrl":"https://github.com/UsefulSoftwareCo/executor","docsUrl":"https://executor.sh/docs","publisher":"Rhys Sullivan","license":"MIT","hasMcp":true,"hasApi":false,"costRange":"unknown","composabilityRationale":"","functions":["code","connect"],"functionProbabilities":[{"functionId":"code","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-08-27-executor-sh.md","method":"lexical","observedAt":"2026-08-27T00:00:00.000Z"},{"functionId":"connect","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-08-27-executor-sh.md","method":"lexical","observedAt":"2026-08-27T00:00:00.000Z"}],"slices":[{"functionId":"code","label":"Code","note":"Landing hero: Connect any agent to everything. Tagline: The gateway to connect your agent to everything. Page: Executor is an MCP gateway. Anything that speaks MCP, like Claude Code, Cursor, or Codex, points at one endpoint and reaches every tool you connect.","cost":"unknown"},{"functionId":"connect","label":"Connect","note":"Landing hero: Connect any agent to everything. Tagline: The gateway to connect your agent to everything. Page: Executor is an MCP gateway. Anything that speaks MCP, like Claude Code, Cursor, or Codex, points at one endpoint and reaches every tool you connect.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-27-executor-sh.md\nLanding hero: Connect any agent to everything. Tagline: The gateway to connect your agent to everything. Page: Executor is an MCP gateway. Anything that speaks MCP, like Claude Code, Cursor, or Codex, points at one endpoint and reaches every tool you connect.","at":"2026-08-27T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"Executor — MCP gateway for agent tools (Useful Software / Rhys Sullivan)","at":"2026-08-27T00:00:00.000Z"}],"interfaces":[{"kind":"mcp"}],"origin":"seed","notes":[],"createdAt":"2026-08-27T00:00:00.000Z","updatedAt":"2026-08-27T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_executor","claims":{"name":"Executor","summary":"Landing hero: Connect any agent to everything. Tagline: The gateway to connect your agent to everything. Page: Executor is an MCP gateway. Anything that speaks MCP, like Claude Code, Cursor, or Codex, points at one endpoint and reaches every tool you connect.","kind":"mcp","publisher":"Rhys Sullivan","homepage":"https://executor.sh/","repoUrl":"https://github.com/UsefulSoftwareCo/executor","docsUrl":"https://executor.sh/docs","license":"MIT","costRange":"unknown","functions":["code","connect"],"slices":[{"functionId":"code","label":"Code","note":"Landing hero: Connect any agent to everything. Tagline: The gateway to connect your agent to everything. Page: Executor is an MCP gateway. Anything that speaks MCP, like Claude Code, Cursor, or Codex, points at one endpoint and reaches every tool you connect.","cost":"unknown"},{"functionId":"connect","label":"Connect","note":"Landing hero: Connect any agent to everything. Tagline: The gateway to connect your agent to everything. Page: Executor is an MCP gateway. Anything that speaks MCP, like Claude Code, Cursor, or Codex, points at one endpoint and reaches every tool you connect.","cost":"unknown"}],"interfaces":[{"kind":"mcp"}],"composabilityRationale":""},"relations":[{"from":"executor","to":"rea","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"executor","to":"agentmemory","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"executor","to":"openai-codex","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"executor","to":"shinzo-labs-gmail-mcp","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"executor","to":"claude-code","kind":"fills-same-slot-as","note":"Shared functions code, connect. 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. 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/2026-08-27-executor-sh.md\nLanding hero: Connect any agent to everything. Tagline: The gateway to connect your agent to everything. Page: Executor is an MCP gateway. Anything that speaks MCP, like Claude Code, Cursor, or Codex, points at one endpoint and reaches every tool you connect.","at":"2026-08-27T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"Executor — MCP gateway for agent tools (Useful Software / Rhys Sullivan)","at":"2026-08-27T00:00:00.000Z"}],"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":0.22849520230941842,"contribution":0.031989328323318585,"why":"2 sources cover 1 evidence types. The latest dated evidence is 2026-08-27. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-27-executor-sh.md\nLanding hero: Connect any agent to everything. Tagline: The gateway to connect your agent to everything. Page: Executor is an MCP gateway. Anything that speaks MCP, like Claude Code, Cursor, or Codex, points at one endpoint and reaches every tool you connect.","at":"2026-08-27T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"Executor — MCP gateway for agent tools (Useful Software / Rhys Sullivan)","at":"2026-08-27T00:00:00.000Z"}],"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":12},{"slug":"mcp-ai-gateway","name":"MCP / AI Gateway","summary":"Gateway layer that routes model calls, discovers MCP tools, and applies identity, policy, and spend controls before invocations.","kind":"resource","homepage":"https://www.reddit.com/r/mcp/comments/1wc20jx/ai_gateway_vs_mcp_gateway_do_you_actually_need/","publisher":"community","hasMcp":true,"hasApi":true,"costRange":"unknown","composabilityRationale":"Sits in front of agents, models, and MCP servers as a shared control plane for routing, identity, policy, and spend; composable with any agent harness as long as a single policy/audit plane is preserved.","functions":["route","auth","identity","policy","tool-call","observe","connect"],"slices":[{"functionId":"route","label":"Model and tool routing","note":"Routes model calls to providers and MCP tool invocations to servers."},{"functionId":"auth","label":"Per-server and per-tool auth","note":"Authorizes which agent can call which tool, with grant recheck before credentials resolve."},{"functionId":"identity","label":"Tool-call identity","note":"Binds invocations to end-user identity rather than only the agent credential."},{"functionId":"policy","label":"Unified policy plane","note":"Expresses rules spanning agent, user, tool, model, and budget, with post-hoc evidence."},{"functionId":"tool-call","label":"MCP tool invocation","note":"Discovers tools and routes their invocations through the MCP gateway."},{"functionId":"observe","label":"Call logging and audit","note":"Logs what was called so incident review can reconstruct agent permissions at a point in time."},{"functionId":"connect","label":"Integration publishing","note":"Admins publish MCP/REST integrations; users link accounts and grant exact tools and operations."}],"tweets":[],"sources":[{"kind":"reddit","label":"reddit","url":"https://www.reddit.com/r/mcp/comments/1wc20jx/ai_gateway_vs_mcp_gateway_do_you_actually_need/","excerpt":"The model gateway routes model calls to providers, the MCP gateway discovers tools and routes their invocations. Before protected or metered work begins,","at":"2026-09-11T16:44:38.733Z"},{"kind":"crawl","label":"TinyFish fetch","url":"https://www.reddit.com/r/mcp/comments/1wc20jx/ai_gateway_vs_mcp_gateway_do_you_actually_need/","excerpt":"r/mcp\n 2d ago \n\nPurple\\_Morning\\_8735\n\n# AI gateway vs MCP gateway, do you actually need both?\n\n\n\nWe have a few internal MCP servers behind some agents and Im trying to figure out if an AI gateway already covers most of this or if the MCP s","at":"2026-09-11T16:44:38.734Z"}],"origin":"intake","notes":[{"authorKind":"agent","body":"Intake via reddit.","at":"2026-09-11T16:44:38.734Z"}],"costNotes":"Public thread discusses token spend, metering, and credential starvation; no vendor pricing in the evidence.","score":12,"explain":{"score":12,"formula":"100 × sum(weight × value) over observed factors only. 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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":"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; 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"}],"interfaces":[{"kind":"mcp"},{"kind":"cli"}],"origin":"seed","notes":[],"createdAt":"2026-10-10T00:00:00.000Z","updatedAt":"2026-10-10T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_rea","claims":{"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","publisher":"","homepage":"https://rea.tools/","repoUrl":"https://github.com/morluto/rea","costRange":"unknown","functions":["code","test","connect"],"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"}],"interfaces":[{"kind":"mcp"},{"kind":"cli"}],"composabilityRationale":""},"relations":[{"from":"rea","to":"executor","kind":"fills-same-slot-as","note":"Shared functions code, connect. 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. A separate related Python library is described as exposing the Playwright API, but an API for this component itself is not explicitly stated.","signals":[],"functionProbabilities":[{"functionId":"browser","value":0.8,"source":"https://github.com/feder-cr/invisible_playwright_mcp","method":"lexical","observedAt":"2026-11-04T06:16:41.176Z"},{"functionId":"code","value":0.8,"source":"https://github.com/feder-cr/invisible_playwright_mcp","method":"lexical","observedAt":"2026-11-04T06:16:41.176Z"},{"functionId":"identity","value":0.8,"source":"https://github.com/feder-cr/invisible_playwright_mcp","method":"lexical","observedAt":"2026-11-04T06:16:41.176Z"},{"functionId":"policy","value":0.8,"source":"https://github.com/feder-cr/invisible_playwright_mcp","method":"lexical","observedAt":"2026-11-04T06:16:41.176Z"},{"functionId":"search","value":0.8,"source":"https://github.com/feder-cr/invisible_playwright_mcp","method":"lexical","observedAt":"2026-11-04T06:16:41.176Z"},{"functionId":"auth","value":0.72,"source":"https://github.com/feder-cr/invisible_playwright_mcp","method":"lexical","observedAt":"2026-11-04T06:16:41.176Z"},{"functionId":"connect","value":0.72,"source":"https://github.com/feder-cr/invisible_playwright_mcp","method":"lexical","observedAt":"2026-11-04T06:16:41.176Z"},{"functionId":"notify","value":0.72,"source":"https://github.com/feder-cr/invisible_playwright_mcp","method":"lexical","observedAt":"2026-11-04T06:16:41.176Z"},{"functionId":"tool-call","value":0.72,"source":"https://github.com/feder-cr/invisible_playwright_mcp","method":"lexical","observedAt":"2026-11-04T06:16:41.176Z"}],"claimVerification":[{"key":"mcp","status":"unverified","asserted":"true","evidenceSource":"https://github.com/feder-cr/invisible_playwright_mcp","method":"fallback"},{"key":"api","status":"unverified","asserted":"false","evidenceSource":"https://github.com/feder-cr/invisible_playwright_mcp","method":"fallback"},{"key":"cost","status":"unverified","asserted":"unknown","evidenceSource":"https://github.com/feder-cr/invisible_playwright_mcp","method":"fallback"},{"key":"license","status":"unverified","asserted":"","evidenceSource":"https://github.com/feder-cr/invisible_playwright_mcp","method":"fallback"}],"tweets":[],"notes":[],"origin":"intake","createdAt":"2026-11-04T06:16:44.035Z","updatedAt":"2026-11-04T06:16:44.035Z","sources":[{"kind":"web","label":"executor","url":"https://github.com/feder-cr/invisible_playwright_mcp","excerpt":"feder-cr\n \n/\n**invisible\\_playwright\\_mcp**\nPublic\n\n* Notifications\n   You must be signed in to change notification settings\n* Fork\n  4.7k\n* Star\n   31.7k\n\nBranchesTags\n\n## Latest commit\n\n## History\n\n353 Commits\n\n## Folders and files\n\n## Re","at":"2026-11-04T06:16:44.035Z"}],"recordId":"cmp_invisible-playwright-mcp","claims":{"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.","kind":"mcp","publisher":"feder-cr","homepage":"https://github.com/feder-cr/invisible_playwright_mcp","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. 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A Lore vault is a Notion page with Projects, Topics, Memories, Entities, and Facts databases so later sessions and people can reuse experiential knowledge, follow-up tasks, decision records, and procedures. Age","kind":"mcp","publisher":"Notion","homepage":"https://www.notion.com/blog/building-shared-memory-for-ai-agents-in-notion","costRange":"unknown","costNotes":"Unknown: The page states Lore is open source under the MIT license and stored in Notion. It does not state a price, usage fee, seat cost, or whether a paid Notion plan is required.","functions":["memory","extract","search","store","connect","evaluate","retrieve","tool-call"],"slices":[{"functionId":"memory","label":"Shared agent memory vault","note":"Persistent shared memory for experiential knowledge, follow-up tasks, decision records, and procedures, stored as related Notion pages.","cost":"Unknown"},{"functionId":"store","label":"Background memory write","note":"Hooks prompt agents to store information and save it in the background. Facts expire unless reinforced and can be linked with supersedes, scoped, or conflicts_with.","cost":"Unknown"},{"functionId":"retrieve","label":"Session context retrieval","note":"Sessions can start with relevant vault context, and agents can fetch and expand stored memories through Lore tools.","cost":"Unknown"},{"functionId":"search","label":"Structured vault search","note":"Projects, Topics, Memories, Entities, and Facts are related so agents have a predictable search structure, including fuzzy search across those relations.","cost":"Unknown"},{"functionId":"extract","label":"extract","note":"Inferred from executor","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"evaluate","label":"evaluate","note":"Inferred from executor","cost":"Unknown"},{"functionId":"tool-call","label":"tool-call","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"}],"composabilityRationale":"The page states any MCP-compatible agent harness can reference the vault through lore-* MCP tools, while humans can use the same Notion pages or a Lore CLI. It contrasts this with harness-local, model-provider, and single-machine file memory. Exact tool schemas, authentication, and any non-MCP HTTP API are not specified in the retrieved text."},"relations":[{"from":"lore","to":"exa","kind":"fills-same-slot-as","note":"Shared functions connect, extract, retrieve, search, tool-call. Can fill the same function slot."},{"from":"lore","to":"local-faiss-mcp-server","kind":"fills-same-slot-as","note":"Shared functions connect, extract, memory, retrieve, search, store. Can fill the same function slot."},{"from":"lore","to":"awesome","kind":"fills-same-slot-as","note":"Shared functions connect, evaluate, memory, search, store. Can fill the same function slot."},{"from":"lore","to":"dataforseo","kind":"fills-same-slot-as","note":"Shared functions extract, retrieve, search. Can fill the same function slot."},{"from":"lore","to":"litescrape","kind":"fills-same-slot-as","note":"Shared functions extract, retrieve, search. Can fill the same function slot."},{"from":"lore","to":"tikhub","kind":"fills-same-slot-as","note":"Shared functions extract, retrieve, search. Can fill the same function slot."},{"from":"lore","to":"pulsemcp","kind":"fills-same-slot-as","note":"Shared functions connect, retrieve, search, tool-call. Can fill the same function slot."},{"from":"lore","to":"memini","kind":"fills-same-slot-as","note":"Shared functions connect, memory, retrieve, search, store. 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://www.notion.com/blog/building-shared-memory-for-ai-agents-in-notion","excerpt":"All posts\n\nAll posts\n\nPublished August 18, 2026 in Tech\n\n# Building Shared Memory for AI Agents in Notion\n\nBy Hesham Salman\n\nEngineering, Notion\n\nAs software engineering changes, tribal knowledge is increasingly concentrated not only in a s","at":"2026-10-16T00:14:11.348Z"}],"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,"tags":["agents"]}]}