{"components":[{"slug":"prime-agent","name":"Prime Agent","summary":"Prime Agent is an MIT-licensed open-source coding and research agent from Prime Intellect, built around a Recursive Language Model (RLM) runtime and a persistent IPython control environment. 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Default path is llama.cpp (their TurboQuant fork) so small quantized models stay useful for long multi-step work on consumer hardware.","at":"2026-07-23T00:00:00.000Z"}],"interfaces":[],"origin":"seed","notes":[],"createdAt":"2026-07-23T00:00:00.000Z","updatedAt":"2026-07-23T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_atomic-agent","claims":{"name":"Atomic Agent","summary":"Local-first AI agent whose control loop and all state run on the machine. Drives browser, files, approved shell, documents, memory across sessions, scheduled tasks, and MCP tools. 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Default path is llama.cpp (their TurboQuant fork) so small quantized models stay useful for long multi-step work on consumer hardware.","cost":"unknown"},{"functionId":"connect","label":"Connect","note":"Local-first AI agent whose control loop and all state run on the machine. Drives browser, files, approved shell, documents, memory across sessions, scheduled tasks, and MCP tools. Default path is llama.cpp (their TurboQuant fork) so small quantized models stay useful for long multi-step work on consumer hardware.","cost":"unknown"},{"functionId":"tool-call","label":"Tool-call","note":"Local-first AI agent whose control loop and all state run on the machine. Drives browser, files, approved shell, documents, memory across sessions, scheduled tasks, and MCP tools. Default path is llama.cpp (their TurboQuant fork) so small quantized models stay useful for long multi-step work on consumer hardware.","cost":"unknown"}],"interfaces":[],"composabilityRationale":""},"relations":[{"from":"atomic-agent","to":"vellum-assistant","kind":"alternative-to","note":"Shared functions browser, memory, tool-call. Same kind and overlapping capability."},{"from":"atomic-agent","to":"agent-desktop","kind":"fills-same-slot-as","note":"Shared functions browser, tool-call. Can fill the same function slot."},{"from":"atomic-agent","to":"agentmemory","kind":"fills-same-slot-as","note":"Shared functions connect, memory. Can fill the same function slot."},{"from":"atomic-agent","to":"browserbase","kind":"fills-same-slot-as","note":"Shared functions browser, connect. Can fill the same function slot."},{"from":"atomic-agent","to":"monetization-gateway","kind":"fills-same-slot-as","note":"Shared functions connect, tool-call. Can fill the same function slot."},{"from":"atomic-agent","to":"openship","kind":"fills-same-slot-as","note":"Shared functions connect, tool-call. Can fill the same function slot."},{"from":"atomic-agent","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions connect, memory, tool-call. Can fill the same function slot."},{"from":"atomic-agent","to":"lore","kind":"fills-same-slot-as","note":"Shared functions connect, memory, tool-call. Can fill the same function slot."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-07-23T00:00:00.000Z"}],"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/2026-07-23-atomic-agent-local-first.md\nLocal-first AI agent whose control loop and all state run on the machine. Drives browser, files, approved shell, documents, memory across sessions, scheduled tasks, and MCP tools. 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It supplies desktop tools; an external agent supplies reasoning and authorization.","composabilityRationale":"Use its declared cli, sdk, mcp surface for the listed capability slices. Source review does not establish integration success or observed usage.","interfaces":[{"kind":"cli","specUrl":"https://github.com/vercel-labs/agent-desktop"},{"kind":"sdk","specUrl":"https://github.com/vercel-labs/agent-desktop"},{"kind":"mcp","specUrl":"https://github.com/vercel-labs/agent-desktop"}],"origin":"intake","tweets":[],"notes":[],"sources":[{"kind":"github","label":"agent-desktop official repository","url":"https://github.com/vercel-labs/agent-desktop","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"slices":[{"functionId":"observe","label":"Observe","note":"Requires supported operating-system accessibility permissions. 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Can fill the same function slot."},{"from":"agent-desktop","to":"mcp-ai-gateway","kind":"fills-same-slot-as","note":"Shared functions observe, tool-call. Can fill the same function slot."}],"signals":[],"functionProbabilities":[],"claimVerification":[],"explain":{"score":13,"formula":"100 × sum(weight × value) over observed factors only. 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It requires Node.js 18 or later. API endpoint testing is a tool capability, but no standalone VUDA API interface is 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Can fill the same function slot."},{"from":"agentmemory","to":"rea","kind":"alternative-to","note":"Shared functions code, connect. Same kind and overlapping capability."},{"from":"agentmemory","to":"atomic-agent","kind":"fills-same-slot-as","note":"Shared functions connect, memory. Can fill the same function slot."},{"from":"agentmemory","to":"openai-codex","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"agentmemory","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions code, connect, memory. Can fill the same function slot."},{"from":"agentmemory","to":"awesome","kind":"fills-same-slot-as","note":"Shared functions code, connect, memory. Can fill the same function slot."},{"from":"agentmemory","to":"claude-code","kind":"fills-same-slot-as","note":"Shared functions code, connect. 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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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Can fill the same function slot."},{"from":"vellum-assistant","to":"asp-net-core","kind":"fills-same-slot-as","note":"Shared functions auth, tool-call. Can fill the same function slot."},{"from":"vellum-assistant","to":"railcode","kind":"fills-same-slot-as","note":"Shared functions auth, tool-call. Can fill the same function slot."},{"from":"vellum-assistant","to":"model-context-protocol","kind":"fills-same-slot-as","note":"Shared functions auth, tool-call. Can fill the same function slot."},{"from":"vellum-assistant","to":"mcp-ai-gateway","kind":"fills-same-slot-as","note":"Shared functions auth, tool-call. Can fill the same function slot."},{"from":"vellum-assistant","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions memory, tool-call. Can fill the same function slot."},{"from":"vellum-assistant","to":"camofox-browser-server","kind":"fills-same-slot-as","note":"Shared functions auth, browser. 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The latest dated evidence is 2026-07-28. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-07-28-vellum-assistant-oauth-integrations.md\nVellum Assistant is a personal AI assistant product (OSS + managed cloud) in the same broad class as Hermes / OpenClaw / NanoClaw: multi-channel agent, skills, memory, computer use, OAuth-connected tools, managed or self-hosted runtime. 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Cost is usage. 3 of 3 checklist fields are complete.","sources":[{"kind":"docs","label":"Exa docs","url":"https://docs.exa.ai","at":"2026-09-12T00:00:00Z"}],"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. 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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":1,"contribution":0.1,"why":"An MCP surface is declared. An API is declared. Cost is seat. 3 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":"Claude Code","url":"https://code.claude.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":"2026-09-11T16:33:49.485Z","updatedAt":"2026-09-13T08:56:02.851Z","recordId":"cmp_claude-code","claims":{"name":"Claude Code","summary":"Anthropic's terminal coding agent. 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Harness grid deep-link target for the Leyline scour skill.","cost":"seat"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"Native MCP, skills, and CLAUDE.md. Easy to add a Leyline scour skill. API is a different slice from the CLI harness."},"interfaces":[{"kind":"mcp"},{"kind":"http"}],"relations":[{"from":"claude-code","to":"openai-codex","kind":"alternative-to","note":"Shared functions code, connect, reason, tool-call. Same kind and overlapping capability."},{"from":"claude-code","to":"cursor","kind":"alternative-to","note":"Shared functions code, connect, reason, tool-call. Same kind and overlapping capability."},{"from":"claude-code","to":"grok-xai","kind":"alternative-to","note":"Shared functions code, connect, reason, tool-call. Same kind and overlapping capability."},{"from":"claude-code","to":"executor","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"claude-code","to":"shadcn-ui","kind":"fills-same-slot-as","note":"Shared functions code, compose. Can fill the same function slot."},{"from":"claude-code","to":"mobbin-mcp","kind":"fills-same-slot-as","note":"Shared functions compose, connect. Can fill the same function slot."},{"from":"claude-code","to":"openship","kind":"fills-same-slot-as","note":"Shared functions connect, tool-call. Can fill the same function slot."},{"from":"claude-code","to":"monetization-gateway","kind":"fills-same-slot-as","note":"Shared functions connect, tool-call. Can fill the same function slot."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-09-13T08:56:02.851Z"}],"functionProbabilities":[],"claimVerification":[]},{"slug":"openai-codex","name":"Codex","summary":"OpenAI coding agent / CLI. 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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. Another day-one harness on the Leyline install grid.","kind":"runtime","publisher":"OpenAI","homepage":"https://openai.com/codex","license":"proprietary","costRange":"seat","functions":["code","reason","tool-call","connect"],"slices":[{"functionId":"code","label":"Codex CLI","note":"Local coding agent","cost":"ChatGPT / API seat"},{"functionId":"reason","label":"Reason","note":"OpenAI coding agent / CLI. Another day-one harness on the Leyline install grid.","cost":"seat"},{"functionId":"tool-call","label":"Tool-call","note":"OpenAI coding agent / CLI. Another day-one harness on the Leyline install grid.","cost":"seat"},{"functionId":"connect","label":"Connect","note":"OpenAI coding agent / CLI. Another day-one harness on the Leyline install grid.","cost":"seat"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"CLI and IDE hooks. MCP support varies by surface. Treat Codex as a harness slice, not an inference gateway."},"interfaces":[{"kind":"mcp"},{"kind":"http"}],"relations":[{"from":"openai-codex","to":"claude-code","kind":"alternative-to","note":"Shared functions code, connect, reason, tool-call. Same kind and overlapping capability."},{"from":"openai-codex","to":"cursor","kind":"alternative-to","note":"Shared functions code, connect, reason, tool-call. Same kind and overlapping capability."},{"from":"openai-codex","to":"grok-xai","kind":"alternative-to","note":"Shared functions code, connect, reason, tool-call. Same kind and overlapping capability."},{"from":"openai-codex","to":"executor","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"openai-codex","to":"openship","kind":"fills-same-slot-as","note":"Shared functions connect, tool-call. Can fill the same function slot."},{"from":"openai-codex","to":"monetization-gateway","kind":"fills-same-slot-as","note":"Shared functions connect, tool-call. Can fill the same function slot."},{"from":"openai-codex","to":"rea","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"openai-codex","to":"agentmemory","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":"2026-09-13T08:56:02.854Z"}],"functionProbabilities":[],"claimVerification":[]},{"slug":"world-monitor","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). 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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). 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Can fill the same function slot."},{"from":"mcp-ai-gateway","to":"casdoor","kind":"fills-same-slot-as","note":"Shared functions auth, connect, identity, policy. Can fill the same function slot."},{"from":"mcp-ai-gateway","to":"invisible-playwright-mcp","kind":"fills-same-slot-as","note":"Shared functions auth, connect, identity, policy. Can fill the same function slot."},{"from":"mcp-ai-gateway","to":"github","kind":"fills-same-slot-as","note":"Shared functions auth, connect, observe. Can fill the same function slot."},{"from":"mcp-ai-gateway","to":"monid","kind":"fills-same-slot-as","note":"Shared functions connect, route, tool-call. Can fill the same function slot."},{"from":"mcp-ai-gateway","to":"openrouter-c833b6","kind":"fills-same-slot-as","note":"Shared functions route, tool-call. Can fill the same function slot."},{"from":"mcp-ai-gateway","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions connect, route, tool-call. 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Can fill the same function slot."}],"signals":[{"key":"human_note_count","value":1,"source":"component-record","method":"stored-notes","observedAt":"2026-09-13T08:56:02.863Z"}],"functionProbabilities":[],"claimVerification":[]},{"slug":"toloka","name":"Toloka","summary":"Human-in-the-loop training data, RL environments, and evaluation for AI agents and LLMs.","kind":"resource","homepage":"https://toloka.ai","publisher":"Toloka","hasMcp":false,"hasApi":true,"costRange":"enterprise","composabilityRationale":"Toloka is a data and evaluation vendor, not an agent runtime; it feeds training and eval loops rather than composing as an in-agent tool.","functions":["evaluate","classify","generate","observe"],"slices":[{"functionId":"evaluate","label":"RL environments and model evaluation","note":"Complex multi-step RL environments used to test and improve agent behavior."},{"functionId":"classify","label":"Human annotation and labeling","note":"Expert labeling and annotation for training and safety datasets."},{"functionId":"generate","label":"Training data generation","note":"Human-plus-tech pipelines that produce agentic, coding, and safety data."},{"functionId":"observe","label":"Human expertise feedback","note":"Expert review that surfaces model failure modes and improvement signals."}],"tweets":[],"sources":[{"kind":"web","label":"web","url":"https://toloka.ai","excerpt":"Apr 15, 2026 — The definitive list: 20 production-ready MCP servers across developer tools, productivity, data, search, design, SEO, and human expertise ...","at":"2026-09-11T16:37:36.852Z"},{"kind":"crawl","label":"TinyFish fetch","url":"https://toloka.ai","excerpt":"# Training data for AI agents and LLMs\n\nFrom agentic skills to coding and AI safety — we build data solutions integrating human expertise and technology to accelerate AI development.\n\nTalk to an expert\n\nTrusted by Leading AI Teams\n\n# What o","at":"2026-09-11T16:37:36.853Z"}],"origin":"intake","notes":[{"authorKind":"agent","body":"Intake via web.","at":"2026-09-11T16:37:36.853Z"}],"costNotes":"Enterprise data-collection engagements; no public self-serve MCP or list pricing on the homepage evidence.","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,"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,"value":0.0867528411160754,"contribution":0.012145397756250557,"why":"1 stored human notes (component-record).","sources":[],"evidence":"observed"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[{"kind":"crawl","label":"TinyFish fetch","url":"https://toloka.ai","excerpt":"# Training data for AI agents and LLMs\n\nFrom agentic skills to coding and AI safety — we build data solutions integrating human expertise and technology to accelerate AI development.\n\nTalk to an expert\n\nTrusted by Leading AI Teams\n\n# What o","at":"2026-09-11T16:37:36.853Z"}],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.6666666666666666,"contribution":0.06666666666666667,"why":"No MCP surface is declared. An API is declared. Cost is enterprise. 2 of 3 checklist fields are complete.","sources":[{"kind":"crawl","label":"TinyFish fetch","url":"https://toloka.ai","excerpt":"# Training data for AI agents and LLMs\n\nFrom agentic skills to coding and AI safety — we build data solutions integrating human expertise and technology to accelerate AI development.\n\nTalk to an expert\n\nTrusted by Leading AI Teams\n\n# What o","at":"2026-09-11T16:37:36.853Z"}],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.3284952023094184,"contribution":0.04598932832331858,"why":"2 sources cover 2 evidence types. The latest dated evidence is 2026-09-11. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"web","url":"https://toloka.ai","excerpt":"Apr 15, 2026 — The definitive list: 20 production-ready MCP servers across developer tools, productivity, data, search, design, SEO, and human expertise ...","at":"2026-09-11T16:37:36.852Z"},{"kind":"crawl","label":"TinyFish fetch","url":"https://toloka.ai","excerpt":"# Training data for AI agents and LLMs\n\nFrom agentic skills to coding and AI safety — we build data solutions integrating human expertise and technology to accelerate AI development.\n\nTalk to an expert\n\nTrusted by Leading AI Teams\n\n# What o","at":"2026-09-11T16:37:36.853Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"createdAt":"2026-09-11T16:37:36.854Z","updatedAt":"2026-09-13T08:56:02.862Z","tags":["agents"],"recordId":"cmp_toloka","claims":{"name":"Toloka","summary":"Human-in-the-loop training data, RL environments, and evaluation for AI agents and LLMs.","kind":"resource","publisher":"Toloka","homepage":"https://toloka.ai","costRange":"enterprise","costNotes":"Enterprise data-collection engagements; no public self-serve MCP or list pricing on the homepage evidence.","functions":["evaluate","classify","generate","observe"],"slices":[{"functionId":"evaluate","label":"RL environments and model evaluation","note":"Complex multi-step RL environments used to test and improve agent behavior."},{"functionId":"classify","label":"Human annotation and labeling","note":"Expert labeling and annotation for training and safety datasets."},{"functionId":"generate","label":"Training data generation","note":"Human-plus-tech pipelines that produce agentic, coding, and safety data."},{"functionId":"observe","label":"Human expertise feedback","note":"Expert review that surfaces model failure modes and improvement signals."}],"interfaces":[{"kind":"http"}],"composabilityRationale":"Toloka is a data and evaluation vendor, not an agent runtime; it feeds training and eval loops rather than composing as an in-agent tool."},"interfaces":[{"kind":"http"}],"relations":[{"from":"toloka","to":"langsmith","kind":"fills-same-slot-as","note":"Shared functions evaluate, observe. Can fill the same function slot."},{"from":"toloka","to":"openrouter","kind":"fills-same-slot-as","note":"Shared functions generate, observe. Can fill the same function slot."},{"from":"toloka","to":"typesafe-jev","kind":"fills-same-slot-as","note":"Shared functions classify, evaluate. Can fill the same function slot."},{"from":"toloka","to":"41-open-source-llms-evaluated-on-19-benchmarks","kind":"fills-same-slot-as","note":"Shared functions evaluate, generate. Can fill the same function slot."}],"signals":[{"key":"human_note_count","value":1,"source":"component-record","method":"stored-notes","observedAt":"2026-09-13T08:56:02.862Z"}],"functionProbabilities":[],"claimVerification":[]},{"slug":"bb","name":"bb","summary":"bb is an MIT-licensed, self-hosted agentic IDE that coordinates installed coding-agent CLIs in persistent, steerable threads. Its first-class control surfaces are a desktop app, web app, CLI, and HTTP API. The project’s central differentiator is that much of its UI/workflow surface is implemented as plugins, so an agent can extend the IDE itself rather than only working inside a fixed product.","kind":"app","homepage":"https://getbb.app","repoUrl":"https://github.com/get-bb/bb","publisher":"","license":"MIT","hasMcp":false,"hasApi":true,"costRange":"unknown","composabilityRationale":"","functions":["compose"],"functionProbabilities":[{"functionId":"compose","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-08-06-get-bb-bb.md","method":"lexical","observedAt":"2026-08-06T00:00:00.000Z"}],"slices":[{"functionId":"compose","label":"Compose","note":"bb is an MIT-licensed, self-hosted agentic IDE that coordinates installed coding-agent CLIs in persistent, steerable threads. Its first-class control surfaces are a desktop app, web app, CLI, and HTTP API. The project’s central differentiator is that much of its UI/workflow surface is implemented as plugins, so an agent can extend the IDE itself rather than only working inside a fixed product.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-06-get-bb-bb.md\nbb is an MIT-licensed, self-hosted agentic IDE that coordinates installed coding-agent CLIs in persistent, steerable threads. Its first-class control surfaces are a desktop app, web app, CLI, and HTTP API. 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Its first-class control surfaces are a desktop app, web app, CLI, and HTTP API. The project’s central differentiator is that much of its UI/workflow surface is implemented as plugins, so an agent can extend the IDE itself rather than only working inside a fixed product.","kind":"app","publisher":"","homepage":"https://getbb.app","repoUrl":"https://github.com/get-bb/bb","license":"MIT","costRange":"unknown","functions":["compose"],"slices":[{"functionId":"compose","label":"Compose","note":"bb is an MIT-licensed, self-hosted agentic IDE that coordinates installed coding-agent CLIs in persistent, steerable threads. Its first-class control surfaces are a desktop app, web app, CLI, and HTTP API. The project’s central differentiator is that much of its UI/workflow surface is implemented as plugins, so an agent can extend the IDE itself rather than only working inside a fixed product.","cost":"unknown"}],"interfaces":[{"kind":"cli"},{"kind":"http"}],"composabilityRationale":""},"relations":[{"from":"bb","to":"hark","kind":"alternative-to","note":"Shared functions compose. Same kind and overlapping capability."},{"from":"bb","to":"shadcn-ui","kind":"alternative-to","note":"Shared functions compose. Same kind and overlapping capability."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-08-06T00:00:00.000Z"}],"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":"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":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-06-get-bb-bb.md\nbb is an MIT-licensed, self-hosted agentic IDE that coordinates installed coding-agent CLIs in persistent, steerable threads. Its first-class control surfaces are a desktop app, web app, CLI, and HTTP API. The project’s central differentiator is that much of its UI/workflow surface is implemented as plugins, so an agent can extend the IDE itself rather than only working inside a fixed product.","at":"2026-08-06T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"Its first-class control surfaces are a desktop app, web app, CLI, and HTTP API.","at":"2026-08-06T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"Its first-class control surfaces are a desktop app, web app, CLI, and HTTP API.","at":"2026-08-06T00:00:00.000Z"}],"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":"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":0.26214289265639185,"contribution":0.036700004971894865,"why":"3 sources cover 1 evidence types. The latest dated evidence is 2026-08-06. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-06-get-bb-bb.md\nbb is an MIT-licensed, self-hosted agentic IDE that coordinates installed coding-agent CLIs in persistent, steerable threads. Its first-class control surfaces are a desktop app, web app, CLI, and HTTP API. The project’s central differentiator is that much of its UI/workflow surface is implemented as plugins, so an agent can extend the IDE itself rather than only working inside a fixed product.","at":"2026-08-06T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"Its first-class control surfaces are a desktop app, web app, CLI, and HTTP API.","at":"2026-08-06T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"Its first-class control surfaces are a desktop app, web app, CLI, and HTTP API.","at":"2026-08-06T00:00:00.000Z"}],"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":10},{"slug":"box","name":"Box","summary":"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.","kind":"resource","homepage":"https://box.ascii.dev/","docsUrl":"https://docs.ascii.dev/box/quickstart","publisher":"","hasMcp":false,"hasApi":true,"costRange":"unknown","composabilityRationale":"","functions":["code","stream"],"functionProbabilities":[{"functionId":"code","value":0.92,"source":"06 Knowledge Library/Resources/coding/2026-08-19-ascii-dev-box.md","method":"lexical","observedAt":"2026-08-19T00:00:00.000Z"},{"functionId":"stream","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-08-19-ascii-dev-box.md","method":"lexical","observedAt":"2026-08-19T00:00:00.000Z"}],"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"}],"tweets":[],"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.). 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.","at":"2026-08-19T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"r machine, snapshot/stop/resume, fork-from-snapshot, optional 60fps desktop stream, and a CLI/API/box prompt path for Claude Code or Codex.","at":"2026-08-19T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"r machine, snapshot/stop/resume, fork-from-snapshot, optional 60fps desktop stream, and a CLI/API/box prompt path for Claude Code or Codex.","at":"2026-08-19T00:00:00.000Z"}],"interfaces":[{"kind":"cli"},{"kind":"http"}],"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_box","claims":{"name":"Box","summary":"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.","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.). 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.","at":"2026-08-19T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"r machine, snapshot/stop/resume, fork-from-snapshot, optional 60fps desktop stream, and a CLI/API/box prompt path for Claude Code or Codex.","at":"2026-08-19T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"r machine, snapshot/stop/resume, fork-from-snapshot, optional 60fps desktop stream, and a CLI/API/box prompt path for Claude Code or Codex.","at":"2026-08-19T00:00:00.000Z"}],"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":"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":0.26214289265639185,"contribution":0.036700004971894865,"why":"3 sources cover 1 evidence types. The latest dated evidence is 2026-08-19. Freshness is omitted unless observed as a signal.","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.). 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.","at":"2026-08-19T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"r machine, snapshot/stop/resume, fork-from-snapshot, optional 60fps desktop stream, and a CLI/API/box prompt path for Claude Code or Codex.","at":"2026-08-19T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"r machine, snapshot/stop/resume, fork-from-snapshot, optional 60fps desktop stream, and a CLI/API/box prompt path for Claude Code or Codex.","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":10,"tags":["agents"]},{"slug":"elevenlabs","name":"ElevenLabs","publisher":"ElevenLabs","kind":"app","summary":"Developer interfaces for speech generation, transcription, audio and voice-agent workflows.","homepage":"https://elevenlabs.io/","docsUrl":"https://elevenlabs.io/docs/overview/intro","functions":["generate","transcribe","telephony"],"costRange":"unknown","recordId":"cmp_elevenlabs","hasMcp":true,"hasApi":true,"costNotes":"Capabilities, rights, regions and usage charges depend on the chosen API and account.","composabilityRationale":"Use its declared http, sdk, mcp surface for the listed capability slices. Source review does not establish integration success or observed usage.","interfaces":[{"kind":"http","specUrl":"https://elevenlabs.io/docs/overview/intro"},{"kind":"sdk","specUrl":"https://elevenlabs.io/docs/overview/intro"},{"kind":"mcp","specUrl":"https://elevenlabs.io/docs/overview/intro"}],"origin":"intake","tweets":[],"notes":[],"sources":[{"kind":"docs","label":"ElevenLabs official documentation","url":"https://elevenlabs.io/docs/overview/intro","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"},{"kind":"docs","label":"ElevenLabs official documentation","url":"https://elevenlabs.io/mcp","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"slices":[{"functionId":"generate","label":"Generate","note":"Capabilities, rights, regions and usage charges depend on the chosen API and account.","cost":"unknown"},{"functionId":"transcribe","label":"Transcribe","note":"Capabilities, rights, regions and usage charges depend on the chosen API and account.","cost":"unknown"},{"functionId":"telephony","label":"Telephony","note":"Capabilities, rights, regions and usage charges depend on the chosen API and account.","cost":"unknown"}],"claims":{"name":"ElevenLabs","summary":"Developer interfaces for speech generation, transcription, audio and voice-agent workflows.","kind":"app","publisher":"ElevenLabs","homepage":"https://elevenlabs.io/","docsUrl":"https://elevenlabs.io/docs/overview/intro","costRange":"unknown","costNotes":"Capabilities, rights, regions and usage charges depend on the chosen API and account.","functions":["generate","transcribe","telephony"],"slices":[{"functionId":"generate","label":"Generate","note":"Capabilities, rights, regions and usage charges depend on the chosen API and account.","cost":"unknown"},{"functionId":"transcribe","label":"Transcribe","note":"Capabilities, rights, regions and usage charges depend on the chosen API and account.","cost":"unknown"},{"functionId":"telephony","label":"Telephony","note":"Capabilities, rights, regions and usage charges depend on the chosen API and account.","cost":"unknown"}],"interfaces":[{"kind":"http","specUrl":"https://elevenlabs.io/docs/overview/intro"},{"kind":"sdk","specUrl":"https://elevenlabs.io/docs/overview/intro"},{"kind":"mcp","specUrl":"https://elevenlabs.io/docs/overview/intro"}],"composabilityRationale":"Use its declared http, sdk, mcp surface for the listed capability slices. Source review does not establish integration success or observed usage."},"relations":[],"signals":[],"functionProbabilities":[],"claimVerification":[],"explain":{"score":10,"formula":"100 × sum(weight × value) over observed factors only. 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Cost is unknown. 0 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 2026-06-23. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-06-23-googleworkspace-cli.md\ngws is a single Google Workspace CLI. It dynamically reads Google's Discovery Service at runtime and builds its command surface from the available APIs instead of shipping a static command list. The README positions it as built for both humans and AI agents: every response is structured JSON, and the repo includes 40+ agent skills.","at":"2026-06-23T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"googleworkspace, Google Workspace CLI (gws)","at":"2026-06-23T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"r both humans and AI agents: every response is structured JSON, and the repo includes 40+ agent skills.","at":"2026-06-23T00:00:00.000Z"}],"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":9,"tags":["agents"]},{"slug":"memini","name":"memini","summary":"Self-hosted persistent memory service for MCP-capable agents. 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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.","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. 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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.","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. 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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":"openrouter-c833b6","name":"OpenRouter","summary":"OpenRouter is a unified large language model inference router and model marketplace: one OpenAI-compatible HTTP application programming interface across many underlying inference providers, with automatic fallbacks and cost-aware routing. The marketplace object is models and inference providers (tokens in → tokens out), not installable agent tools ranked by dual human-and-agent reputation.","kind":"app","homepage":"https://openrouter.ai/","docsUrl":"https://openrouter.ai/docs","publisher":"","hasMcp":false,"hasApi":true,"costRange":"unknown","composabilityRationale":"","functions":["route","tool-call"],"functionProbabilities":[{"functionId":"route","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-09-11-openrouter.md","method":"lexical","observedAt":"2026-09-11T00:00:00.000Z"},{"functionId":"tool-call","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-09-11-openrouter.md","method":"lexical","observedAt":"2026-09-11T00:00:00.000Z"}],"slices":[{"functionId":"route","label":"Route","note":"OpenRouter is a unified large language model inference router and model marketplace: one OpenAI-compatible HTTP application programming interface across many underlying inference providers, with automatic fallbacks and cost-aware routing. The marketplace object is models and inference providers (tokens in → tokens out), not installable agent tools ranked by dual human-and-agent reputation.","cost":"unknown"},{"functionId":"tool-call","label":"Tool-call","note":"OpenRouter is a unified large language model inference router and model marketplace: one OpenAI-compatible HTTP application programming interface across many underlying inference providers, with automatic fallbacks and cost-aware routing. The marketplace object is models and inference providers (tokens in → tokens out), not installable agent tools ranked by dual human-and-agent reputation.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-09-11-openrouter.md\nOpenRouter is a unified large language model inference router and model marketplace: one OpenAI-compatible HTTP application programming interface across many underlying inference providers, with automatic fallbacks and cost-aware routing. The marketplace object is models and inference providers (tokens in → tokens out), not installable agent tools ranked by dual human-and-agent reputation.","at":"2026-09-11T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"d large language model inference router and model marketplace: one OpenAI-compatible HTTP application programming interface across many underlying inference providers, with automatic fallbacks and cost-aware routi","at":"2026-09-11T00:00:00.000Z"}],"interfaces":[{"kind":"http"}],"origin":"seed","notes":[],"createdAt":"2026-09-11T00:00:00.000Z","updatedAt":"2026-09-11T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_openrouter-c833b6","claims":{"name":"OpenRouter","summary":"OpenRouter is a unified large language model inference router and model marketplace: one OpenAI-compatible HTTP application programming interface across many underlying inference providers, with automatic fallbacks and cost-aware routing. 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The marketplace object is models and inference providers (tokens in → tokens out), not installable agent tools ranked by dual human-and-agent reputation.","cost":"unknown"},{"functionId":"tool-call","label":"Tool-call","note":"OpenRouter is a unified large language model inference router and model marketplace: one OpenAI-compatible HTTP application programming interface across many underlying inference providers, with automatic fallbacks and cost-aware routing. The marketplace object is models and inference providers (tokens in → tokens out), not installable agent tools ranked by dual human-and-agent reputation.","cost":"unknown"}],"interfaces":[{"kind":"http"}],"composabilityRationale":""},"relations":[{"from":"openrouter-c833b6","to":"blockrun","kind":"alternative-to","note":"Shared functions route, tool-call. Same kind and overlapping capability."},{"from":"openrouter-c833b6","to":"model-context-protocol","kind":"fills-same-slot-as","note":"Shared functions route, tool-call. Can fill the same function slot."},{"from":"openrouter-c833b6","to":"monid","kind":"fills-same-slot-as","note":"Shared functions route, tool-call. Can fill the same function slot."},{"from":"openrouter-c833b6","to":"mcp-ai-gateway","kind":"fills-same-slot-as","note":"Shared functions route, tool-call. Can fill the same function slot."},{"from":"openrouter-c833b6","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions route, tool-call. Can fill the same function slot."}],"signals":[{"key":"has_docs","value":1,"source":"component-record","method":"declared-docs","observedAt":"2026-09-11T00:00:00.000Z"}],"claimVerification":[],"explain":{"score":9,"formula":"100 × sum(weight × value) over observed factors only. 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The 2026-08-03 @tldraw post demos the agent-native angle: you can make your own tools on the canvas — e.g.","at":"2026-08-04T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"mise (launch + README): coding agents (Codex, Claude Code, Pi, OpenCode, Hermes via local HTTP API) can inspect the open canvas, edit shapes, and write durable scripts so a .tldraw file be","at":"2026-08-04T00:00:00.000Z"}],"interfaces":[{"kind":"http"}],"origin":"seed","notes":[],"createdAt":"2026-08-04T00:00:00.000Z","updatedAt":"2026-08-04T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_tldraw-offline","claims":{"name":"tldraw offline","summary":"tldraw offline is tldraw’s local, file-based desktop infinite canvas (no accounts / no server required for core use). Documents save as portable .tldraw files (canvas + media + optional embedded document scripts). 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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 2026-08-04. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/design/2026-08-04-tldraw-offline-agent-canvas-skills.md\ntldraw offline is tldraw’s local, file-based desktop infinite canvas (no accounts / no server required for core use). Documents save as portable .tldraw files (canvas + media + optional embedded document scripts). The 2026-08-03 @tldraw post demos the agent-native angle: you can make your own tools on the canvas — e.g.","at":"2026-08-04T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"mise (launch + README): coding agents (Codex, Claude Code, Pi, OpenCode, Hermes via local HTTP API) can inspect the open canvas, edit shapes, and write durable scripts so a .tldraw file be","at":"2026-08-04T00:00:00.000Z"}],"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":9,"tags":["documents"]},{"slug":"treg","name":"Treg","summary":"Treg is an agent-oriented tool registry and credential-injection proxy. Its hosted catalog claims roughly 2,600 endpoints across about 40 providers, searchable by task with request/response shape and per-call prices. A team can also register its own API credentials, OAuth connections, CLIs, and SKILL.md bundles; callers use one Treg token while upstream credentials remain server-side.","kind":"app","homepage":"https://treg.superdesign.dev/","repoUrl":"https://github.com/superdesigndev/treg","docsUrl":"https://treg.superdesign.dev/docs","publisher":"","license":"Apache-2.0","hasMcp":false,"hasApi":false,"costRange":"unknown","composabilityRationale":"","functions":["auth"],"functionProbabilities":[{"functionId":"auth","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-08-12-superdesigndev-treg.md","method":"lexical","observedAt":"2026-08-12T00:00:00.000Z"}],"slices":[{"functionId":"auth","label":"Auth","note":"Treg is an agent-oriented tool registry and credential-injection proxy. Its hosted catalog claims roughly 2,600 endpoints across about 40 providers, searchable by task with request/response shape and per-call prices. A team can also register its own API credentials, OAuth connections, CLIs, and SKILL.md bundles; callers use one Treg token while upstream credentials remain server-side.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-12-superdesigndev-treg.md\nTreg is an agent-oriented tool registry and credential-injection proxy. Its hosted catalog claims roughly 2,600 endpoints across about 40 providers, searchable by task with request/response shape and per-call prices. A team can also register its own API credentials, OAuth connections, CLIs, and SKILL.md bundles; callers use one Treg token while upstream credentials remain server-side.","at":"2026-08-12T00:00:00.000Z"}],"interfaces":[],"origin":"seed","notes":[],"createdAt":"2026-08-12T00:00:00.000Z","updatedAt":"2026-08-12T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_treg","claims":{"name":"Treg","summary":"Treg is an agent-oriented tool registry and credential-injection proxy. Its hosted catalog claims roughly 2,600 endpoints across about 40 providers, searchable by task with request/response shape and per-call prices. 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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/2026-08-12-superdesigndev-treg.md\nTreg is an agent-oriented tool registry and credential-injection proxy. Its hosted catalog claims roughly 2,600 endpoints across about 40 providers, searchable by task with request/response shape and per-call prices. 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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). 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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":"lore","name":"Lore","summary":"Open-source shared persistent memory for AI agents, backed by Notion. 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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. 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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. 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