{"components":[{"slug":"llamaindex","name":"LlamaIndex","summary":"Data framework for retrieval and agents. Memory and index slices, not a whole 'RAG product' box.","kind":"kit","homepage":"https://www.llamaindex.ai","repoUrl":"https://github.com/run-llama/llama_index","docsUrl":"https://docs.llamaindex.ai","publisher":"LlamaIndex","license":"MIT","hasMcp":true,"hasApi":true,"costRange":"freemium","composabilityRationale":"Index / retrieve / query engines compose. Cloud extras are optional slices. Python-first can block a TS fleet.","functions":["retrieve","index","embed","ingest","compose","memory"],"slices":[{"functionId":"index","label":"Vector index","note":"Local or hosted","cost":"OSS free; cloud usage"},{"functionId":"retrieve","label":"Query engine","note":"Ask over indexed docs","cost":"OSS + embedding spend"},{"functionId":"embed","label":"Embed","note":"Data framework for retrieval and agents. 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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":[{"kind":"github","label":"run-llama/llama_index","url":"https://github.com/run-llama/llama_index","at":"2026-09-12T00:00:00Z"}],"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":[{"kind":"github","label":"run-llama/llama_index","url":"https://github.com/run-llama/llama_index","at":"2026-09-12T00:00:00Z"}],"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 freemium. 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":"github","label":"run-llama/llama_index","url":"https://github.com/run-llama/llama_index","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":"2026-09-11T16:33:39.685Z","updatedAt":"2026-09-13T08:56:02.844Z","tags":["agents"],"recordId":"cmp_llamaindex","claims":{"name":"LlamaIndex","summary":"Data framework for retrieval and agents. 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Memory and index slices, not a whole 'RAG product' box.","cost":"freemium"},{"functionId":"memory","label":"Memory","note":"Data framework for retrieval and agents. Memory and index slices, not a whole 'RAG product' box.","cost":"freemium"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"Index / retrieve / query engines compose. Cloud extras are optional slices. Python-first can block a TS fleet."},"interfaces":[{"kind":"mcp"},{"kind":"http"}],"relations":[{"from":"llamaindex","to":"pageindex","kind":"fills-same-slot-as","note":"Shared functions embed, index, memory, retrieve. Can fill the same function slot."},{"from":"llamaindex","to":"local-office","kind":"fills-same-slot-as","note":"Shared functions ingest, memory, retrieve. Can fill the same function slot."},{"from":"llamaindex","to":"local-faiss-mcp-server","kind":"fills-same-slot-as","note":"Shared functions embed, index, ingest, memory, retrieve. Can fill the same function slot."},{"from":"llamaindex","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions index, ingest, memory, retrieve. Can fill the same function slot."},{"from":"llamaindex","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions embed, memory, retrieve. Can fill the same function slot."},{"from":"llamaindex","to":"memini","kind":"fills-same-slot-as","note":"Shared functions compose, embed, memory, retrieve. Can fill the same function slot."},{"from":"llamaindex","to":"pulsemcp","kind":"fills-same-slot-as","note":"Shared functions index, ingest, retrieve. Can fill the same function slot."},{"from":"llamaindex","to":"telemetry-dev","kind":"fills-same-slot-as","note":"Shared functions ingest, retrieve. Can fill the same function slot."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-09-13T08:56:02.844Z"},{"key":"has_docs","value":1,"source":"component-record","method":"declared-docs","observedAt":"2026-09-13T08:56:02.844Z"}],"functionProbabilities":[],"claimVerification":[]},{"slug":"build-software-better-together","name":"Build software better, together","summary":"## Here are 48 public repositories matching this topic...","publisher":"github.com","homepage":"https://github.com/topics/company-brain","kind":"mcp","hasApi":true,"hasMcp":true,"costRange":"free","costNotes":"Cost range free taken from intake evidence.","functions":["code","index","ingest","connect","memory","retrieve","route","tool-call"],"slices":[{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"index","label":"index","note":"Inferred from executor","cost":"Unknown"},{"functionId":"ingest","label":"ingest","note":"Inferred from executor","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"memory","label":"memory","note":"Inferred from executor","cost":"Unknown"},{"functionId":"retrieve","label":"retrieve","note":"Inferred from executor","cost":"Unknown"},{"functionId":"route","label":"route","note":"Inferred from executor","cost":"Unknown"},{"functionId":"tool-call","label":"tool-call","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"Heuristic from executor evidence. Grok pass was unavailable or incomplete. No usage metrics were observed.","signals":[],"functionProbabilities":[{"functionId":"code","value":0.92,"source":"https://github.com/topics/company-brain","method":"lexical","observedAt":"2026-10-16T00:14:24.433Z"},{"functionId":"index","value":0.8,"source":"https://github.com/topics/company-brain","method":"lexical","observedAt":"2026-10-16T00:14:24.433Z"},{"functionId":"ingest","value":0.8,"source":"https://github.com/topics/company-brain","method":"lexical","observedAt":"2026-10-16T00:14:24.433Z"},{"functionId":"connect","value":0.72,"source":"https://github.com/topics/company-brain","method":"lexical","observedAt":"2026-10-16T00:14:24.433Z"},{"functionId":"memory","value":0.72,"source":"https://github.com/topics/company-brain","method":"lexical","observedAt":"2026-10-16T00:14:24.433Z"},{"functionId":"retrieve","value":0.72,"source":"https://github.com/topics/company-brain","method":"lexical","observedAt":"2026-10-16T00:14:24.433Z"},{"functionId":"route","value":0.72,"source":"https://github.com/topics/company-brain","method":"lexical","observedAt":"2026-10-16T00:14:24.433Z"},{"functionId":"tool-call","value":0.72,"source":"https://github.com/topics/company-brain","method":"lexical","observedAt":"2026-10-16T00:14:24.433Z"}],"claimVerification":[{"key":"mcp","status":"unverified","asserted":"true","evidenceSource":"https://github.com/topics/company-brain","method":"fallback"},{"key":"api","status":"unverified","asserted":"true","evidenceSource":"https://github.com/topics/company-brain","method":"fallback"},{"key":"cost","status":"unverified","asserted":"free","evidenceSource":"https://github.com/topics/company-brain","method":"fallback"},{"key":"license","status":"unverified","asserted":"","evidenceSource":"https://github.com/topics/company-brain","method":"fallback"}],"tweets":[],"notes":[],"origin":"intake","createdAt":"2026-10-16T00:14:25.325Z","updatedAt":"2026-10-16T00:14:25.325Z","sources":[{"kind":"web","label":"executor","url":"https://github.com/topics/company-brain","excerpt":"#\n\n# company-brain\n\nStar\n\n## Here are 48 public repositories matching this topic...\n\n### inkeep / open-knowledge\n\nStar\n 4.6k\n\nBeautiful, AI-native markdown IDE and LLM wiki\n\n* Updated\n  Oct 16, 2026\n* TypeScript\n\n### baryhuang / claude-code","at":"2026-10-16T00:14:25.325Z"}],"recordId":"cmp_build-software-better-together","claims":{"name":"Build software better, together","summary":"## Here are 48 public repositories matching this topic...","kind":"mcp","publisher":"github.com","homepage":"https://github.com/topics/company-brain","costRange":"free","costNotes":"Cost range free taken from intake evidence.","functions":["code","index","ingest","connect","memory","retrieve","route","tool-call"],"slices":[{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"index","label":"index","note":"Inferred from executor","cost":"Unknown"},{"functionId":"ingest","label":"ingest","note":"Inferred from executor","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"memory","label":"memory","note":"Inferred from executor","cost":"Unknown"},{"functionId":"retrieve","label":"retrieve","note":"Inferred from executor","cost":"Unknown"},{"functionId":"route","label":"route","note":"Inferred from executor","cost":"Unknown"},{"functionId":"tool-call","label":"tool-call","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"Heuristic from executor evidence. Grok pass was unavailable or incomplete. No usage metrics were observed."},"relations":[{"from":"build-software-better-together","to":"pulsemcp","kind":"fills-same-slot-as","note":"Shared functions connect, index, ingest, retrieve, tool-call. Can fill the same function slot."},{"from":"build-software-better-together","to":"local-faiss-mcp-server","kind":"fills-same-slot-as","note":"Shared functions code, connect, index, ingest, memory, retrieve. Can fill the same function slot."},{"from":"build-software-better-together","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions code, connect, memory, retrieve. Can fill the same function slot."},{"from":"build-software-better-together","to":"cursor","kind":"fills-same-slot-as","note":"Shared functions code, connect, retrieve, tool-call. Can fill the same function slot."},{"from":"build-software-better-together","to":"llamaindex","kind":"fills-same-slot-as","note":"Shared functions index, ingest, memory, retrieve. Can fill the same function slot."},{"from":"build-software-better-together","to":"agentmemory","kind":"fills-same-slot-as","note":"Shared functions code, connect, memory. Can fill the same function slot."},{"from":"build-software-better-together","to":"lore","kind":"fills-same-slot-as","note":"Shared functions connect, memory, retrieve, tool-call. Can fill the same function slot."},{"from":"build-software-better-together","to":"local-office","kind":"fills-same-slot-as","note":"Shared functions ingest, memory, retrieve. Can fill the same function slot."}],"explain":{"score":13,"formula":"100 × sum(weight × value) over observed factors only. 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Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://github.com/topics/company-brain","excerpt":"#\n\n# company-brain\n\nStar\n\n## Here are 48 public repositories matching this topic...\n\n### inkeep / open-knowledge\n\nStar\n 4.6k\n\nBeautiful, AI-native markdown IDE and LLM wiki\n\n* Updated\n  Oct 16, 2026\n* TypeScript\n\n### baryhuang / claude-code","at":"2026-10-16T00:14:25.325Z"}],"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":13},{"slug":"pageindex","name":"PageIndex","summary":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","kind":"app","homepage":"https://pageindex.ai","repoUrl":"https://github.com/VectifyAI/PageIndex","docsUrl":"https://docs.pageindex.ai","publisher":"","license":"MIT","hasMcp":true,"hasApi":false,"costRange":"unknown","composabilityRationale":"","functions":["index","reason","embed","memory","retrieve"],"functionProbabilities":[{"functionId":"index","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-09-29-vectifyai-pageindex.md","method":"lexical","observedAt":"2026-09-29T00:00:00.000Z"},{"functionId":"reason","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-09-29-vectifyai-pageindex.md","method":"lexical","observedAt":"2026-09-29T00:00:00.000Z"},{"functionId":"embed","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-09-29-vectifyai-pageindex.md","method":"lexical","observedAt":"2026-09-29T00:00:00.000Z"},{"functionId":"memory","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-09-29-vectifyai-pageindex.md","method":"lexical","observedAt":"2026-09-29T00:00:00.000Z"},{"functionId":"retrieve","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-09-29-vectifyai-pageindex.md","method":"lexical","observedAt":"2026-09-29T00:00:00.000Z"}],"slices":[{"functionId":"index","label":"Index","note":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","cost":"unknown"},{"functionId":"reason","label":"Reason","note":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","cost":"unknown"},{"functionId":"embed","label":"Embed","note":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. 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First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-09-29-vectifyai-pageindex.md\nPageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","at":"2026-09-29T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"Cloud — PAGEINDEX_API_KEY; managed indexing/OCR/storage; chat still uses your model; MCP + folders/metadata (Cloud-only features).","at":"2026-09-29T00:00:00.000Z"}],"interfaces":[{"kind":"mcp"}],"origin":"seed","notes":[],"createdAt":"2026-09-29T00:00:00.000Z","updatedAt":"2026-09-29T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_pageindex","claims":{"name":"PageIndex","summary":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","kind":"app","publisher":"","homepage":"https://pageindex.ai","repoUrl":"https://github.com/VectifyAI/PageIndex","docsUrl":"https://docs.pageindex.ai","license":"MIT","costRange":"unknown","functions":["index","reason","embed","memory","retrieve"],"slices":[{"functionId":"index","label":"Index","note":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","cost":"unknown"},{"functionId":"reason","label":"Reason","note":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","cost":"unknown"},{"functionId":"embed","label":"Embed","note":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","cost":"unknown"},{"functionId":"memory","label":"Memory","note":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","cost":"unknown"}],"interfaces":[{"kind":"mcp"}],"composabilityRationale":""},"relations":[{"from":"pageindex","to":"llamaindex","kind":"fills-same-slot-as","note":"Shared functions embed, index, memory, retrieve. Can fill the same function slot."},{"from":"pageindex","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions embed, memory, retrieve. Can fill the same function slot."},{"from":"pageindex","to":"local-faiss-mcp-server","kind":"fills-same-slot-as","note":"Shared functions embed, index, memory, retrieve. Can fill the same function slot."},{"from":"pageindex","to":"alibaba-model-studio","kind":"fills-same-slot-as","note":"Shared functions embed, reason. Can fill the same function slot."},{"from":"pageindex","to":"octen","kind":"fills-same-slot-as","note":"Shared functions embed, retrieve. Can fill the same function slot."},{"from":"pageindex","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions index, memory, retrieve. Can fill the same function slot."},{"from":"pageindex","to":"turbopuffer","kind":"fills-same-slot-as","note":"Shared functions embed, memory. Can fill the same function slot."},{"from":"pageindex","to":"local-office","kind":"fills-same-slot-as","note":"Shared functions memory, retrieve. Can fill the same function slot."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-09-29T00:00:00.000Z"},{"key":"has_docs","value":1,"source":"component-record","method":"declared-docs","observedAt":"2026-09-29T00:00:00.000Z"}],"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/2026-09-29-vectifyai-pageindex.md\nPageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","at":"2026-09-29T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"Cloud — PAGEINDEX_API_KEY; managed indexing/OCR/storage; chat still uses your model; MCP + folders/metadata (Cloud-only features).","at":"2026-09-29T00:00:00.000Z"}],"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 2026-09-29. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-09-29-vectifyai-pageindex.md\nPageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. 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Grok pass was unavailable or incomplete. 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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). It is described as usable with MCP-compatible agents and clients, plus a standalone local-faiss CLI that can reuse MCP config files. No non-MCP HTTP API is stated."},"relations":[{"from":"local-faiss-mcp-server","to":"memini","kind":"alternative-to","note":"Shared functions code, connect, embed, memory, rank, retrieve, search, store. Same kind and overlapping capability."},{"from":"local-faiss-mcp-server","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions code, connect, index, ingest, memory, retrieve. Can fill the same function slot."},{"from":"local-faiss-mcp-server","to":"lore","kind":"fills-same-slot-as","note":"Shared functions connect, extract, memory, retrieve, search, store. Can fill the same function slot."},{"from":"local-faiss-mcp-server","to":"self","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed, index, rank, search. Can fill the same function slot."},{"from":"local-faiss-mcp-server","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed, memory, retrieve. Can fill the same function slot."},{"from":"local-faiss-mcp-server","to":"awesome","kind":"fills-same-slot-as","note":"Shared functions code, connect, index, memory, search, store. Can fill the same function slot."},{"from":"local-faiss-mcp-server","to":"llamaindex","kind":"fills-same-slot-as","note":"Shared functions embed, index, ingest, memory, retrieve. Can fill the same function slot."},{"from":"local-faiss-mcp-server","to":"pulsemcp","kind":"fills-same-slot-as","note":"Shared functions connect, index, ingest, retrieve, search. Can fill the same function slot."}],"explain":{"score":6,"formula":"100 × sum(weight × value) over observed factors only. 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\n/\n**visual-ui-debug-agent-mcp**\nPublic\n\n* Notifications\n   You must be signed in to change notification settings\n* Fork\n  7\n* Star\n   79\n\nBranchesTags\n\n## Repository files navigation\n\n**Autonomous MCP Server for AI-Powered Visu","at":"2026-11-04T06:17:58.295Z"}],"recordId":"cmp_vuda-visual-ui-debug-agent","claims":{"name":"VUDA (Visual UI Debug Agent)","summary":"An MCP server using Playwright to let AI models visually analyze, automate, test, and debug web interfaces.","kind":"mcp","publisher":"samihalawa","homepage":"https://github.com/samihalawa/visual-ui-debug-agent-mcp","costRange":"unknown","costNotes":"Unknown: The page states npm/npx installation and an ISC license but provides no pricing or usage-cost information.","functions":["connect","browser","crawl","extract","index","monitor","retrieve","search"],"slices":[{"functionId":"browser","label":"Playwright browser control","note":"Navigate pages and interact through clicks, form filling, selection, hovering, keyboard input, drag-and-drop, and browser history controls.","cost":"Unknown"},{"functionId":"extract","label":"Page and DOM inspection","note":"Extract visible text or rendered HTML and inspect DOM elements, styles, and properties.","cost":"Unknown"},{"functionId":"crawl","label":"Sitemap crawling","note":"Crawl sitemaps and analyze page structure.","cost":"Unknown"},{"functionId":"monitor","label":"Performance and console monitoring","note":"Measure page performance and Core Web Vitals while capturing console errors, warnings, and logs.","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"index","label":"index","note":"Inferred from executor","cost":"Unknown"},{"functionId":"retrieve","label":"retrieve","note":"Inferred from executor","cost":"Unknown"},{"functionId":"search","label":"search","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"}],"composabilityRationale":"The page declares an MCP server configurable with Claude Desktop and other MCP clients, plus programmatic MCP SDK usage. 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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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The latest dated evidence is 2026-11-04. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://github.com/samihalawa/visual-ui-debug-agent-mcp","excerpt":"samihalawa\n \n/\n**visual-ui-debug-agent-mcp**\nPublic\n\n* Notifications\n   You must be signed in to change notification settings\n* Fork\n  7\n* Star\n   79\n\nBranchesTags\n\n## Repository files navigation\n\n**Autonomous MCP Server for AI-Powered Visu","at":"2026-11-04T06:17:58.295Z"}],"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}]}