lifelog
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- AlicenseNot gradedqualityCmaintenanceEnables AI agents to query your complete local conversation history and knowledge graph over MCP, including full-fidelity transcripts, search, and typed, dated entity relationships.AGPL 3.0
- FlicenseNot gradedqualityAmaintenanceEnables AI hosts and agents to query locally indexed notes, docs, PDFs, chat logs, and other scattered files through hybrid vector and BM25 retrieval with section-level citations. It exposes tools, resources, and prompts for searching, asking questions, scoping by tags, traversing links, and reranking results.-
- FlicenseNot gradedqualityAmaintenanceEnables AI agents and MCP hosts to search and ask questions across a local hybrid-retrieval index of scattered notes, documents, PDFs, and chat logs, returning section-level citations and agent-usable tools, resources, and prompts.-
- FlicenseNot gradedqualityAmaintenanceEnables AI agents to search and query a local knowledge base of scattered notes and docs through hybrid vector plus BM25 retrieval with section-level citations, and to store, retract and explore durable memories, note links and agent harness memories. It also exposes note resources plus briefing, study-plan and contradiction-check prompts, all backed by a shared local index.-
- FlicenseNot gradedqualityAmaintenanceEnables AI agents and MCP hosts to query a local hybrid vector and BM25 index over scattered notes, docs, PDFs, web pages, and chat logs, with section-level citations and tools, resources, and prompts.-
- FlicenseNot gradedqualityAmaintenanceEnables AI agents and MCP hosts to query a local, machine-resident index of scattered notes, project docs, PDFs, Office files, and chat exports using hybrid vector + BM25 retrieval with section-level citations. Exposes tools, resources, and prompts so hosts like Claude Desktop, Cursor, and Cline can search, ask, and explore linked knowledge through natural language.-
TDQS
Scored across 4 tools
Each tool targets a distinct query intent: free-text retrieval (search), day/week digest (summary), entity lookup (people), and chronological topic evolution (timeline). search and timeline both surface facts and episodes, which could cause minor misselection, but their framing (query-driven vs. time-ordered) keeps them separable.
All four names are single lowercase words with no mixed conventions (no camelCase/snake_case clashes), so the set reads predictably. They are not a strict verb_noun pattern and mix noun forms (people, timeline, summary) with a verb (search), a minor deviation.
Four tools is on the lean side but each occupies a genuinely different retrieval axis for a personal memory domain. Nothing appears redundant, though a couple more query surfaces might be expected given the breadth of data sources described.
The read-only query surface covers search, aggregation, entity, and timeline views, which matches a passively-ingested lifelog where writes are automatic rather than tool-driven. Minor gaps exist (e.g., no direct fetch-by-episode-id, no explicit listing of sources/projects), but workable via search.