SUMMARY AI summary by gpt-5-mini
agent-knowledge is a pure‑Python, local-first knowledge base and long-term memory layer for AI agents. It compiles conversations, documents and decisions into structured Claims and Evidence, merges claims into Compiled Truths, and maintains an append-only timeline with provenance and contradiction detection so agents can answer “what is current and why” with traceable sources. Intended users: developers building AI agents and MCP-aware clients (examples provided for Claude Code, Cursor, Codex). Key features: compiled claim/evidence model; multi-path retrieval (Exact, BM25, knowledge graph, weighted RRF, TF‑IDF reranker); zero vector dependencies by default; MCP stdio JSON‑RPC server; local YAML vault + SQLite event index; auto-capture hooks; offline “dream” consolidation; CLI tools (ak init/ingest/query/dream/lint). MIT licensed, Python 3.10–3.13. Benchmarked R@5 96.6% on LongMemEval-S.
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| Created on GitHub | 2026-05-16 |
| Last push | 2026-05-16 |
| First seen here | 2026-05-16 |
| Last fetched | 2026-05-16 18:18 |
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