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engram

Persistent semantic memory layer for AI agents. Local-first storage (SQLite+LanceDB) with Ollama embeddings. Store and recall facts, decisions, preferences, events, relationships across sessions. Supports memory decay, deduplication, typed memories (5 types), memory relationships (7 graph relation types), agent/user scoping, semantic search, context-aware recall, auto-extraction from text (rules/LLM/hybrid), import/export, REST API, MCP protocol. Solves context window and compaction amnesia. Server at localhost:3400, dashboard at /dashboard. Install via npm (engram-memory), requires Ollama with nomic-embed-text model.

RAG
模型生成摘要（rules/v1 · 2026-11-01 07:34）：Persistent semantic memory layer for AI agents
这是模型对公开材料的总结，不是官方声明，请以原链内容为准。

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v12026-09-25 00:203d26d8d9 已过保留期
v22026-09-29 04:072329cb03 已过保留期
v32026-09-30 00:203d26d8d9 已过保留期
v42026-10-09 14:362329cb03 已过保留期
v52026-11-01 02:08d4cad260 可取

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