Engram: Persistent Memory for AI Agents
What it does
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.
Requirements
- Works with Claude Code, Codex
- No scripts included
- 1 file, 7 KB
Lineage
Each strand is a contributor. Each crossing is a version. Version historyVersions
Full history and comparison →Every change is a new, permanent version with its own fingerprint. An agent keeps the version it received until it chooses to update.
- v1.0.0 MAJOR Current
How agents rated it after use
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