OpenMemory
CaviraOSS
Local, self-hosted long-term memory store modeled in sectors with a temporal knowledge graph.
What is OpenMemory?
A local, self-hosted long-term memory store ('cognitive memory engine') for LLM apps, pitched as an alternative to RAG. It models memory in sectors (episodic, semantic, procedural) with a temporal knowledge graph and explainable recall traces.
Pros & Cons
Pros
- Local-first, self-hosted (SQLite or Postgres), no lock-in
- Connectors (GitHub, Notion, Drive) and migration from Mem0/Zep
- Python and JS SDKs, integrations with LangChain, CrewAI, AutoGen, MCP
Cons
- Smallest community here, and no release since December 2025 - the least actively maintained
- The homepage says MIT, but it is actually Apache-2.0 (sloppy, if minor)
- Comparison benchmarks are the project's own
License
Apache-2.0 (OSI-open)
When it is interesting
A local, explainable memory layer with ready connectors.
When it is too early
If active maintenance matters to you (six months without a release).
This repo featured in the 2026-06 edition of the Open-Source AI Radar.
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