OpenMemory is a local-first long-term memory engine for AI agents. It provides semantic memory sectors, temporal fact tracking, automatic decay, explainable recall paths, ingestion (PDF/audio/video), and a full dashboard. Works offline or self-hosted, with JS and Python SDKs and MCP support for Claude Desktop. A faster, open-source alternative to Mem0, Zep, and Supermemory.
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Maker
📌
Thanks for checking out OpenMemory!
I built this because every AI agent today has the same fundamental limitation: no long-term memory.
Vector databases aren’t memory. Prompt stuffing isn’t memory. Caching isn’t memory.
OpenMemory is my attempt to build a real cognitive memory layer:
- multi-sector
- temporal
- decaying
- explainable
- local-first
It works completely offline, integrates with Claude Desktop (MCP), and comes with SDKs for JavaScript and Python.
If you try it, I’d love your feedback, feature requests, or ideas for what to build next.
Thanks for the support — it helps open-source projects more than people realize.
Swytchcode
Congrats on the launch!