OpenMemory – Local-first long-term memory engine for AI agents

Summary: OpenMemory is a local-first long-term memory engine designed for AI agents, offering semantic memory sectors, temporal fact tracking, automatic decay, and explainable recall paths. It supports offline use, ingestion of PDFs, audio, and video, and provides JavaScript and Python SDKs along with MCP integration for Claude Desktop.

What it does

OpenMemory manages multi-sector, temporal, and decaying memory for AI agents with explainable recall. It ingests various media types and operates offline or self-hosted.

Who it's for

It targets developers building AI agents requiring persistent, explainable long-term memory capabilities.

Why it matters

It addresses the lack of true long-term memory in AI agents by providing a cognitive memory layer beyond vector databases and caching.