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OpenMemory

by CaviraOSS · 2025
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Free · OpenMemory is available under the Apache 2.0 license and can be self-hosted locally. There is no paid subscription required for the open-source project. Free plan Open source
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OpenMemory

OpenMemory is an open-source long-term memory engine for LLM applications and AI agents. It provides persistent memory so AI applications can retain facts, events, skills, and insights instead of treating every interaction as completely new. It can run locally with SQLite or connect to external databases, and it can also operate as a central server with an API, dashboard, and MCP support.

Key Features

  • Long-term memory for AI agents and LLM applications
  • Local-first and self-hosted architecture
  • SQLite support by default
  • PostgreSQL support
  • Python SDK
  • Node.js SDK
  • Central backend server
  • HTTP API
  • MCP server
  • Memory dashboard
  • Episodic, semantic, procedural, emotional, and reflective memory
  • Temporal knowledge graph
  • Salience and recency-based memory scoring
  • Adaptive memory decay
  • Explainable memory recall
  • Multiple embedding providers
  • Data connectors
  • Memory migration tools
  • Offline-friendly operation

Pros & Cons

Pros

  • Free and open source
  • Self-hosted and local-first
  • Gives AI applications persistent memory
  • Supports Python and JavaScript
  • Works with multiple AI agent frameworks
  • Provides explainable memory retrieval
  • Supports both local and centralized deployments
  • Includes migration tools for existing memory systems

Cons

  • The project is currently being rewritten
  • Breaking changes and bugs may occur
  • Requires technical knowledge for self-hosting
  • Configuration can become more complex for larger deployments
  • Some advanced features are still listed on the roadmap

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