MemMachine is a universal memory layer designed for AI agents that provides persistent, rich memory storage and retrieval capabilities so autonomous agent systems can recall context, personal preferences, and long-term interaction history across sessions, models, and use cases. Unlike ephemeral LLM prompt state, MemMachine supports distinct memory types—short-term conversational context, long-term persistent knowledge, and profile memory for personalized facts—persisted in optimized stores (e.g., graph databases for episodic lines of reasoning and SQL for user facts) to support robust, context-aware intelligence in agents. It offers flexible APIs, a Python SDK, REST interfaces, and MCP (Model Context Protocol) connectivity to integrate seamlessly with agent frameworks receiving and storing memories over time, effectively boosting relevance, continuity, and tailored behavior.

Features

  • Multi-layer episodic & profile memory
  • Model-agnostic memory storage
  • Python SDK and REST API interfaces
  • MCP protocol support for agents
  • Scalable, persistent memory infrastructure
  • Self-host or cloud deployment

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Categories

Artificial Intelligence

License

Apache License V2.0

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Additional Project Details

Programming Language

Python

Related Categories

Python Artificial Intelligence Software

Registered

2026-02-04
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