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MemMachine

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Open-source memory for stateful AI agents and LLM apps

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What is MemMachine?

MemMachine is an open-source memory layer designed for stateful AI agents and LLM applications. It enables agents to learn, store, and recall data from past interactions, providing persistent memory across multiple sessions, agents, and large language models.

With MemMachine, you can build personalized, context-aware assistants that remember user preferences, conversation history, and important facts. It transforms generic chatbots into AI companions that deliver tailored responses and build trust over time.

The architecture separates episodic memory for conversational context and profile memory for long-term user facts, persisting data to graph and vector databases. It offers a RESTful API, Python SDK, and MCP Server for integration, making it suitable for healthcare, content discovery, team collaboration, and more.

Built by a community of AI enthusiasts and trusted by innovative teams, MemMachine is the most accurate memory solution for production-ready agents.

How to use MemMachine

  1. 1

    Install MemMachine via pip or clone the GitHub repository.

  2. 2

    Initialize MemMachine with your preferred database configuration (graph and vector).

  3. 3

    Integrate the Python SDK into your agent’s interaction loop.

  4. 4

    Use episodic memory methods to store and retrieve conversation history.

  5. 5

    Use profile memory methods to save and recall user-specific facts.

Key features

Persistent episodic memory retains conversational context across sessions, agents, and LLMs.

Profile memory stores long-term user facts and preferences for deep personalization.

Open-source, accurate memory engine for stateful AI applications.

Enables complex, long-running workflows by recalling previous steps and user feedback.

Integrates via REST API, Python SDK, or MCP Server with any agent.

Use cases

  • Personalized healthcare agents that remember patient preferences for empathetic scheduling.
  • AI sparring partners that recall user blind spots and patterns for tailored coaching.
  • CRM automation that remembers previous interactions to manage complex workflows.
  • Content discovery tools that surface relevant articles based on user history.
  • Browser extensions that extract and recall information across browsing sessions.

Best for

AI Agent DevelopersLLM Application BuildersConversational AI EngineersEnterprise AI TeamsOpen-source EnthusiastsIndie Hackers

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Frequently asked questions about MemMachine

Common questions to help you decide if MemMachine is right for you.

Yes, MemMachine is fully open-source and free to use. You can access the code on GitHub and deploy it for personal or commercial projects.

It stores conversational context as episodic memory and user facts as profile memory, using graph and vector databases to retrieve relevant information across sessions.

You can build personalized healthcare assistants, content discovery tools, CRM automation, AI coaches, and any application requiring persistent user memory and context.

MemMachine is LLM-agnostic and integrates via REST API, Python SDK, or MCP Server, so it works with any AI agent or model.

It's open-source, highly accurate, and designed specifically for stateful AI agents, with a unique dual-memory approach that persists across sessions and models.

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