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OpenMemory

HTTP-SSE

Personal memory layer for LLMs with private, local data storage and control

OpenMemory

OpenMemory is your personal memory layer for LLMs - private, portable, and open-source. Your memories live locally, giving you complete control over your data. Build AI applications with personalized memories while keeping your data secure.

OpenMemory

Easy Setup

Prerequisites

  • Docker
  • OpenAI API Key

You can quickly run OpenMemory by running the following command:

curl -sL https://raw.githubusercontent.com/mem0ai/mem0/main/openmemory/run.sh | bash

You should set the OPENAI_API_KEY as a global environment variable:

export OPENAI_API_KEY=your_api_key

You can also set the OPENAI_API_KEY as a parameter to the script:

curl -sL https://raw.githubusercontent.com/mem0ai/mem0/main/openmemory/run.sh | OPENAI_API_KEY=your_api_key bash

Prerequisites

  • Docker and Docker Compose
  • Python 3.9+ (for backend development)
  • Node.js (for frontend development)
  • OpenAI API Key (required for LLM interactions, run cp api/.env.example api/.env then change OPENAI_API_KEY to yours)

Quickstart

1. Set Up Environment Variables

Before running the project, you need to configure environment variables for both the API and the UI.

You can do this in one of the following ways:

  • Manually:
    Create a .env file in each of the following directories:

    • /api/.env
    • /ui/.env
  • Using .env.example files:
    Copy and rename the example files:

    cp api/.env.example api/.env cp ui/.env.example ui/.env
  • Using Makefile (if supported):
    Run:

    make env
  • Example /api/.env

OPENAI_API_KEY=sk-xxx USER=<user-id> # The User Id you want to associate the memories with
  • Example /ui/.env

NEXT_PUBLIC_API_URL=http://localhost:8765 NEXT_PUBLIC_USER_ID=<user-id> # Same as the user id for environment variable in api

2. Build and Run the Project

You can run the project using the following two commands:

make build # builds the mcp server and ui make up # runs openmemory mcp server and ui

After running these commands, you will have:

UI not working on localhost:3000?

If the UI does not start properly on http://localhost:3000, try running it manually:

cd ui pnpm install pnpm dev

MCP Client Setup

Use the following one step command to configure OpenMemory Local MCP to a client. The general command format is as follows:

npx @openmemory/install local http://localhost:8765/mcp/<client-name>/sse/<user-id> --client <client-name>

Replace <client-name> with the desired client name and <user-id> with the value specified in your environment variables.

Project Structure

  • api/ - Backend APIs + MCP server
  • ui/ - Frontend React application

Contributing

We are a team of developers passionate about the future of AI and open-source software. With years of experience in both fields, we believe in the power of community-driven development and are excited to build tools that make AI more accessible and personalized.

We welcome all forms of contributions:

  • Bug reports and feature requests
  • Documentation improvements
  • Code contributions
  • Testing and feedback
  • Community support

How to contribute:

  1. Fork the repository
  2. Create your feature branch (git checkout -b openmemory/feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin openmemory/feature/amazing-feature)
  5. Open a Pull Request

Join us in building the future of AI memory management! Your contributions help make OpenMemory better for everyone.

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