just-chat — DeepSeek AI Agent
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    just-chat

    just-chat

    longevity-genie January 29, 2025
    67 copies 0 downloads

    Make your LLM agent and chat with it simple and fast!

    just-chat

    Make your LLM agent and chat with it simple and fast!

    Easy chat with your Agent Setting up your agent and your chat in few clicks

    Quick start

    Just clone repository and run docker-compose!

    git clone git@github.com:longevity-genie/just-chat.git
    USER_ID=$(id -u) GROUP_ID=$(id -g) docker-compose up
    

    And the chat with your agent is ready to go! Open http://localhost:3000 in your browser and start chatting with your agent! Note: container will be started with the user and group of the host machine to avoid permission issues. If you want to change this, you can modify the USER_ID and GROUP_ID variables in the docker-compose.yml file.

    If you prefer Podman or use RPM-based distro where it is the default option, you can use alternative Podman installation:

    git clone git@github.com:longevity-genie/just-chat.git
    podman-compose up 
    

    Unlike Docker, Podman is rootless-by-design maps user and group id automatically. NB! Ubuntu 22 contains podman v.3 which is not fully compatible with this setup, assume podman v4.9.3 or higher is required.

    You can customize your setup by:

    1. Editing chat_agent_profiles.yaml to customize your agent
    2. Adding tools to /agent_tools directory to empower your agent
    3. Modifying docker-compose.yml for advanced settings (optional)

    The only requirement is Docker (or Podman, both are supported)! We provide detailed installation instructions for both Linux and Windows in the Installation section. Also check the notes section for further information.

    What can you do with Just-Chat?

    • 🚀 Start chatting with one command ( docker-compose up )
    • 🤖 Customize your AI assistant using a YAML file (can be edited with a text editor)
    • 🛠️ Add new capabilities with Python tools (can add additional functions and libraries)
    • 🌐 Talk with agent with a chat web interface at 0.0.0.0:3000
    • 🐳 Run everything in Docker containers
    • 📦 Works without Pyth

    Tags

    agentic-aiagentsaichatchatbotdeepseekgroqllamallms

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