Make your LLM agent and chat with it simple and fast!
# just-chat Make your LLM agent and chat with it simple and fast!  *Setting up your agent and your chat in few clicks* ## Quick start Just clone repository and run docker-compose! ```bash git clone [email protected]: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: ```bash git clone [email protected]: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](#installation) section. Also check the [notes](#some-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
HAL 分层混合模型工作流 — 强模型(Claude)负责理解/拆解/验收,低成本模型(DeepSeek)负责检索/提取/清洗。Hermes Agent skill。
An LLM agent fine-tuned on DeepSeek for spaced repetition, dynamically integrating knowledge points based on the Ebbinghaus forgetting curve.
基于 STM32F103 构建的端到端 AI 智能手表生态。自研“零重定位”原生机器码动态加载引擎与页面栈式 UI 框架;集成生产级 OTA 回滚保护机制与高带宽(921600 baud)串口协议栈。通过 Node.js 中继实现 DeepSeek AI 语义控制及 ASRPRO 语音全双工交互,是一个集成了分布式计算、现代存储管理与 AI Agent 的嵌入式全栈工程。
A Meta-Agent-Driven Self-Evolving Multi-Agent System for UAV Detection and Tracking
One command to run Hermes AI Agent with a browser UI. Zero prerequisites. 一行命令,AI 就位。
网页应用Agent,接入DeepSeek、Mimo等模型