About

nano-claw is a TypeScript + Node.js implementation of nanobot, an ultra-lightweight personal AI assistant inspired by OpenClaw.

🪶 Ultra-Lightweight: Just ~2,500 lines of core TypeScript code

🔬 Research-Ready: Clean, readable code that's easy to understand and extend

⚡️ Lightning Fast: Minimal footprint for faster startup and lower resource usage

💎 Easy-to-Use: Simple configuration and intuitive CLI

Architecture

nano-claw/
├── src/
│   ├── agent/          # 🧠 Core agent logic
│   │   ├── loop.ts     #    Agent loop (LLM ↔ tool execution)
│   │   ├── context.ts  #    Prompt builder
│   │   ├── memory.ts   #    Persistent memory
│   │   ├── skills.ts   #    Skills loader
│   │   ├── subagent.ts #    Background task execution
│   │   └── tools/      #    Built-in tools
│   ├── skills/         # 🎯 Bundled skills (github, weather, etc.)
│   ├── channels/       # 📱 Chat channel integrations
│   ├── bus/            # 🚌 Message routing
│   ├── cron/           # ⏰ Scheduled tasks
│   ├── heartbeat/      # 💓 Proactive wake-up
│   ├── providers/      # 🤖 LLM providers (OpenRouter, etc.)
│   ├── session/        # 💬 Session management
│   ├── config/         # ⚙️ Configuration
│   └── cli/            # 🖥️ Command-line interface
└── package.json

Features

Core Agent

• Agent Loop: LLM and tool execution loop
• Context Builder: Construct prompt context
• Memory: Persistent conversation memory
• Skills Loader: Dynamic skill loading from Markdown files
• Subagent: Background task management
• Tools: Built-in tools (shell, file operations, etc.)

LLM Providers

Support for multiple LLM providers:

• OpenRouter (recommended, access to all models)
• Anthropic (Claude)
• OpenAI (GPT)
• DeepSeek
• Groq
• Gemini
• MiniMax
• AiHubMix (API gateway, all models) ✨ NEW
• Dashscope (Qwen)
• Moonshot (Kimi)
• Zhipu (GLM)
• vLLM (local models)

Chat Channels

Support for multiple chat platforms:

• Telegram ✅ Implemented
• Discord ✅ Implemented
• DingTalk / 钉钉 ✅ Implemented
• WhatsApp (config ready)
• Feishu / 飞书 (config ready)
• Slack (config ready)
• Email (config ready)
• QQ (config ready)
• Mochat (config ready)

Note: Telegram, Discord, and DingTalk channel adapters are fully implemented. Additional channel adapters can be added by extending the BaseChannel class.

Other Features

• Gateway Server: Central hub for channel management ✨ NEW
• Message Bus: Event-driven message routing ✨ NEW
• Cron Tasks: Schedule tasks with cron expressions
• Heartbeat: Proactive wake-up mechanism ✨ NEW
• Session Management: Multi-user, multi-channel session support ✨ ENHANCED
• Subagent Tasks: Background task execution ✨ NEW
• Configuration: JSON configuration files with Zod validation

Installation

# Clone the repository
git clone https://github.com/hustcc/nano-claw.git
cd nano-claw

# Install dependencies
npm install

# Build the project
npm run build

# Link for global usage (optional)
npm link

Quick Start

1. Initialize

nano-claw onboard

2. Configure (~/.nano-claw/config.json)

For OpenRouter (recommended):

{
  "providers": {
    "openrouter": {
      "apiKey": "sk-or-v1-xxx"
    }
  },
  "agents": {
    "defaults": {
      "model": "anthropic/claude-opus-4-5"
    }
  }
}

3. Chat

nano-claw agent -m "What is 2+2?"

CLI Commands

• nano-claw onboard - Initialize configuration
• nano-claw agent -m "..." - Chat with agent (single message)
• nano-claw agent - Interactive mode
• nano-claw gateway - Start gateway server for channels ✨ NEW
• nano-claw status - Show system status
• nano-claw channels login - Login to channels (e.g., WhatsApp)
• nano-claw cron add/list/remove - Manage scheduled tasks

Development

# Watch mode (auto-rebuild on changes)
npm run dev

# Lint code
npm run lint

# Format code
npm run format

# Run tests
npm run test

Configuration

Configuration file location: ~/.nano-claw/config.json

See CONFIGURATION.md for detailed configuration options including:

• All 11 LLM providers setup
• Agent behavior customization
• Tool execution security
• Chat channel integrations
• Environment variables

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - see LICENSE file for details