π nanobot is an ultra-lightweight personal AI assistant inspired by Clawdbot
β‘οΈ Delivers core agent functionality in just ~4,000 lines of code β 99% smaller than Clawdbot's 430k+ lines.
- 2026-02-05 β¨ Added Feishu channel, DeepSeek provider, and better scheduled tasks support!
- 2026-02-04 π v0.1.3.post4 released with multi-provider & Docker support! Check release notes for details.
- 2026-02-02 π nanobot launched! Welcome to try π nanobot!
πͺΆ Ultra-Lightweight: Just ~4,000 lines of code β 99% smaller than Clawdbot - core functionality.
π¬ Research-Ready: Clean, readable code that's easy to understand, modify, and extend for research.
β‘οΈ Lightning Fast: Minimal footprint means faster startup, lower resource usage, and quicker iterations.
π Easy-to-Use: One-click to deploy and you're ready to go.
π 24/7 Real-Time Market Analysis |
π Full-Stack Software Engineer |
π Smart Daily Routine Manager |
π Personal Knowledge Assistant |
|---|---|---|---|
| Discovery β’ Insights β’ Trends | Develop β’ Deploy β’ Scale | Schedule β’ Automate β’ Organize | Learn β’ Memory β’ Reasoning |
Install from source (latest features, recommended for development)
git clone https://github.com/HKUDS/nanobot.git cd nanobot pip install -e .
Install with uv (stable, fast)
uv tool install nanobot-ai
Install from PyPI (stable)
Tip
Set your API key in ~/.nanobot/config.json.
Get API keys: OpenRouter (LLM) Β· Brave Search (optional, for web search)
You can also change the model to minimax/minimax-m2 for lower cost.
1. Initialize
2. Configure (~/.nanobot/config.json)
{
"providers": {
"openrouter": {
"apiKey": "sk-or-v1-xxx"
}
},
"agents": {
"defaults": {
"model": "anthropic/claude-opus-4-5"
}
},
"tools": {
"web": {
"search": {
"apiKey": "BSA-xxx"
}
}
}
}3. Chat
nanobot agent -m "What is 2+2?"That's it! You have a working AI assistant in 2 minutes.
Run nanobot with your own local models using vLLM or any OpenAI-compatible server.
1. Start your vLLM server
vllm serve meta-llama/Llama-3.1-8B-Instruct --port 8000
2. Configure (~/.nanobot/config.json)
{
"providers": {
"vllm": {
"apiKey": "dummy",
"apiBase": "http://localhost:8000/v1"
}
},
"agents": {
"defaults": {
"model": "meta-llama/Llama-3.1-8B-Instruct"
}
}
}3. Chat
nanobot agent -m "Hello from my local LLM!"Tip
The apiKey can be any non-empty string for local servers that don't require authentication.
Talk to your nanobot through Telegram, WhatsApp, or Feishu β anytime, anywhere.
| Channel | Setup |
|---|---|
| Telegram | Easy (just a token) |
| Medium (scan QR) | |
| Feishu | Medium (app credentials) |
Telegram (Recommended)
1. Create a bot
- Open Telegram, search
@BotFather - Send
/newbot, follow prompts - Copy the token
2. Configure
{
"channels": {
"telegram": {
"enabled": true,
"token": "YOUR_BOT_TOKEN",
"allowFrom": ["YOUR_USER_ID"]
}
}
}Get your user ID from
@userinfoboton Telegram.
3. Run
Requires Node.js β₯18.
1. Link device
nanobot channels login
# Scan QR with WhatsApp β Settings β Linked Devices2. Configure
{
"channels": {
"whatsapp": {
"enabled": true,
"allowFrom": ["+1234567890"]
}
}
}3. Run (two terminals)
# Terminal 1 nanobot channels login # Terminal 2 nanobot gateway
Feishu (ι£δΉ¦)
Uses WebSocket long connection β no public IP required.
pip install nanobot-ai[feishu]
1. Create a Feishu bot
- Visit Feishu Open Platform
- Create a new app β Enable Bot capability
- Permissions: Add
im:message(send messages) - Events: Add
im.message.receive_v1(receive messages)- Select Long Connection mode (requires running nanobot first to establish connection)
- Get App ID and App Secret from "Credentials & Basic Info"
- Publish the app
2. Configure
{
"channels": {
"feishu": {
"enabled": true,
"appId": "cli_xxx",
"appSecret": "xxx",
"encryptKey": "",
"verificationToken": "",
"allowFrom": []
}
}
}
encryptKeyandverificationTokenare optional for Long Connection mode.allowFrom: Leave empty to allow all users, or add["ou_xxx"]to restrict access.
3. Run
[!TIP] Feishu uses WebSocket to receive messages β no webhook or public IP needed!
Config file: ~/.nanobot/config.json
Note
Groq provides free voice transcription via Whisper. If configured, Telegram voice messages will be automatically transcribed.
| Provider | Purpose | Get API Key |
|---|---|---|
openrouter |
LLM (recommended, access to all models) | openrouter.ai |
anthropic |
LLM (Claude direct) | console.anthropic.com |
openai |
LLM (GPT direct) | platform.openai.com |
deepseek |
LLM (DeepSeek direct) | platform.deepseek.com |
groq |
LLM + Voice transcription (Whisper) | console.groq.com |
gemini |
LLM (Gemini direct) | aistudio.google.com |
Full config example
{
"agents": {
"defaults": {
"model": "anthropic/claude-opus-4-5"
}
},
"providers": {
"openrouter": {
"apiKey": "sk-or-v1-xxx"
},
"groq": {
"apiKey": "gsk_xxx"
}
},
"channels": {
"telegram": {
"enabled": true,
"token": "123456:ABC...",
"allowFrom": ["123456789"]
},
"whatsapp": {
"enabled": false
},
"feishu": {
"enabled": false,
"appId": "cli_xxx",
"appSecret": "xxx",
"encryptKey": "",
"verificationToken": "",
"allowFrom": []
}
},
"tools": {
"web": {
"search": {
"apiKey": "BSA..."
}
}
}
}| Command | Description |
|---|---|
nanobot onboard |
Initialize config & workspace |
nanobot agent -m "..." |
Chat with the agent |
nanobot agent |
Interactive chat mode |
nanobot gateway |
Start the gateway |
nanobot status |
Show status |
nanobot channels login |
Link WhatsApp (scan QR) |
nanobot channels status |
Show channel status |
Scheduled Tasks (Cron)
# Add a job nanobot cron add --name "daily" --message "Good morning!" --cron "0 9 * * *" nanobot cron add --name "hourly" --message "Check status" --every 3600 # List jobs nanobot cron list # Remove a job nanobot cron remove <job_id>
Tip
The -v ~/.nanobot:/root/.nanobot flag mounts your local config directory into the container, so your config and workspace persist across container restarts.
Build and run nanobot in a container:
# Build the image docker build -t nanobot . # Initialize config (first time only) docker run -v ~/.nanobot:/root/.nanobot --rm nanobot onboard # Edit config on host to add API keys vim ~/.nanobot/config.json # Run gateway (connects to Telegram/WhatsApp) docker run -v ~/.nanobot:/root/.nanobot -p 18790:18790 nanobot gateway # Or run a single command docker run -v ~/.nanobot:/root/.nanobot --rm nanobot agent -m "Hello!" docker run -v ~/.nanobot:/root/.nanobot --rm nanobot status
nanobot/
βββ agent/ # π§ Core agent logic
β βββ loop.py # Agent loop (LLM β tool execution)
β βββ context.py # Prompt builder
β βββ memory.py # Persistent memory
β βββ skills.py # Skills loader
β βββ subagent.py # Background task execution
β βββ tools/ # Built-in tools (incl. spawn)
βββ skills/ # π― Bundled skills (github, weather, tmux...)
βββ channels/ # π± WhatsApp integration
βββ bus/ # π Message routing
βββ cron/ # β° Scheduled tasks
βββ heartbeat/ # π Proactive wake-up
βββ providers/ # π€ LLM providers (OpenRouter, etc.)
βββ session/ # π¬ Conversation sessions
βββ config/ # βοΈ Configuration
βββ cli/ # π₯οΈ Commands
PRs welcome! The codebase is intentionally small and readable. π€
Roadmap β Pick an item and open a PR!
- Voice Transcription β Support for Groq Whisper (Issue #13)
- Multi-modal β See and hear (images, voice, video)
- Long-term memory β Never forget important context
- Better reasoning β Multi-step planning and reflection
- More integrations β Discord, Slack, email, calendar
- Self-improvement β Learn from feedback and mistakes
Thanks for visiting β¨ nanobot!
nanobot is for educational, research, and technical exchange purposes only




