Nanobot: Ultra‑Lightweight Open‑Source AI Assistant Revolutionizes Automation

Nanobot is an ultra‑lightweight, open‑source AI assistant that runs in just ~4,000 lines of code, delivering a full‑featured personal AI experience on any device.

What Is Nanobot and Why It Matters

In the rapidly evolving world of AI tools, developers and hobbyists constantly search for solutions that are both powerful and easy to adopt. AI platforms like UBOS have shown that a modular, low‑overhead architecture can accelerate innovation. Nanobot follows the same philosophy: a lightweight AI framework that can be deployed in seconds, runs on modest hardware, and remains fully open source. This makes it an ideal playground for tech enthusiasts, AI developers, and early adopters who want a micro‑robotic AI without the baggage of massive codebases.

Project Overview

Nanobot was launched in early 2026 by the HKUDS community as a response to the “bloat” problem in many AI assistants. While projects like Clawdbot span over 430k lines of code, Nanobot trims the core down to roughly 4,000 lines—99 % smaller. Despite its size, it supports multi‑provider LLM back‑ends, real‑time web search, scheduled tasks, and a suite of chat channel integrations (Telegram, WhatsApp, Feishu). The repository lives on GitHub under the nanobot GitHub page, where you can find the latest v0.1.3.post4 release that adds Docker support and multi‑provider flexibility.

Key Features That Set Nanobot Apart

• Ultra‑lightweight core: ~4,000 lines of clean, readable Python code.
• Multi‑provider LLM support: OpenRouter, Anthropic, OpenAI, Groq, Gemini, and local vLLM servers.
• Instant deployment: One‑click Docker image or pip install nanobot-ai gets you running in under two minutes.
• Channel flexibility: Native Telegram integration, WhatsApp QR‑login, and Feishu WebSocket support.
• Extensible toolset: Built‑in web search, voice transcription via Groq Whisper, and a plug‑in architecture for custom skills.
• Scheduled automation: Cron‑style tasks let the bot send daily reminders, fetch market data, or run maintenance scripts.

These capabilities echo the power of larger platforms while staying lean enough to run on a Raspberry Pi or a low‑cost VPS. For developers looking to experiment with OpenAI ChatGPT integration or add voice output via ElevenLabs AI voice integration, Nanobot provides a ready‑made hook system.

Installation & Usage: From Zero to Bot in Minutes

Whether you prefer a local Python environment, a containerized workflow, or a cloud‑first approach, Nanobot offers three straightforward paths:

1. Source install (development‑first):

   git clone https://github.com/HKUDS/nanobot.git
   cd nanobot
   pip install -e .

2. Fast install with uv (stable):

   uv tool install nanobot-ai

3. One‑liner from PyPI (production):

   pip install nanobot-ai

After installation, configure your API keys in ~/.nanobot/config.json. A minimal config looks like this:

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

With the config in place, launch the assistant:

nanobot agent -m "What is the weather in Berlin?"

For a visual, low‑code experience, you can embed Nanobot into a Web app editor on UBOS and connect it to the Workflow automation studio. This lets you drag‑and‑drop a chat widget onto any page, bind it to a scheduled task, and expose the bot via a public URL—all without writing a single line of code.

Community, Contribution, and the Roadmap

Nanobot thrives on an open, collaborative community. The GitHub repo tracks issues, pull requests, and a lively discussion board where contributors share new skills, channel adapters, and performance tweaks. If you’re interested in shaping the future, consider joining the UBOS partner program—a gateway to co‑marketing, early‑access features, and joint webinars.

The roadmap emphasizes three pillars:

• Voice & multimodal extensions: Integrate ElevenLabs AI voice for spoken responses.
• Long‑term memory: Persistent knowledge bases powered by Chroma DB integration.
• Enterprise‑grade security: Role‑based access, audit logs, and SSO support for the Enterprise AI platform by UBOS.

Whether you’re a solo developer or part of a startup, you can explore ready‑made templates such as the AI SEO Analyzer or the AI Chatbot template to see Nanobot in action within minutes.

“Nanobot proves that you don’t need a monolithic codebase to build a capable AI assistant. Its simplicity is its strength, inviting anyone to experiment and extend.” – Lead contributor, HKUDS

Why You Should Try Nanobot Today

If you’re looking for a lightweight AI that you can host yourself, customize freely, and integrate with modern communication channels, Nanobot checks every box. Its open‑source nature ensures transparency, while the modular design aligns perfectly with the UBOS homepage vision of democratizing AI.

Ready to get started? Grab the latest release, spin up a Docker container, and watch your personal AI come to life in under two minutes. For deeper guidance, explore the UBOS templates for quick start or dive into the UBOS blog for tutorials on integrating Nanobot with other AI services.

Explore the Nanobot Repository on GitHub