nanobot

by HKUDSVerified

Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps

47,288
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Python
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8/23/2026
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⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

Read the Terms of Service

Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/HKUDS/nanobot

Getting Started

Guides for using skills like nanobot.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

nanobot

🐈 nanobot is an ultra-lightweight, open-source, self-hosted personal AI agent framework written in Python. It runs in a WebUI, terminal, or chat apps and combines tools, long-term memory, MCP integrations, model routing, multi-agent delegation, scheduled automation, and an OpenAI-compatible API in a small, readable core.

Start Here

You want to... Go to

Install nanobot with no terminal/config background Start Without Technical Background

Install quickly and get one CLI reply Install and Quick Start

Open the bundled browser UI WebUI

Connect Telegram, Discord, WeChat, Slack, Email, Mattermost, or another chat app Chat Apps

Configure providers, fallback models, Langfuse, MCP, web tools, or security Docs and Configuration

Understand or extend the internals Architecture and Development

Deploy to the cloud or keep nanobot running as a service Deployment

What can nanobot do?

nanobot is a self-hosted personal AI agent runtime. It can:

  • run in a browser WebUI or terminal

  • connect to Telegram, Discord, Slack, WeChat, Email, Mattermost, and other chat apps

  • use tools such as files, shell, web search, web fetch, MCP, cron, image generation, and subagents

  • keep session history and long-term memory through Dream

  • run long-horizon goals and scheduled automations

  • expose a Python SDK and OpenAI-compatible API for integrations

  • deploy as a long-running local or server-side agent gateway

💡 Why nanobot

  • Persistent workflows: goals, memory, tools, and chat context survive long-running work.

  • Chat-native reach: WebUI, API, Telegram, Feishu, Slack, Discord, Teams, email, and Mattermost.

  • Model freedom: OpenAI-compatible APIs, local LLMs, image generation, search, and fallbacks.

  • Small core: readable internals with MCP, memory, deployment, and automation built in.

  • Own your stack: inspect, customize, self-host, and extend without a giant platform.

📦 Install

[!IMPORTANT] If you want the newest features and experiments, install from source.

If you want the most stable day-to-day experience, install from PyPI or with uv.

Pick one install method:

Track Install with Update with What runs

Stable installer, uv, or pip the same package tool one released Python/WebUI/TUI version

Current source editable Git checkout git pull --ff-only + editable dependency sync Python, WebUI, and TUI from that checkout

Prerequisites: Python 3.11 or newer. Git and Bun are only needed for a source install. Published packages include the WebUI and fetch a checksummed, version-matched TUI archive—with its licenses, notices, corresponding application source, source offer, and relinking instructions—on first use.

If terminals, API keys, or config files are new to you, use the guided zero-background walkthrough in Start Without Technical Background instead of this compact README path.

One-command setup

macOS / Linux:

curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh | sh

Windows PowerShell:

irm https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.ps1 | iex

The default command installs or upgrades nanobot-ai from PyPI. On a fresh local desktop, it then starts nanobot webui so you can configure the first provider and model in Settings → Models. SSH, headless, existing-config, and older-release paths keep the terminal setup wizard. The installer avoids system-wide pip installs by using an active virtual environment, uv, pipx, or a managed venv under ~/.nanobot/venv. It also prints the exact command it used to run nanobot; reuse that full command below if nanobot is not on PATH.

To preview the plan without changing your environment, pass --dry-run.

curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh | sh -s -- --dry-run
& ([scriptblock]::Create((irm https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.ps1))) --dry-run

If you prefer to inspect the script first, open scripts/install.sh or scripts/install.ps1.

Install with uv

uv tool install nanobot-ai

Install from PyPI with pip

python -m pip install nanobot-ai

If pip reports externally-managed-environment on macOS or Linux, use the one-command installer, uv tool install nanobot-ai, pipx install nanobot-ai, or install inside a virtual environment.

Install from source

Clone the repository and install it in editable mode. Bun is required because the source checkout runs the matching TUI directly instead of downloading an older release binary.

git clone https://github.com/HKUDS/nanobot.git
cd nanobot
python -m venv .venv

Activate it with source .venv/bin/activate on macOS/Linux or .venv\Scripts\Activate.ps1 in Windows PowerShell, then run:

python -m pip install -e .

After that, the normal commands are identical to a stable install. nanobot agent runs the TUI from this checkout, and nanobot webui rebuilds stale frontend assets automatically. A later git pull --ff-only updates the Python, TUI, and WebUI source together; rerun python -m pip install -e . when Python dependencies change. Contributors should also read CONTRIBUTING.md.

Verify the install:

nanobot --version

If nanobot is not on PATH, invoke it through the method that installed it: reuse the recommended installer's command, use uv tool run --from nanobot-ai nanobot ... or pipx run --spec nanobot-ai nanobot ..., or use the Python executable from the environment where pip installed the package.

🚀 Quick Start

Open nanobot in your browser

nanobot webui

This is the recommended first run. The launcher creates the config and workspace when needed, safely enables the local WebSocket channel after confirmation, starts or joins the shared local gateway, and opens http://127.0.0.1:8765. A fresh install can open before a model is configured, so setup continues in the browser instead of beginning in a JSON file. The first-run WebUI binds to localhost by default and is not exposed to your LAN.

Your first three steps

  • Open Settings → Models and choose a provider, credential, and model.

  • Start a new topic and send Hello! to verify the connection.

  • Before project work, choose the intended workspace and access mode from the composer.

Any normal reply means the provider, model, workspace, and browser gateway are working together.

Keep nanobot running after you close the terminal

nanobot gateway --background

This is the only command that promotes the shared gateway to persistent background mode. It leaves channels and automations running after every local TUI and WebUI launcher exits. Complete first-time model setup with nanobot webui before switching to background mode; open the same localhost WebUI again afterward.

nanobot gateway status
nanobot gateway logs
nanobot gateway restart
nanobot gateway stop

Prefer a gateway-first workflow?

nanobot

Frequently Asked Questions

What is nanobot?

nanobot is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by HKUDS. Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps. It has 47,288 GitHub stars.

Is nanobot safe to use?

Yes. nanobot passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install nanobot?

Clone the repository with "git clone https://github.com/HKUDS/nanobot" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is nanobot written in?

nanobot is primarily written in Python. It is open-source under HKUDS on GitHub, so you can review or fork the full source.

Are there alternatives to nanobot?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh nanobot against similar tools.

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