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

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, Linear, and other channels
• 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, Mattermost, and Linear.
• 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:

Prerequisites: Python 3.11 or newer. Git and Bun are only needed for a source install. Published packages include the WebUI, and supported platform wheels also include the native TUI. A source-distribution install can 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.

Platform wheels include both the WebUI and the native terminal UI: macOS 13+ (Apple Silicon and Intel), glibc 2.17+ Linux (ARM64 and x64), and Windows x64. The x64 runtime requires SSE4.2. Pip selects the matching wheel; opening the TUI does not need a separate GitHub download or Bun installation. A source-distribution install on a supported target can use the matching checksummed GitHub release archive. On other platforms, use nanobot --classic or the WebUI.

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 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

1. Open Settings → Models and choose a provider, credential, and model.
2. Start a new topic and send Hello! to verify the connection.
3. 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