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nanobot

HKUDS/nanobot

Lightweight, open-source AI agent for your tools, chats, and workflows.

GraphCanon updated 5d · GitHub synced 5d

47k stars8.3k forksLast push 5d Python MIT

Decision brief

nanobot is a lightweight AI framework that eases integration of various AI models into specific applications such as chatbots and workflow automation.

Good fit when

  • When you need to integrate lightweight and open-source AI functionalities in your existing Python projects, especially when leveraging models like Claude or ChatGPT.
  • For seamless development where interoperability between different AI tools and workflows is critical to maintain the efficiency of your applications.

Avoid when

  • If your project requirements demand a high level of customization and complex functionality beyond simple chatbots and straightforward workflow automation, as nanobot's lightweight architecture may be
Requirements:
Min 1 GB RAM

Observed Jul 11, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of 5d
Provenance
Not a fork · Organization account
As of 5d
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install nanobot
PyPI

How it fits your stack(12)

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Alternative

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Optional deeper exploration of typed edges and category neighbours.

Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

nanobot is a lightweight, open-source platform that facilitates the integration of various AI models such as Anthropic and OpenAI into different applications including chatbots and workflow automation tools. It supports interfacing with popular models like Claude and ChatGPT.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Aug 16, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Aug 16, 2026

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Aug 16, 2026

Languages
python

Source: github.language+pyproject.toml · Aug 16, 2026

Categories

Graph entities

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 16, 2026)

Prerequisites: Python 3.11 or newer. Git is only needed for a source install. Published packages already i
Source link

Tags

README

📦 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 is only needed for a source install. Published packages already include the WebUI; a current-source install needs bun or npm to build it.

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; combine it with --dev when you want to preview the main-branch install.

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

To install the current main branch instead, pass --dev:

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

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

bun or npm must be available. From an activated virtual environment:

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

On Windows, if pip reports that it cannot launch npm, run cd webui, npm.cmd install --package-lock=false, npm.cmd run build, and cd .. in order, then retry the install. Contributors who need an editable checkout should follow CONTRIBUTING.md and webui/README.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 the 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

For agents

This page has a .md twin and JSON over the API.

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