经 AI Skill Hub 精选评估,纳米机器人AI助手 获评「强烈推荐」。在 GitHub 上收获超过 42.3k 颗 Star,这款AI工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.2 分,适合有一定技术背景的用户使用。
超轻量级开源个人AI智能体框架,支持多大模型集成(Claude、ChatGPT等),提供工作流编排和自动化能力。适合开发者、产品经理快速构建AI助手原型和自动化任务。
纳米机器人AI助手 是一款基于 Python 开发的开源工具,专注于 AI智能体、工作流自动化、多模型集成 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
超轻量级开源个人AI智能体框架,支持多大模型集成(Claude、ChatGPT等),提供工作流编排和自动化能力。适合开发者、产品经理快速构建AI助手原型和自动化任务。
纳米机器人AI助手 是一款基于 Python 开发的开源工具,专注于 AI智能体、工作流自动化、多模型集成 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
# 方式一:pip 安装(推荐)
pip install nanobot
# 方式二:虚拟环境安装(推荐生产环境)
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install nanobot
# 方式三:从源码安装(获取最新功能)
git clone https://github.com/HKUDS/nanobot
cd nanobot
pip install -e .
# 验证安装
python -c "import nanobot; print('安装成功')"
# 命令行使用
nanobot --help
# 基本用法
nanobot input_file -o output_file
# Python 代码中调用
import nanobot
# 示例
result = nanobot.process("input")
print(result)
# nanobot 配置文件示例(config.yml) app: name: "nanobot" debug: false log_level: "INFO" # 运行时指定配置文件 nanobot --config config.yml # 或通过环境变量配置 export NANOBOT_API_KEY="your-key" export NANOBOT_OUTPUT_DIR="./output"
<picture> <source media="(prefers-color-scheme: dark)" srcset="./images/readme-cover-dark.svg"> <img alt="nanobot README cover" src="./images/readme-cover-light.svg"> </picture>
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[!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 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.
Render — one click
Deploy nanobot's gateway and bundled WebUI from the repository's ready-to-use Blueprint:
Render will ask for ANTHROPIC_API_KEY and a private NANOBOT_WEB_TOKEN, then provision persistent storage for sessions, memory, and WebUI history. Persistent disks require a paid Render service.
Self-host
Prefer your own infrastructure? Follow the deployment guide for Docker, Docker Compose, Linux services, and macOS LaunchAgent setup.
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
Hello! to verify the connection.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 gateway
This skips WebUI setup and browser opening, then runs the same complete gateway in the current terminal. It is the familiar entry point if you are coming from OpenClaw or already operate agents as long-lived services. The WebUI remains available when its channel is configured; open it manually when needed.
Use nanobot gateway --background for the same direct entry point without keeping the terminal attached. For automatic startup and supervision by the operating system, see Deployment.
Prefer to work entirely in the terminal?
nanobot
This opens the native terminal client with the launch directory as its workspace. It shares saved conversations and the local gateway with the WebUI. The explicit nanobot agent form remains available for compatibility.
/ to discover commands, /sessions to switch conversations, or @ to mention an app, MCP server, or saved session.Ctrl+V or Alt+V, and use $ to complete skill references./diff to inspect file changes, /context to inspect session context, or /branch to continue from a completed reply in a new session.Enter to send. While nanobot is working, Enter sends now and Tab sends after the current response. Press Shift+Enter to add a newline (Ctrl+J works in terminals that cannot distinguish modified Enter keys)./detach to leave the current task running, or start with nanobot gateway --background when nanobot should stay online after all local clients exit.Each launch starts a new session by default. Use --session to resume one and --workspace to choose another workspace. See the CLI reference for session branching, diffs, history, shortcuts, gateway lifecycle, and compatibility options.
For one request and an immediate exit, use:
nanobot -m "Hello!"
The one-shot form is useful for a quick provider check, shell scripts, and local automation. If you have not configured a model yet, run nanobot webui and open Settings → Models first.
Need manual JSON, another device on your LAN, or help with provider/model matching? Continue with Install and Quick Start, WebUI, or Troubleshooting.
If nanobot worked for you, a star on GitHub is the simplest way to support the project.
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设计精简高效,42k星标证明社区认可。Python实现易集成,多模型支持灵活性强,是构建个人AI工具的优选方案。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
AI Skill Hub 点评:纳米机器人AI助手 的核心功能完整,质量优秀。对于AI爱好者来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | nanobot |
| 原始描述 | 开源AI工作流:"🐈 nanobot: The Ultra-Lightweight Personal AI Agent"。⭐42.3k · Python |
| Topics | AI智能体工作流自动化多模型集成轻量级框架 |
| GitHub | https://github.com/HKUDS/nanobot |
| License | MIT |
| 语言 | Python |
收录时间:2026-05-13 · 更新时间:2026-05-16 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。