AIエージェント
nanobot
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat…
★ 48.8k スターMIT
ガイドを見る →nanoclawは、nanocoaiが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: nanocoai/nanoclaw）。GitHubスターは30,899、フォークは12,768で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年10月6日です。
A lightweight, container-isolated personal AI agent for WhatsApp, Telegram, Slack and more
Decide what you want to achieve with nanoclaw and check the README on GitHub for requirements before installing.
Clone the repository from GitHub (or take the packaged install route in step 3 if the README offers one).
Follow the project's documented install commands — the Run section below lists the exact ones — and add any required API keys or models.
Work through the README's quickstart example end to end, then adapt it to your own project or data.
Talk to your agent from WhatsApp, Telegram, Slack, Discord, iMessage or a local CLI — one agent, many channels.
Agents run in containers, limiting what an agent session can touch on your machine.
Persistent memory plus scheduled tasks let the agent remember context and act proactively.
nanoclaw.sh walks a fresh machine to a named, paired agent — installing dependencies and building the container for you.
If a setup step fails, Claude Code is invoked automatically to diagnose and resume, per the README.
Extend the agent with skills and per-agent configuration rather than forking the core.
Clone NanoClaw (the README clones it as nanoclaw-v2).
git clone https://github.com/nanocoai/nanoclaw.git
cd nanoclawThe script installs Node, pnpm and Docker if missing, registers your Anthropic credential and builds the agent container.
bash nanoclaw.shFollow the script's prompts to pair Slack, Telegram, Discord, WhatsApp, iMessage or the local CLI, then message your agent.
# pair a channel when nanoclaw.sh prompts you, then send your agent a messagenanoclaw is maintained by the nanocoai organization/account on GitHub, together with open-source contributors, in the public repository nanocoai/nanoclaw.
Yes — the code is open source under the MIT license. You can use, modify and redistribute it under that license's terms.
Yes — NanoClaw runs on Anthropic's Agents SDK, so you need an Anthropic account/credential; usage is billed by Anthropic, while NanoClaw itself is free and MIT-licensed.
OpenClaw is the heavier original; NanoClaw covers a similar personal-agent job with a much smaller codebase and container isolation as the default posture.
Clone the repository from GitHub, follow the install commands in the Run section (taken from the project's README), and complete the documented quickstart example before adapting it to your own use case.
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat…
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