nanocoai/nanoclaw
- Source
- GitHub
- First trending
- Category
- Agents
- GitHub stars
- 30,789
- Main language
- TypeScript
This page introduces an external open-source repository. It is not an HDATF product.

What it does
NanoClaw is a lightweight alternative to OpenClaw that runs each agent in its own Linux container on Anthropic's Agents SDK. It connects to Slack, Telegram, Discord, WhatsApp, Gmail and other apps, with memory and scheduled jobs.
How it helps ATF
Isolating each agent at the operating system level instead of only through permission checks is worth comparing with how Harness runs a task and how the ATF Works assistant stays within each person's permissions.
License
MIT Permissive. Commercial use and changes are allowed if the copyright notice is kept.
More in this category
- HKUDS/nanobot
nanobot is a self-hosted personal AI agent framework in Python that runs in a WebUI, a terminal or chat apps. It combines tools, long-term memory, MCP, subagents, scheduled automations and an OpenAI-compatible API. - cloudflare/moltworker
An experimental proof of concept that runs the OpenClaw personal AI assistant in a Cloudflare Sandbox container, using Cloudflare Access for authentication, Browser Rendering for browsing, and optional R2 storage for persistence. - rowboatlabs/rowboat
An open-source AI coworker where each teammate runs their own agent on their own machine, with memory of email, meetings, notes and code. Shared Spaces hold messages, a markdown wiki, files and whiteboards where these agents post results. - m1heng/clawdbot-feishu
A plugin that adds Feishu (Lark) as a channel for OpenClaw. The project also keeps a Chinese community wiki with setup guides, common questions and usage tips. - danielmiessler/LifeOS
LifeOS is a general purpose AI harness that captures a person's values and goals and uses that context to help with life and work tasks. It centers on moving from a current state to an ideal state.
Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.