Image & Vision · GitHub ·192 ★

autoclaw

AutoClaw is a hyper-lightweight AI agent designed to live inside Docker containers. Unlike heavy, GUI-dependent agents, AutoClaw is built for headless, massive-scale concurrency.

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Details

Author
tsingliuwin
Category
Image & Vision
Platform
GitHub
Framework
custom
Language
typescript
Stars
192
First indexed
2026-05-15
Last active
2026-02-10
Directory sync
2026-05-15
@tsingliuwin

Overview

AutoClaw is a hyper-lightweight AI agent designed to live inside Docker containers. Unlike heavy, GUI-dependent agents, AutoClaw is built for headless, massive-scale concurrency.

Quick start

git

git clone https://github.com/tsingliuwin/autoclaw

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What autoclaw can do

design
  • Design — design task automation.

Frequently asked questions

What is autoclaw?
AutoClaw is a hyper-lightweight AI agent designed to live inside Docker containers. Unlike heavy, GUI-dependent agents, AutoClaw is built for headless, massive-scale concurrency.
How do I install autoclaw?
Use git: `git clone https://github.com/tsingliuwin/autoclaw`. Full setup details on the source page linked above.
Is autoclaw open source?
autoclaw is published on GitHub.
What are alternatives to autoclaw?
Comparable agents include lobehub, stable-baselines3, ui. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for autoclaw is sourced from GitHub, published by tsingliuwin.

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