longtho638-jpg

longtho638-jpg / openclaw-worker

Public

🦞 Autonomous AI Swarm Engine — Drop a file, watch 3 AI agents execute in parallel. Built on Claude Code CLI + tmux.

36
9
80% credibility
Found Feb 17, 2026 at 29 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
JavaScript
AI Summary

An automation tool that runs a team of AI coding agents in parallel terminal windows, processing development tasks from dropped text files.

How It Works

1
🔍 Discover OpenClaw Worker

You find this handy tool that lets AI helpers tackle your coding chores automatically, just by dropping simple notes.

2
📥 Get it ready

Download the tool to your computer and prepare it quickly so everything is set up.

3
🚀 Launch your AI team

With one easy action, start your team of three smart AI workers plus a log viewer – they appear in split windows ready to go!

4
📝 Write your task

Jot down what you need done, like 'make the login smoother' or 'add dark mode', and save it as a plain note in the special folder.

5
📂 Drop and watch magic

Place your note in the folder and see the AI workers grab it one by one, working together in real-time – no waiting or babysitting!

6
👀 Follow the action

Keep an eye on the live updates in the windows as your AI team plans, codes, and finishes the job safely.

✅ Task complete!

Your coding job is done perfectly, saved away neatly, and your project is better – all hands-free.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 29 to 36 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is openclaw-worker?

This JavaScript tool builds an autonomous AI swarm engine on Claude Code CLI and tmux, letting you drop a text file with a coding task into a watch folder and watch three parallel agents execute it without intervention. Tasks like "refactor auth to JWT" get dispatched round-robin, monitored for timeouts, and archived on completion, with self-healing for crashes and M1 thermal throttling. It delivers hands-off autonomous coding agents for repetitive dev work.

Why is it gaining traction?

Unlike solo AI tools, it runs true parallel swarms—three agents churning missions simultaneously—for faster throughput on complex refactors or audits. The one-command launch script sets up tmux panes instantly, with modes for headless servers or VS Code terminals, plus proxy failover and auto-recovery. Devs dig the "drop a file, forget it" hook for autonomous swarm intelligence in coding workflows.

Who should use this?

Solo devs or indie hackers automating security scans, tech debt fixes, or boilerplate in Node monorepos. Backend teams testing github autonomous coding agents for parallel task queues. Mac users building autonomous systems github prototypes without babysitting prompts.

Verdict

Worth forking for agent experiments (28 stars shows early stage), with a 0.800000011920929% credibility score backed by crisp README and quickstart. Maturity lags in tests, but production-ready for side projects—scale your own autonomous swarms.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.