snarktank

snarktank / antfarm

Public

Build your agent team in OpenClaw with one command.

antfarm.cool
1,841
354
100% credibility
Found Feb 09, 2026 at 99 stars 19x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Antfarm sets up teams of specialized AI agents to autonomously handle software tasks like feature development, bug fixes, and security audits through predefined workflows.

How It Works

1
🔍 Hear about Antfarm

You learn about Antfarm, a simple way to get a team of smart AI helpers to handle software tasks like adding features or fixing bugs, all without needing to code.

2
🚀 Install with one click

You run a quick setup command, and Antfarm prepares everything in your AI workspace, ready to go in moments.

3
💡 Pick a plan and describe your task

You choose a ready plan for building a feature, fixing a bug, or checking security, then tell it what you want done in plain words.

4
👥 Watch the team at work

Your team of specialized helpers – planner, builder, checker, tester – takes turns automatically, each focusing on their strength to make steady progress.

5
📱 Check progress anytime

You peek at a simple dashboard or quick status update to see steps completing, retries if needed, and overall advancement.

🎉 Enjoy your ready result

You receive a complete, tested change as a pull request, saving you from hiring developers while everything works perfectly.

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Star Growth

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AI-Generated Review

What is antfarm?

Antfarm is a TypeScript CLI that installs specialized AI agent teams into OpenClaw with one command, turning vague tasks into tested GitHub PRs via reliable workflows. Drop a feature request, bug report, or security scan prompt, and get a planner, developer, verifier, tester, and reviewer handling it end-to-end—no infra setup, just SQLite state and cron polling. Users run `antfarm workflow run feature-dev "Add OAuth login"`, monitor via dashboard on localhost:3333, and resume failed runs seamlessly.

Why is it gaining traction?

It delivers deterministic agentic AI workflows where agents verify each other in fresh sessions, avoiding hallucinated state or silent failures—unlike chatty single agents that forget to test. The hook: bundled pipelines for feature dev, bug fixes, and security audits that output PRs automatically, with retry logic and escalation. Zero dependencies beyond OpenClaw and gh CLI make it a free way to build agents for GitHub Actions or apps without orchestrators.

Who should use this?

Solo devs or small teams on OpenClaw building agentic AI workflows for GitHub repos, especially those tired of manual task decomposition and verification. Ideal for prototyping features, triaging bugs, or running quick security audits on node projects—think indie hackers automating PRs or consultants building agent-first solutions with Power Platform and Copilot Studio.

Verdict

Try it if you're on OpenClaw and want hands-off dev agents; the 166 stars and solid README show promise, but 1.0% credibility signals early maturity—expect bugs in complex repos. Solid for experiments, pair with manual review until more battle-tested.

(198 words)

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