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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Build your agent team in OpenClaw with one command.
| Date | Stars |
|---|---|
| 2026-07-31 | 2492 |
| 2026-08-02 | 2495 |
| 2026-08-06 | 2495 |
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# Antfarm <img src="https://raw.githubusercontent.com/snarktank/antfarm/main/landing/logo.jpeg" alt="Antfarm" width="80"> **Build your agent team in [OpenClaw](https://docs.openclaw.ai) with one command.** You don't need to hire a dev team. You need to define one. Antfarm gives you a team of specialized AI agents — planner, developer, verifier, tester, reviewer — that work together in reliable, repeatable workflows. One install. Zero infrastructure. ### Install ```bash curl -fsSL https://raw.githubusercontent.com/snarktank/antfarm/v0.5.1/scripts/install.sh | bash ``` Or just tell your OpenClaw agent: **"install github.com/snarktank/antfarm"** That's it. Run `antfarm workflow list` to see available workflows. > **Not on npm.** Antfarm is installed from GitHub, not the npm registry. There is an unrelated `antfarm` package on npm — that's not this. > **Requires Node.js >= 22.** If `antfarm` fails with a `node:sqlite` error, make sure you're running real Node.js 22+, not Bun's node wrapper (see [#54](https://github.com/snarktank/antfarm/issues/54)). --- ## What You Get: Agent Team Workflows ### feature-dev `7 agents` Drop in a feature request. Get back a tested PR. The planner decomposes your task into stories. Each story gets implemented, verified, and tested in isolation. Failures retry automatically. Nothing ships without a code review. ``` plan → setup → implement → verify → test → PR → review ``` ### security-audit `7 agents` Point it at a repo. Get back a security fix PR with regression tests. Scans for vulnerabilities, ranks by severity, patches each one, re-audits after all fixes are applied. ``` scan → prioritize → setup → fix → verify → test → PR ``` ### bug-fix `6 agents` Paste a bug report. Get back a fix with a regression test. Triager reproduces it, investigator finds root cause, fixer patches, verifier confirms. Zero babysitting. ``` triage → investigate → setup → fix → verify → PR ``` --- ## Why It Works - **Deterministic workflows** — Same workflow, same steps, same order. Not "hopefully the agent remembers to test." - **Agents verify each other** — The developer doesn't mark their own homework. A separate verifier checks every story against acceptance criteria. - **Fresh context, every step** — Each agent gets a clean session. No context window bloat. No hallucinated state from 50 messages ago. - **Retry and escalate** — Failed steps retry automatically. If retries exhaust, it escalates to you. Nothing fails silently. --- ## How It Works 1. **Define** — Agents and steps in YAML. Each agent gets a persona, workspace, and strict acceptance criteria. No ambiguity about who does what. 2. **Install** — One command provisions everything: agent workspaces, cron polling, subagent permissions. No Docker, no queues, no external services. 3. **Run** — Agents poll for work independently. Claim a step, do the work, pass context to the next agent. SQLite tracks state. Cron keeps it moving. ### Minimal by design YAML + SQLite + cron. That's it. No Redis, no Kafka, no container orchestrator. Antfarm is a TypeScript CLI with zero external dependencies. It runs wherever OpenClaw runs. ### Built on the Ralph loop <img src="https://raw.githubusercontent.com/snarktank/ralph/main/ralph.webp" alt="Ralph" width="100"> Each agent runs in a fresh session with clean context. Memory persists through git history and progress files — the same autonomous loop pattern from [Ralph](https://github.com/snarktank/ralph), scaled to multi-agent workflows. --- ## Quick Example ```bash $ antfarm workflow install feature-dev ✓ Installed workflow: feature-dev $ antfarm workflow run feature-dev "Add user authentication with OAuth" Run: a1fdf573 Workflow: feature-dev Status: running $ antfarm workflow status "OAuth" Run: a1fdf573 Workflow: feature-dev Steps: [done ] plan (planner) [done ] setup (setup) [running] implement (developer) Stories: 3/7 done [pending] verify (verifier) [pending] test (tester) [
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:bcf469840e7f532f, llm:Repository description: "Build your agent team in OpenClaw with one command." Language: TypeScript. Suggests tooling for agents/agent teams in OpenClaw (an agent framework).