Antfarm is a command-line tool that builds multi-agent AI teams in OpenClaw with a single install command.
The tool solves the problem of coordinating specialized AI agents to handle complex software development tasks reliably. Rather than hoping a single agent remembers context across many turns, Antfarm orchestrates a team of agents—planner, developer, verifier, tester, reviewer—each with a defined role and acceptance criteria. Each agent works in a fresh session with clean context, reducing hallucination and context window bloat. Workflows are deterministic: the same input follows the same steps in the same order. Failed steps retry automatically before escalating to a human. State is tracked in SQLite, and agents poll for work independently via cron. The tool ships with three pre-built workflows: feature-dev decomposes feature requests into stories, implements and tests each in isolation, and produces a reviewed PR; security-audit scans a repository for vulnerabilities, ranks them by severity, patches each one, and re-audits; bug-fix takes a bug report through triage, root-cause investigation, patching, and verification.
Antfarm suits teams using OpenClaw who want deterministic, multi-step agent workflows without managing infrastructure. It requires Node.js 22 or later and installs from GitHub rather than npm. The tool is minimal by design—YAML configuration, SQLite state, and cron scheduling with no Redis, Kafka, or container orchestration. You define your own workflows in YAML and Markdown if the bundled ones do not fit your needs.
The project has attracted a substantial base of real-world adopters, as evidenced by most open issues coming from outside users rather than the core team. Maintainers respond to new issues and pull requests within a day.
