Swarma provides a GROWS experiment loop for agent teams: generate hypotheses, run experiments, observe signals, weigh verdicts, and stack validated patterns into a playbook. It includes CLI commands, team templates, and tooling for logging metrics and running continuous cycles.
Use swarma when you want to run systematic A/B tests or growth experiments at scale with agent teams (acquisition, activation, retention, revenue). Best when you need repeatable experiment cycles and automated verdicting.
swarma init, swarma cycle, swarma run) and server modes for REST/MCP integrationTerminal-capable agents, Claude Code, Hermes, and environments that can run Python CLI tools.
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