factory

Solid

Launch the Factory CEO agent to autonomously evolve any software project through systematic experimentation. Detects project state, spawns specialist agents, runs evals, and archives learnings.

AI & Automation 62 stars 26 forks Updated today MIT

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Skill Content

# Factory Skill v2 — CEO Launcher This skill spawns the **Factory CEO Agent** — a dedicated autonomous orchestrator that manages the full factory workflow. The CEO delegates all execution to 7 specialist agents: Researcher, Strategist, Builder, Reviewer, Evaluator, Archivist, and (recursively) itself. **Do not attempt to run the factory workflow yourself.** Delegate entirely to the CEO agent. ## Usage ```bash # Resolve the factory installation root FACTORY_HOME="$(factory home)" # Launch the CEO agent (default: improve mode) factory ceo "$(pwd)" # Or specify a mode factory ceo "$(pwd)" --mode discover # Auto-detect evals factory ceo "$(pwd)" --mode improve # Improvement loop (default) factory ceo "$(pwd)" --mode meta # Self-improvement only (ACE) ``` ## What the CEO Does 1. **Detects project state** — routes to Build, Discover, Review, or Improve mode 2. **Spawns specialist agents** — each gets fresh context with evolved playbooks auto-injected 3. **Manages experiments** — begin, evaluate, implement, guard, evaluate, keep/revert 4. **Mandatory archival** — Archivist fires at every checkpoint (research, strategy, experiment, final) 5. **Self-learning** — CEO decisions feed ACE playbook evolution for all 7 agent roles ## Alternative Invocations ```bash # Via factory run (same thing, supports heartbeat loop mode) factory run /path/to/project --loop --interval 1800 # Via factory agent (invoke any specialist directly) factory agent researcher --task "Research...

Details

Author
akashgit
Repository
akashgit/remote-factory
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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