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Self-regulating autonomous AI work orchestrator — dispatches LLM agent waves, manages budget headroom, runs cross-model quality review

Project description

Lucerna

Greek: ἡγεμών (hēgemṓn) — the organizing intelligence

Self-regulating autonomous AI work orchestrator. Dispatches LLM agent waves, manages budget headroom, and runs cross-model quality review.

What it does

Lucerna runs 24/7 as a daemon, checking for budget headroom every 30 minutes. When surplus exists, it dispatches autonomous AI work waves. When resources thin, it stops — ensuring interactive sessions always have priority.

Safety nets

  1. Live budget check before each dispatch cycle
  2. Morning deadline — stops dispatching before your workday starts
  3. Max waves cap — bounded damage per cycle
  4. Circuit breaker — stops after consecutive failures
  5. Cross-model quality review — independent models review each wave's output

Cross-model review

After each wave, Lucerna dispatches the manifest to multiple LLM CLI tools (Gemini CLI, Codex CLI) for independent quality review. Only cross-model disagreements surface to the human operator — you're the tiebreaker, not the reviewer.

Status

Alpha — currently tightly coupled to the author's personal AI stack. Generalisation in progress.

License

MIT

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