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
- Live budget check before each dispatch cycle
- Morning deadline — stops dispatching before your workday starts
- Max waves cap — bounded damage per cycle
- Circuit breaker — stops after consecutive failures
- 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
Project details
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