autoresearch-fleetlisted

# Autoresearch Fleet Autonomous research loop inspired by [karpathy/autoresearch](https://github.com/karpathy/autoresearch). One mutable file, one immutable eval harness, git as state machine, and a "NEVER STOP" directive. The agent modifies code, evaluates the result, keeps improvements, discards regressions, and repeats indefinitely. **Open-world extension**: when the agent plateaus (N consecutive discards), the orchestrator injects a web-search prompt, breaking through knowledge ceilings the LLM can't cross alone. ## When to use - Optimizing a single metric (latency, accuracy, loss, score) - The problem has a fast, deterministic eval harness - You want autonomous overnight runs (100+ experiments while you sleep) - The search space is too large for manual exploration ## How it works ``` ┌─────────────────────────────────────────────────┐ │ orchestrator.sh │ │ │ │ for each iteration: │ │ 1. Count trailing discards in results.tsv │ │ 2. If >= plateau_threshold → search prompt │ │ 3. Spawn agent (claude -p, codex exec, or pi -p) │ │ 4. Agent reads program.md, edits file, evals │ │ 5. Agent updates results.tsv, keeps/reverts │ │ 6. Check stop conditions (iter/cost/plateau) │ │ 7. Loop │ └─────────────────────────────────────────────────┘ ``` The agent handles everything: reading files, ed