Autoresearch Fleet

Autonomous research loop inspired by 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