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Show HN: LoopGain – Stop agent loops with control theory, not max_iterations

Quality: 8/10 Relevance: 9/10

Summary

LoopGain is an open-source library that applies control-theory to AI agent loops to stop when converged rather than using a fixed max_iterations. It provides a Python API, pre-built adapters for major frameworks, and a public benchmark showing strong savings and speedups. The project emphasizes a verifier-driven error signal and best-so-far rollback, with notes on limitations and telemetry options.

🚀 Service construit par Johan Denoyer