Show HN: I applied Lyapunov stability theory to detect when LLM agents spiral

Category: library

Tags: llm-agents, stability-monitoring, agent-diagnostics

Score: 7.3/10 (Innovation: 7, Technical: 7, Documentation: 8, Utility: 7)

A Python library that applies Lyapunov stability theory to detect and classify runaway behavior in LLM agents, such as context spirals and retry storms, before they become expensive. It provides detailed failure diagnostics and fix suggestions without any additional LLM calls, filling a clear gap for production agent monitoring.

Target audience: backend devs, devops, data engineers

Repository: https://github.com/vishal-dehurdle/state-harness · Python · NOASSERTION · 7 stars

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