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

Category: library

Tags: llm-agents, stability-monitoring, lyapunov-theory, token-tracking, python

Score: 7.5/10 (Innovation: 7, Technical: 8, Documentation: 8, Utility: 7)

State-harness applies Lyapunov stability theory from control theory to detect when LLM agents spiral out of control due to token growth, retry storms, or policy drift. It provides zero-cost failure diagnostics with actionable fix suggestions, validated across thousands of runs, and integrates with popular agent frameworks.

Target audience: backend devs, ai engineers, platform teams

Repository: https://github.com/vishal-dehurdle/state-harness · Python · NOASSERTION · 13 stars

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