LoopGain – Stop agent loops with control theory, not max_iterations
An open-source cost controller for AI agent loops — stops a loop when it's actually converged and rolls back before it degrades, instead of running to a fixed max_iterations cap. Real-time loop-gain (Aβ) bands + best-so-far rollback. Adapters for LangGraph, CrewAI, AutoGen, LangChain, OpenAI Agents,
LoopGain – Stop agent loops with control theory, not max_iterations launched on July 15, 2026 with 31 votes, #705 of 24,623 launches that month and more than 95% of that year's launches.
In plain words
LoopGain is a tool for controlling AI agent loops using control theory principles instead of simple iteration limits. It's designed for developers building AI agents who need to prevent infinite loops and runaway behavior. The software applies feedback control mechanisms to manage agent behavior more intelligently than traditional max_iterations approaches, offering a more sophisticated method for maintaining agent stability and efficiency.
written from the facts on this page · September 2026
From the sources
An open-source cost controller for AI agent loops — stops a loop when it's actually converged and rolls back before it degrades, instead of running to a fixed max_iterations cap. Real-time loop-gain (Aβ) bands + best-so-far rollback. Adapters for LangGraph, CrewAI, AutoGen, LangChain, OpenAI Agents, and Claude Agent SDK; raw API for custom stacks. - loopgain-ai/loopgain
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