Feedback Loop Python Packages

loopgain

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.

mockloop-mcp

Intelligent Model Context Protocol (MCP) server for AI-assisted API development. Generate mock servers from OpenAPI specs with advanced logging, performance analytics, and server discovery. Optimized for AI development workflows with comprehensive testing insights and automated analysis.

iflow-mcp-mockloop-mockloop-mcp

MCP server to generate and run mock APIs from specifications.

mseep-mockloop-mcp

Intelligent Model Context Protocol (MCP) server for AI-assisted API development. Generate mock servers from OpenAPI specs with advanced logging, performance analytics, and server discovery. Optimized for AI development workflows with comprehensive testing insights and automated analysis.

self-improving-loop

A safety-first self-improvement loop for AI agents: execute → track → analyze → auto-apply → auto-rollback on regression.

neveronce

Persistent, correctable memory for AI. Corrections prevent repeat mistakes. Zero dependencies. Works with any LLM. pip install neveronce

recal

Persistent, correctable memory for AI. The memory layer that learns from mistakes.