Feedback Loop Python Packages

loopgain

Barkhausen stability monitor for AI agent loops. Real-time loop-gain (Aβ) detection of convergence, stalling, oscillation, and divergence — with best-so-far rollback and ETA prediction. Pre-built adapters for LangGraph, CrewAI, AutoGen; drop-in via the raw API for Claude Agent SDK and custom agentic 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

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

Rollback-first reliability layer for AI agents: trace failures, apply guarded changes, and rollback on regression.

neveronce

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

recal

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

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.