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Feedback Loop Python Packages

Python packages with the GitHub topic feedback-loop. Sorted by monthly downloads, with stars and forks.
rhesis-ai
rhesis

The collaboration layer for AI teams: domain experts annotate and review agent behavior, engineers improve the agent from what they find.

4K 397 38
rhesis-ai
rhesis-sdk

The collaboration layer for AI teams: domain experts annotate and review agent behavior, engineers improve the agent from what they find.

3K 397 38
IvenKooLab
loci-rag

A queryable second brain over your scattered notes and docs - hybrid retrieval (vector + BM25), section-level citations, and an MCP server so AI agents can use it. ~300 lines, no LangChain.

3K 100 1
loopgain-ai
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.

1K 126 11
jeon-jihyeon
nodloop

Your nods and corrections on AI output, recorded and carried to the next run in the same place once a named person approves them.

939 0 0
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.

378 17 6
Unselfisheologism
feedwire

A /feedback endpoint for your API so AI agents can report bugs and missing features. Express + FastAPI middleware, review dashboard with analytics.

356 0 0
yangfei222666-9
self-improving-loop

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

333 0 0
mockloop
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.

263 17 6
mockloop
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.

212 17 6
pagepin
pagepin

Self-hosted static page hosting with pin-point review comments your AI agent can fetch as JSON — deploy, review, fix, redeploy

67 8 1
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology