Rlhf Feedback Loop

Rlhf Feedback Loop

Prevent and govern repeated AI agent mistakes before they run.

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About Rlhf Feedback Loop

Rlhf Feedback Loop (ThumbGate) is an MCP server that adds an enforcement and feedback loop layer for AI coding agents, preventing repeated and costly mistakes. It enables users and teams to capture AI agent errors through thumbs-up/down feedback, automatically transforming lessons into enforceable pre-action gates that block the same problematic actions before they recur. The platform supports multi-agent distribution, meaning a correction made with one agent (e.g., Claude Code, Cursor, Codex, Gemini) automatically safeguards all MCP-compatible agents. Ideal for developers and software teams looking for robust agent governance, continuous improvement, and production-grade reliability in AI agent workflows.

Pricing Plans
Free
$0
Pro
$19/mo
Team
$49/seat/mo

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