Rlhf Feedback Loop

Rlhf Feedback Loop

Pre-action firewall and self-improving feedback loop for AI coding agents.

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About Rlhf Feedback Loop

Rlhf Feedback Loop — via ThumbGate — is a local-first pre-action firewall and feedback engine for AI coding agents. It intercepts tool calls at the PreToolUse stage, allowing operators to evaluate and block potentially dangerous or faulty actions before execution (such as deleting directories, leaking secrets, or pushing broken code). Accepted feedback is stored as local lessons, enabling the firewall to self-improve and promote warnings to hard blocks over time, without retraining the model. It is designed for operators managing autonomous coding agents (such as Claude Code, Codex, Gemini, Cursor, and MCP agents), prioritizing agent safety, actionable governance, and operational reliability.

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

Resources

Product Website

Visit Rlhf Feedback Loop's official website for product details and getting started.

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Documentation

Comprehensive usage guides and API reference for Rlhf Feedback Loop.

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Community

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Issues

Community discussions and troubleshooting for common problems encountered while using the Rlhf Feedback Loop.

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Contributing

Guidelines for contributing to the Rlhf Feedback Loop project.

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