
Rlhf Feedback Loop
Captures thumbs up/down signals from AI agent interactions and turns them into permanent prevention rules that block repeated mistakes before they cost tokens. Built around the PreToolUse hook pattern, it intercepts risky tool calls like force pushes or destructive commands before they execute. The MCP interface exposes feedback capture, lesson promotion, and DPO export for fine-tuning workflows. Works with Claude Code, Cursor, Codex, and other MCP-compatible agents. Reach for this when you're tired of paying frontier model rates to fix the same hallucinated function call or dangerous command three sessions in a row. The underlying product is ThumbGate, which also ships a generated BRAIN.md artifact that consolidates approved lessons, guardrails, and gates into a single agent-readable context file.
- transport
- STDIO
- last updated
- Mar 11, 2026
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ThumbGate 👍 👎
ThumbGate Infrastructure Firewall with Thumbs Up and Thumbs Down
ThumbGate is the self-improving pre-action firewall for AI coding agents
AI coding agents repeat mistakes — and one wrong tool call can wipe a directory, leak a key, or push broken code.
Details
- Repository
- github.com/igorganapolsky/mcp-memory-gateway
- Category
- AI & LLM Tools
- Package
rlhf-feedback-loop- Transport
- STDIO
- Registry
- MCP registry, active