Rigor is an anti-enshittification proxy designed for OpenAI Code and Claude Code instances to maintain agent quality over time
Uses an epistemic graph with LLM-as-judge evaluation to assess AI agent performance and prevent quality degradation
Addresses user frustration with expensive AI agent subscriptions (around $200) by providing performance accountability
Created during the GrowthX OpenCode hackathon and currently operating under an open-source model with a waitlist for early access
Team plans to release the open-source core once initial waitlist users are onboarded
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