Developer creates open-source proxy tool to prevent AI agents from degrading in quality and justify expensive subscription costs

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