math-ai-org / mathcode

What is mathcode?

Mathcode is a Python-based agent that automates formalizing natural language math problems into Lean 4 code, using AI models via OpenRouter or local codex exec. Feed it JSON files with github math equations or formulas, and it generates compilable statements (with `sorry` placeholders by default), repairs via compile feedback loops, and grades semantic fidelity on an A-D scale. It tackles the drudgery of manual theorem transcription for math github markdown or math code latex users, bundling a local Lean/Mathlib setup for instant runs.

Why is it gaining traction?

Its end-to-end pipeline—planning, coding, compiling, evaluating, and even proof completion—beats ad-hoc LLM prompts by enforcing repeatability, multipart chain handling, and strict anti-trivialization checks. Developers notice fast resume from logs, parallel workers, and scripts for batch checks or histograms of proof success rates, making mathcode mastery accessible without constant setup tweaks. Low-barrier CLI like `autolean run --input problems` hooks math coders experimenting with github math js or math mode formalizations.

Who should use this?

Lean/Mathlib power users formalizing textbooks or contest problems (math code class 10/12, igcse). Math coders bridging math code to text or words to proofs. Researchers building mathcode piles for training data, or educators generating verified exercises beyond basic math github games.

Verdict

Try it if you're in formal math—solid for prototyping github math formula agents, despite 54 stars and 1.0% credibility signaling early days with thin docs. Setup is polished, but expect tweaks for production; pair with your Lean workspace for real wins.

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