A Machine-to-Machine Interaction System for Lean 4.
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Updated
Aug 30, 2026 - Python
A Machine-to-Machine Interaction System for Lean 4.
A universal, atomic library of mathematics and tools for agents to compose them.
GCLC is a mathematical software tool for producing high-quality mathematical illustrations, for teaching mathematics, and for automated proving of geometry theorems.
A Minimal Agent for Automated Theorem Proving
Code & data for ICLR 2024 spotlight paper: 🍯MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data
A multi-agent AI framework formalizing the Yang-Mills Mass Gap finite-lattice theory in Lean 4 without axioms or sorry.
OpenATP is an open-source Python package providing a common interface for Automated Theorem Proving (ATP)
Prover Agent: An Agent-Based Framework for Formal Mathematical Proofs
MathTensor Lean 4 formalizations of Putnam 2025 problems, with machine-verified Mathlib proofs.
A Lean 4 library of machine-generated, kernel-verified mathematics.
A prototype framework for automated theory construction in Lean 4.
Brute force math problem solving
🪶 Neural premise selection for Agda.
mai: MAth Interpreter with Standard Foundations
Official implementation of "FLARE: Verifying MILP Reformulations with LLM-Based Theorem Proving"
StarExec-ARC is a framework for containerizing Automated Theorem Proving (ATP) systems. It simplifies the deployment and scaling of ATPs using Podman and Kubernetes, enabling researchers to easily benchmark solvers in a modern, containerized StarExec environment.
HOL-Light Library for Modal Systems
Mathematics Distillation Challenge, Equational Theories. Stage 1 cheatsheet and Stage 2 Lean 4 certificate solver for the SAIR Foundation competition.
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