A Machine-to-Machine Interaction System for Lean 4.
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Updated
Jun 4, 2026 - Python
A Machine-to-Machine Interaction System for Lean 4.
GCLC is a mathematical software tool for producing high-quality mathematical illustrations, for teaching mathematics, and for automated proving of geometry theorems.
Code & data for ICLR 2024 spotlight paper: 🍯MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data
A Minimal Agent for Automated Theorem Proving
Prover Agent: An Agent-Based Framework for Formal Mathematical Proofs
MathTensor Lean 4 formalizations of Putnam 2025 problems, with machine-verified Mathlib proofs.
A prototype framework for automated theory construction in Lean 4.
Brute force math problem solving
🪶 Neural premise selection for Agda.
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.
mai: MAth Interpreter with Standard Foundations
HOL-Light Library for Modal Systems
A reasoner for Input/Output logic
LLMs + Lean, on your laptop or in the cloud
Example axiom and problem files within the TPTP Format
Elaboración de demostraciones con Lean.
HOL Light Library for Modal Systems
A simple repackaging of the Vampire automated theorem prover
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