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lean-dojo/LeanCopilot

LLMs as Copilots for Theorem Proving in Lean

★1.3KSTARS
⑂128FORKS
!0ISSUES
🏆#3,528GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+33

STARS · LAST 30 DAYS

1

PER DAY

#258

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+7+33+90
Per day111
Forks gained+1+3+10

LeanCopilot gained 33 stars in the last 30 days, about 1 a day, and now has 1.3K. It is about 3 years old and has averaged roughly 442 stars a year. It ranks #258 among C++ repositories and #3,528 across all languages on GitHubRepo.

Trending Record

LeanCopilot has maintained a continuous presence across global trending indexes, peaking at #4191. Below is the 30-day activity profile:

💡 Overview

LeanCopilot is an open-source project written in C++: LLMs as Copilots for Theorem Proving in Lean.

Engineered for speed, consistency, and developer ease, it solves common hurdles in formal-mathematics, lean, lean4. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in C++ for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/lean-dojo/LeanCopilot.git
cd LeanCopilot

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

LeanCopilot coordinates its core functionality through a modular C++ pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with LeanCopilot.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install LeanCopilot using your package manager: `git clone https://github.com/lean-dojo/LeanCopilot.git`

2

Initialize your project workspace or configuration file for LeanCopilot.

3

Import LeanCopilot into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `LeanCopilot --help` to verify successful setup.

👍 Strengths

Active community backing with 1,327 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in C++ for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with C++ and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

lean-dojo/LeanCopilot is currently ranked #3,528 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,523 DSharpPlus/DSharpPlus C# ★ 1.3K Compare ↗
#3,523 tg123/sshpiper Go ★ 1.3K Compare ↗
#3,525 golang/pkgsite Go ★ 1.3K Compare ↗
#3,525 clice-io/clice C++ ★ 1.3K Compare ↗
#3,525 rustsbi/rustsbi Rust ★ 1.3K Compare ↗
#3,528 lean-dojo/LeanCopilot This Project C++ ★ 1.3K
#3,528 spiculedata/saiku Java ★ 1.3K Compare ↗
#3,530 josejuanqm/docky Swift ★ 1.3K Compare ↗
#3,531 benjaminjonard/koillection PHP ★ 1.3K Compare ↗
#3,531 openworkflowdev/openworkflow TypeScript ★ 1.3K Compare ↗
#3,531 c0m4r/kula Go ★ 1.3K Compare ↗

Frequently Asked Questions

What does LeanCopilot do? +

LLMs as Copilots for Theorem Proving in Lean

What language is LeanCopilot written in? +

The primary language is C++. Topics include: formal-mathematics, lean, lean4, llm, llm-inference.

Is LeanCopilot actively maintained? +

Yes, the last recorded push was on Oct 1, 2026 with 0 open issues being tracked.

How many stars does LeanCopilot have? +

LeanCopilot has 1,327 stars and 128 forks on GitHub.

How does LeanCopilot rank among GitHub repositories? +

With 1,327 stars, lean-dojo/LeanCopilot is ranked #3,528 globally across all repositories tracked on GitHubRepo and #258 among C++ projects.

What license is LeanCopilot distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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