Overview

ReasLab is a one-stop intelligent mathematical reasoning engine for education, research, and complex decision-making scenarios. It breaks through the traditional manual approach in mathematical and applied research by building infrastructure that moves from expert intuition-driven to computable, verifiable, and AI-augmented workflows. Addressing the long-standing fragmentation between mathematical modeling, algorithm design, and theorem proving — all heavily dependent on manual experience — ReasLab uses large language models as its foundation, employs a multi-agent architecture, and integrates mathematical model libraries, algorithm libraries, and theorem knowledge bases. It unifies model construction, algorithm design, computational solving, natural language and formal proof, and Markdown/LaTeX report generation into a single environment, enabling mathematical objects to flow seamlessly across different representational levels and task stages. Backed by cloud computing, ReasLab requires no local installation and is available online immediately. It has already served nearly a thousand users in formal verification, optimization modeling, mathematical contest preparation, and scientific writing. It provides formal teaching and research workspaces for dozens of universities including Peking University and the National University of Singapore, and is actively supporting real business needs from companies like Huawei and GoerTech. Its M2F agent has formalized Terence Tao's Analysis II, Rockafellar's Convex Analysis, and other books, generating over 3,000,000 lines of Lean code — providing sustainable, evolving infrastructure for mathematical research and complex decision-making.

Before you begin

• Create an account: You can sign up by email or with GitHub in about a minute. See the Sign Up & Sign In guide.
• Create or import a project: Start from scratch, import an existing repository from GitHub, or join a project via a share link.
• Browser requirements: For the best experience, use the latest version of Chrome, Edge, or Safari.

Core use cases

• Mathematical research: Develop formally verified mathematics and publish machine-checkable proofs that are verifiable by anyone.
• Education: Teach theorem proving, type theory, and tactic-based reasoning in collaborative labs where instructors and students share a live workspace.
• Verification: Specify and verify algorithms or software components using formal methods, reducing bugs in safety-critical code.

Feature quick reference

Feature	Details
Workspace layout & interface	Workspace guide
Lean 4 editing & Infoview	Lean Tooling guide
Real-time collaboration	Collaboration guide
AI agent configuration	AI Provider Config guide
LaTeX editing & PDF export	LaTeX guide
Markdown with live preview	Markdown guide
Git version control	Git Integration guide