MathCode MathCode
MathCode is a terminal AI coding assistant with a built-in math formalization engine. It converts natural language math problems into Lean 4 theorems and attempts formal proofs, targeting researchers and developers in formal mathematics.
MathCode v0.2.0 released on May 26, 2026, introduced prefix cache reshaping to cut API costs by 90%, token budget controls, dynamic thinking depth adjustment, and support for external compiler Kimina Lean Server. Earlier, v0.0.3 (April 2026) added TypeScript-native AUTOLEAN, new features like REPL, LSP, agent-prove, tree-prove, theorem-store, and axiom-lib.
As of
- Converts natural language math problems into Lean 4 theorems
- Persistent Lean REPL for sub-second compile checks
- Agent-mode proving with iterative proof repair
- Multi-planner parallel proof strategy exploration
- Obsidian knowledge graph for theorem dependencies
- Prefix cache reshaping to cut API costs by up to 90%
- Support for multiple AI backends (OpenAI, Anthropic, AWS Bedrock, Google Vertex, Azure Foundry)
Researchers, math students, and formal methods practitioners who need to formalize mathematical concepts and verify proofs in Lean 4.
General-purpose software developers looking for a versatile coding assistant, as MathCode is narrowly focused on mathematical theorem proving and requires specific Lean toolchain setup.
MathCode is an open-source project available on GitHub. The repository does not explicitly state a license, but the source code is freely accessible. Users need to provide their own API keys for the underlying AI models (e.g., OpenAI, Anthropic) and may incur API costs.
MathCode is a powerful specialized tool for formal mathematics, offering innovative features like cost-cutting prefix caching and Lean integration. However, its narrow focus and reliance on specific toolchains make it unsuitable for general coding tasks.
Is MathCode free?
Yes - MathCode is Open Source. MathCode is an open-source project available on GitHub. The repository does not explicitly state a license, but the source code is freely accessible. Users need to provide their own API keys for the underlying AI models (e.g., OpenAI, Anthropic) and may incur API costs.
What is MathCode best for?
Researchers, math students, and formal methods practitioners who need to formalize mathematical concepts and verify proofs in Lean 4.
Who makes MathCode?
MathCode is developed by Math-AI. It is listed in the Terminal & CLI Agents category on ai.dosa.dev.
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