Collaborate with agent swarms
on Lean proofs.

Glitnir is an open-source workbench for mathematicians working with coding agents. Read and edit Lean notebooks in VS Code, coordinate agent swarms with Taskvalet and save their findings in shared memory.

Lean sourceGlitnir notebookYour coding agent
VS Code with Lean source on the left, the rendered Glitnir notebook in the middle, and a coding agent on the right
Lean source, the rendered notebook and a coding agent in VS Code. Review the agent’s changes and inspect the proofs.

Review and develop
proofs together.

Work with your coding agent on the same Lean file. Read its explanations, inspect its changes and check its claims from the rendered notebook.

Lean code with explanations

The Glitnir notebook specification adds Markdown prose and mathematical notation inside Lean comments. Definitions and proofs remain ordinary Lean, in the same file.

Read the notebook format
Hello.lean Minimal notebook example
/-! # A first notebook

Explain the idea, then give its proof.
-/

theorem hello : True := by
  trivial
Markdown comments and Lean code in one file.

Read notebooks and check proofs

Open a notebook beside its source. Follow live updates from your agents, jump between prose and code, explore proof steps and check saved claims independently with Lean.

Read the extension guide

Give your agent the notebook format

Install the notebook authoring skill for Codex, Claude Code or another coding agent. The skill describes the notebook format, how to explain proofs and how to check claims.

Read the agent skill

View models and simulation results

Display graphical views, simulation outputs and other artifacts in a notebook. The optional Forseti plugin provides visualizations and simulations for supported Lean models.

Read about the Forseti plugin

Inspect claim status and assumptions

See which claims have been checked, which proofs are unfinished and which assumptions they use. Simulation results provide evidence for conjectures; Lean checks whether the proofs establish their claims.

Read about claim checking

Agent swarms
and distributed compute.

Use Taskvalet to coordinate coding agents on one mathematical problem. Keep their findings in shared memory and write their arguments as Glitnir notebooks.

Agent swarms with shared memory

Assign different approaches to agents, share notes and save findings as they work. Agents can read each other’s results and contribute to the same mathematical problem.

Compute for proofs and simulations

We are developing distributed compute for Lean verification and simulation jobs submitted by people or agents. Agents will be able to continue working on proofs while those jobs run.

Public signup for hosted swarms and compute is not open.Glitnir on GitHub

Install Glitnir

Install the extension, open a Lean notebook and set up your coding agent with the authoring skill.

Install Glitnir for VS Code

Setup needs uv and Python; checking needs compatible Lean.
See installation requirements