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 guideAn open-source workbench
for mathematicians and agents
to collaborate.
Glitnir defines a new notebook format for Lean to help mathematicians work better with agents. It comes with an open-source workbench and a harness for swarms of coding agents.
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.
A notebook extension for Lean
Glitnir’s notebook format lets agents present a clear mathematical narrative alongside Lean definitions and proofs, with embedded visualizations, simulation results and other artifacts.
The extra notebook syntax lives inside Lean comments. Lean compiles and checks the file as usual, while Glitnir renders the narrative, code and embedded content as a notebook from the same .lean file.
/-! # A first notebook
Explain the idea, then give its proof.
-/
theorem hello : True := by
trivialMarkdown comments and Lean code in one file.
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 skillView 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 pluginInspect 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 checkingAgent swarms
and distributed compute.
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
Submit Lean verification and simulation jobs to distributed compute yourself or through an agent. Agents can 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 CodeSetup needs uv and Python; checking needs compatible Lean.
See installation requirements