MAGMA v2 Beta Documentation
This documentation is a work in progress and covers the MAGMA v2 beta. APIs and examples may change. MAGMA model checkpoints have not been released yet; the agent guides currently require you to supply a compatible model.
We aim to release the benchmark paper, code, and model checkpoints in November, before CoRL. This is a tentative target, not a confirmed release date.
MAGMA is a framework for embodied AI agents working on interactive, long-horizon, multi-robot tasks. Use provided scenarios or build your own tasks and environments to generate training data with MAGMA-GEN.
Choose your starting point
| I want to… | Start here |
|---|---|
| Generate data for training | Generate data |
| Use my own model or agent | Use your model or agent |
| Create my own tasks and scenarios | Create scenarios and tasks |
New to MAGMA? Start with Generate data to run a provided task, inspect its trajectory, and export the result. If you already have a specific goal, follow the corresponding guide above.
The MAGMA-BENCH evaluation guide is being prepared.
Understand and look things up
- Concepts and architecture explains scenarios, tasks, stages, tools, environments, and services.
- Reference collects scenario authoring and agent integration contracts.