Understand the project
Practical overview
When it fits
Use it when an agent project is specifically centered on Minecraft and needs connected tools for training, inference and evaluation.
Who it is for
- Minecraft AI researchers
- Developers building autonomous Minecraft agents
- Teams experimenting with reinforcement learning, imitation learning or trajectory data
Documented uses
- Train agents from offline trajectory data
- Develop custom Minecraft policy models
- Run online reinforcement-learning experiments
- Perform distributed inference with Ray
- Batch-test agents on diverse Minecraft tasks
Before you choose
Requirements & limits
Minestudio is a public, open-source Python project under the MIT license. It is documented for self-hosted Linux-oriented use and is available through PyPI or installation from the Git repository.
- Minecraft focus: the simulator and documented workflows are built around Minecraft and MineRL.
- Environment requirements: setup calls for Python 3.10 or later and JDK 8.
- Rendering: simulator use may require VirtualGL or Xvfb.
- Training coverage: the framework includes both offline pre-training and online reinforcement learning.
- Inference scale: the documented inference component uses Ray for parallelized and distributed workflows.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Evidence and transparency
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 30 September 2026
- Original website title
- CraftJarvis/MineStudio · Official homepage title · retained in its source language