MineDojo/NitroGen

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2168 stars · 239 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

NitroGen is an open foundation model for generalist gaming agents that takes pixel input from games and predicts gamepad actions, trained via behavior cloning on internet gameplay videos. The repository provides inference serving and agent-running scripts for deploying the 500M parameter model on Windows games.

Use cases

• run an AI agent that plays Windows games from pixel input
• serve a gameplay foundation model for inference
• post-train a generalist gaming agent on a new game
• research training agents from internet video data
• control a game via predicted gamepad actions

When to choose

• you want to experiment with a generalist game-playing foundation model
• you need a fast-reacting system-1 sensory agent for Windows games
• you are researching behavior cloning from internet gameplay videos

When to avoid

• you need long-horizon planning or end-to-end game completion
• your games run on Linux or macOS only
• you need a production-ready game bot rather than a research prototype
• you cannot provide your own copies of the games

Facets

library · maturity experimental

machine-learning deep-learning agent-framework llm-inference artificial-intelligence gaming-tools machine-learning windows python foundation-model game-agents behavior-cloning video-game-ai research-project ai-agents linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="MineDojo/NitroGen")