edbeeching/godot_rl_agents

Health v2 · maintenance only

Adoption not part of the score

1575 stars · 116 forks observed · 2026-08-28

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

Godot RL Agents is an open-source Python package that bridges games built in the Godot Engine with reinforcement learning algorithms, enabling training of complex NPC and agent behaviors. It wraps four popular RL frameworks (StableBaselines3, Sample Factory, Ray RLLib, CleanRL) and supports 2D/3D games, memory-based agents, and AI sensors.

Use cases

• train NPCs to learn complex behaviors in Godot games
• run reinforcement learning experiments in 2D and 3D game environments
• use StableBaselines3 or RLLib to train agents in a Godot simulation
• build memory-based agents with LSTM or attention for game AI
• research RL in custom game environments
• teach game characters to jump, chase, or fly via RL

When to choose

• you build games in Godot and want learned agent behaviors
• you want an open-source, MIT-licensed RL-to-game-engine bridge
• you want to experiment with multiple RL frameworks against the same game environment
• you are an AI researcher needing a free simulation environment for RL

When to avoid

• your game engine is Unity or Unreal rather than Godot
• you need production game AI without a Python training pipeline
• you want supervised learning or LLM-based agents rather than reinforcement learning

Facets

library · maturity active

reinforcement-learning machine-learning simulation game-engine reinforcement-learning machine-learning simulation python cross-platform windows godot game-ai npc-behavior stable-baselines3 rllib sample-factory cleanrl lstm-agents game-development linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="edbeeching/godot_rl_agents")