Sollimann/bonsai

Health v2 · maintenance only

Adoption not part of the score

1041 stars · 40 forks observed · 2026-08-28

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

Bonsai is a Rust implementation of behavior trees for building deterministic AI logic, with Python bindings available on PyPI. It targets robotics (ROS/ROS2), game development (Bevy, Unreal), and other reactive AI systems.

Use cases

• implement behavior trees for game AI in Rust
• build deterministic robot decision logic with ROS2
• replace finite state machines with behavior trees
• use behavior trees from Python
• create modular reactive AI behaviors for autonomous robots

When to choose

• you need deterministic, modular AI decision-making in Rust or Python
• you're building robotics or game AI where behavior trees fit better than FSMs
• you want a lightweight MIT-licensed BT library with crates.io and PyPI packages

When to avoid

• you need a full game engine or robotics middleware rather than a behavior tree library
• you require machine-learning-based AI rather than rule-based behavior logic
• you need mature tooling like visual BT editors bundled with the library

Facets

library · maturity active

game-engine simulation concurrency state-management robotics artificial-intelligence simulation rust python cross-platform behavior-tree finite-state-machine ros2 bevy unreal-engine deterministic-ai python-bindings game-development

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