# bitbrain/beehave

🐝 behavior tree AI for Godot Engine

Repository: https://github.com/bitbrain/beehave
Canonical: https://ross.abutalabs.com/products/beehave
Homepage: https://bitbra.in/beehave
Language: GDScript
License: MIT
License Family: permissive
Topics: ai, behavior-tree, gamedev, gdscript, godot, godot3, godot4, game-development, godotengine
Last push: 2026-08-18T06:38:17+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 86, longevity 100
- inputs: {"age_days": 1584, "days_push": 15, "days_rel": 15, "gap_med": 47.0, "n_releases_24m": 7}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3246, forks 170 (observed 2026-08-28T04:07:50.679181+00:00)

## What it is
Beehave is a Godot Engine addon for building AI systems with behavior trees, composed directly in the scene tree. It includes a runtime debug view, performance monitors, and unit-test coverage, supporting both Godot 3.x and 4.x.

## Use cases
- create NPC behavior trees in Godot
- build boss battle AI for my game
- make adaptive game AI that reacts to the world
- debug behavior tree execution at runtime in Godot
- monitor performance of AI behavior trees
- add behavior tree AI to a Godot 4 project

## When to choose
- you use Godot 3.x or 4.x and want scene-tree-based behavior trees
- you need editor-integrated debugging and performance monitoring for game AI
- you want a well-tested, MIT-licensed GDScript AI addon

## When to avoid
- you use a game engine other than Godot
- you need machine-learning-based AI rather than behavior trees
- you prefer writing AI logic in code rather than node-based trees

## Facets
- artifact type: plugin
- maturity: active
- function: game-engine, simulation, developer-tools
- domain: artificial-intelligence, gaming-tools
- platform: game-engine, cross-platform
- tags: godot, godot-addon, behavior-tree, gdscript, npc-ai, game-ai, boss-battles, debug-view, game-development

## Member repositories
- bitbrain/beehave (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:50.679181+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:43:54.587572+00:00, confidence not recorded.
  - readme: https://github.com/bitbrain/beehave (fetched 2026-08-28T04:07:50.679181+00:00, sha 4e0b64248228)
  - homepage: https://bitbra.in/beehave (fetched 2026-08-29T09:37:05.471058+00:00, sha 9e75377252a8)
- Data as of 2026-08-30T08:39:29.467469+00:00.