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Beehave is a behavior tree AI framework and plugin for the Godot engine. It serves as an agent logic orchestrator for designing adaptive non-player character behaviors using hierarchical behavior trees.
The main features of bitbrain/beehave are: Behavior Trees, NPC Integration, Stateful Agent Orchestration, Game Engine AI Plugins, NPC Logic Composition, State-Based Execution Logic, Visual Editors, AI Application Debugging.
Projects with overlapping indexed features include: behaviortree/behaviortree.cpp — BehaviorTree.CPP is a C++ library for designing task-switching logic and reactive behaviors using a hierarchical tree… ashblue/fluid-behavior-tree — Fluid Behavior Tree is a code-driven framework for Unity designed to manage autonomous character behaviors through… tomlooman/actionroguelike — ActionRoguelike is a third-person cooperative game project built with C++ and Unreal Engine. It functions as a… agentops-ai/agentops — AgentOps is an observability platform and developer toolkit for monitoring the execution, performance, and reliability… pydantic/pydantic-ai — PydanticAI is a Python framework designed for building production-grade autonomous agents. It provides a unified… firebase/genkit — Genkit is an open-source framework for building AI-powered applications. It provides a unified interface for…
BehaviorTree.CPP is a C++ library for designing task-switching logic and reactive behaviors using a hierarchical tree structure. It provides a framework for creating reactive logic systems that manage complex behaviors through an execution engine and a centralized data store for sharing state between nodes. The library decouples high-level behavioral logic from source code by using an XML parser to define tree morphology. It further extends its functionality through a dedicated visualizer for monitoring real-time execution states and a specialized bridge for integrating ROS2 actions and servi
Fluid Behavior Tree is a code-driven framework for Unity designed to manage autonomous character behaviors through hierarchical decision-making structures. It functions as a game AI logic engine that processes complex entity behaviors by traversing directed graphs of nodes that return success, failure, or running status signals during each frame update. The library distinguishes itself through a fluent builder pattern that allows developers to define nested tree structures, sequences, and parallel execution flows entirely through chainable code methods. This approach emphasizes modularity, en
ActionRoguelike is a third-person cooperative game project built with C++ and Unreal Engine. It functions as a networked application that utilizes replication architecture to synchronize character states and combat across multiple clients. The project implements a data-oriented performance framework that employs object pooling and asynchronous asset loading to optimize memory usage and frame rates. It features a behavior tree AI system combined with environment queries to drive autonomous NPC decision making and combat, alongside a binary serialization framework for saving actor variables and
AgentOps is an observability platform and developer toolkit for monitoring the execution, performance, and reliability of autonomous agents powered by large language models. It serves as a system for tracking AI agent behavior, debugging complex workflows, and benchmarking model performance. The platform is distinguished by its ability to visualize multi-agent workflows through execution path graphing and session replays. It provides specific tools for calculating financial spend across various language model providers and supports a self-hosted observability stack for users who require full