jido-behaviortree

Model agent decision logic using behavior trees to separate control flow from business logic, enabling predictable, testable workflows with explicit branching, selectors, and fallback execution paths.

Behavior trees structure agent decision making by separating control flow from business logic, enabling predictable, testable workflows that coordinate leaf actions and signals without embedding business logic in the trees.

Build a small example demonstrating a selector and a fallback path, then run it in a Jido workflow by following builder notes and reference materials for node definition, outcome mapping, and integration boundaries.

Yes, you can model deliberate trees from decision points such as sequence, selector, guard, retry, or fallback to control execution flow within Jido workflows without embedding business logic.

No external dependencies are required to use jido-behaviortree. It operates standalone with reference materials to satisfy node definition, outcome mapping, and integration boundaries.

Avoid behavior trees when your agent logic requires no branching, selectors, sequences, guards, or fallback execution, as the structural overhead of separating control flow provides no benefit for simple linear tasks.