What problem does it solve?
Streamlines building, testing, and iterating on AI agents and graph-based workflows in ADK by centralizing practical guidance and best practices in one place.
Core Features & Use Cases
- Reference hub for ADK agent construction: Quickly find the right patterns for creating LLM agents, function nodes, tool use, and workflow graph wiring.
- Workflow orchestration patterns: Learn routing/conditions, join/fan-out, retry configuration, nested workflows, and dynamic node scheduling to build robust execution graphs.
- Reliability and maintainability guidance: Apply validation rules and schema/serialization best practices to prevent common runtime and persistence failures.
- HITL and multi-agent coordination: Use structured human-in-the-loop techniques, interruption/resume conventions, and multi-agent patterns for larger systems.
Quick Start
Tell the AI: "I want to design an ADK Workflow that routes requests, supports human-in-the-loop approval, and safely feeds LLM outputs into a JoinNode—show me which references I should read and the order to implement them."
