adk-java and adk_training
The official toolkit (A) provides the core framework for building Google AI agents, while the training hub (B) offers educational resources and practical examples to help developers learn and implement that same toolkit in production environments—making them complements rather than competitors.
About adk-java
google/adk-java
An open-source, code-first Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Supports multi-agent composition for hierarchical systems and integrates with Google Cloud services through pre-built tools and OpenAPI specs. Features a built-in development UI for testing and debugging agents locally, with A2A protocol support for remote agent-to-agent communication. Emphasizes code-first Java development for reproducible, versionable agent logic that can run from local environments to cloud deployment.
About adk_training
raphaelmansuy/adk_training
Google ADK Training Hub: Build Production-Ready Google AI Agents in Days, Not Months 🚀 The only comprehensive Google ADK training with 34 hands-on tutorials, working code examples, and production deployment patterns. Learn skills that directly impact your projects and career. 💼
The framework bridges tool integration, workflow orchestration, and state management for LLMs through ADK's declarative approach—combining REST API bindings, sequential/parallel execution patterns, and persistent session handling without manual boilerplate. Covers the full production stack from agent basics to deployment on Google Cloud (Cloud Run, Vertex AI, GKE), plus integration patterns for Next.js, React, Streamlit, Slack, and Pub/Sub environments. Uses the Model Context Protocol (MCP) for extensible tool connections and event-driven observability for monitoring agent behavior in production systems.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work