This document provides context for AI coding assistants (Antigravity, Gemini CLI, etc.) to understand the ADK Python project and assist with development.
For all matters regarding ADK development, please use the appropriate skill:
adk-architecture: Use this skill whenever you need to understand the architecture, event flow, or state management of the ADK system, or when designing or modifying core components and public APIs.- Read
.agents/skills/adk-architecture/SKILL.mdfor full instructions.
- Read
adk-style: Use this skill whenever writing code, tests, or reviewing PRs for the ADK project to ensure compliance with styling and coding conventions. Also use it for committing, bug fixing, and testing rules.- Read
.agents/skills/adk-style/SKILL.mdfor full instructions.
- Read
adk-git: Use this skill for any git operation (commit, push, pull, rebase, etc.). It provides guidelines for Conventional Commits and branch naming.- Read
.agents/skills/adk-git/SKILL.mdfor full instructions.
- Read
adk-sample-creator: Use this skill when creating new samples demonstrating features or agent patterns, or when adding examples to subdirectories undercontributing/.- Read
.agents/skills/adk-sample-creator/SKILL.mdfor full instructions.
- Read
The Agent Development Kit (ADK) is an open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents.
- Agent: Blueprint defining identity, instructions, and tools.
- Runner: Stateless execution engine that orchestrates agent execution.
- Tool: Functions/capabilities agents can call.
- Session: Conversation state management.
- Memory: Long-term recall across sessions.
- Workflow (ADK 2.0): Graph-based orchestration of complex, multi-step agent interactions.
- BaseNode (ADK 2.0): Contract for all nodes, supporting output streaming and human-in-the-loop steps.
- Context (ADK 2.0): Holds execution state and telemetry context mapped 1:1 to nodes.
For details on how the Runner works and the invocation lifecycle, please refer to the adk-architecture skill and the referenced documentation therein.
For detailed architecture patterns, component descriptions, and core interfaces, please refer to the adk-architecture skill at .agents/skills/adk-architecture/SKILL.md.
The project uses uv for package management and Python 3.11+. Please refer to the adk-setup skill at .agents/skills/adk-setup/SKILL.md for detailed instructions.