An open-source, code-first toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Provides Gemini with up-to-date information about ADK. The documentation content is sourced from llms.txt - either from the official ADK-Docs repo, or one you supply.

G-Coder is a command-line AI agent designed to be your partner in software development, DevOps, and system administration. Built on the powerful and fluid [Google Agent Development Kit (ADK)](https://google.github.io/adk-docs/), G-Coder is engineered for speed, reliability, and effectiveness.

ADK Python learning notes and architecture docs

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An [ADK](https://google.github.io/adk-docs/) agent that manages [Gemini Enterprise](https://docs.cloud.google.com/gemini/enterprise/docs) subscriptions, licenses, and quota usage through the Discovery Engine REST APIs.

RAG-powered document search backend with FastAPI, AWS (S3, Bedrock, OpenSearch Serverless), Google ADK agent, and MCP server for intelligent question-answering over indexed docs

Multi-agent AI system with Google ADK + A2A protocol: Researcher → Judge → Content Builder pipeline on Cloud Run. Reference implementation with full docs for LLMs and developers.

Swanky Docs for ADK

google adk 开发。https://google.github.io/adk-docs/

All about learning Google's ADK (https://google.github.io/adk-docs/)

Experimenting with google.github.io/adk-docs

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Public documentation for adkit.dev, the alternative to AdSense for monetizing your website.

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https://google.github.io/adk-docs/get-started/quickstart/

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Following the steps from : https://google.github.io/adk-docs/

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A playground repository to showcase the power of Google's [Agent Development Kit (ADK)](https://google.github.io/adk-docs/).

Agent generated from py_google_adk template

A multi-agent research assistant built with https://google.github.io/adk-docs/

Google Agent Developer Kit Project for ShellHacks https://google.github.io/adk-docs/get-started/quickstart/

A multi-agent AI team that provides weather information. The base implementation follows the tutorial on Google's ADK documentation here: https://google.github.io/adk-docs/tutorials/agent-team/.