Analysis updated 2026-05-18
Learn to build and manage AI agents using Google's ADK framework.
Practice creating sequential, parallel, and routing agents.
Explore how one AI agent can be used as a tool by another agent.
Follow a structured workshop with video and written guides.
| sdkdeepa/ailearninglab-workshop | 0311119/free_registertool | 18597990650-lab/multi-agent-game | |
|---|---|---|---|
| Stars | 24 | 24 | 24 |
| Language | — | Python | Python |
| Setup difficulty | moderate | hard | moderate |
| Complexity | 2/5 | 4/5 | 3/5 |
| Audience | vibe coder | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires either a Gemini API key or a Google Cloud trial account with Vertex AI access.
{"i":0,"repo":"sdkdeepa/AIlearninglab-workshop","stars":24,"lang":"unknown","ok":true,"char_count":859,"text":"This repository is a companion to an AI learning lab workshop held on July 15th. It provides materials and workarounds for attendees. The workshop focuses on Google's Agent Development Kit, commonly called ADK, and teaches participants how to build and manage AI agents.\n\nThe repo offers two paths for building the projects. Participants can use a Gemini API key, which involves a separate guide file linked in the readme. Alternatively, they can use Vertex AI through a cloud trial account, which also has its own linked guide. These instructions let attendees choose the setup that works best for their situation.\n\nThe workshop covers a range of topics related to AI agents. It starts with single agents and then moves into more complex structures like sequential agents, parallel agents, and loop agents. The material also covers routing agents and custom agents. One topic, called agent-as-tool, explores how an AI agent can be used by another agent as if it were a tool.\n\nAdditional topics include memory, which relates to how agents retain information, and the Model Context Protocol, referred to as MCP. A recording of the workshop is available on YouTube, linked through a thumbnail image in the readme. The readme is sparse and does not provide details on the specific code or examples used during the event.","error":null}
Workshop materials for building AI agents with Google's Agent Development Kit (ADK). Covers single agents, parallel agents, routing, memory, and using one agent as a tool for another.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
Verify against the repo before relying on details.