adk-python: Build AI Agents
The adk-python toolkit allows startup founders to build, evaluate, and deploy sophisticated AI agents with flexibility and control using Python.
- •You need to integrate AI decision-making into your application
- •You want to evaluate and compare different AI agent architectures
- •You require fine-grained control over the AI development and deployment process
python examples/run_example.py --agent=my_agent --env=my_env
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/adk-python && curl -fsSL https://workflowstacks.com/api/skills/adk-python/claude-skill -o ~/.claude/skills/adk-python/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Adk-python: Build AI Agents is a very large Python project (~239k lines across 1250 code files, plus 717 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3pyproject.tomlDependencies and the commands it exposes
- 4src/google/adk/__init__.pyInside src/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/adk-python && curl -fsSL https://workflowstacks.com/api/skills/adk-python/claude-skill -o ~/.claude/skills/adk-python/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Includes the tested workflow and a written setup playbook. Needs: Google Places API key (free tier).
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