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Agent Development Kit (Google)

AGENT

Code-first Python toolkit for building sophisticated AI agents with multi-agent orchestration, built-in evaluation, and flexible deployment. Model-agnostic with tight Google ecosystem integration. Apache 2.0 licensed

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Overview

Agent Development Kit (Google) is a free AI agent on OpenRuna. Code-first Python toolkit for building sophisticated AI agents with multi-agent orchestration, built-in evaluation, and flexible deployment. Model-agnostic with tight Google ecosys

What this agent does

Looking for a dependable AI agent? "Agent Development Kit (Google)" gives you a tested starting point instead of a blank prompt box. Code-first Python toolkit for building sophisticated AI agents with multi-agent orchestration, built-in evaluation, and flexible deployment. Model-agnostic with tight Google ecosystem integration. Apache 2.0 licensed On OpenRuna it sits inside a connected graph of related AI agents, tools, and datasets, so branching into adjacent resources is one click away. Open a new conversation and paste it in, wire it into an agent, or keep it in your team's prompt library.

Use cases

  • Fork it as a baseline and layer in your own project context, constraints, and examples.
  • Keep it in a shared library as the canonical version of this AI agent for your organisation.
  • Use "Agent Development Kit (Google)" when you need a repeatable AI agent for professional work without rewriting instructions every time.
  • Hand "Agent Development Kit (Google)" to a new teammate so their AI agent output matches your team's quality bar from day one.

Example output

Ask the model to apply "Agent Development Kit (Google)" to your scenario and it returns a structured answer — clear sections, actionable steps, and assumptions stated upfront — ready to paste into docs, tickets, or code comments. Expect 2–3 iterations to dial in tone and depth for your context.

Tips by platform

Claude

In Claude, paste the full AI agent as your first message or add it to Project instructions, then ask Claude to confirm assumptions before it executes. For longer AI agents, iterate inside the artifact panel.

ChatGPT

ChatGPT responds well when you paste this AI agent and immediately give one concrete example of your input. Use a reasoning-capable model for multi-step work.

Cursor

Cursor users can store this AI agent as a project rule so Agent mode applies it automatically. Mention it with @ when you want it scoped to a single task.

Frequently asked questions

What is "Agent Development Kit (Google)"?
It is a AI agent listed on OpenRuna — Code-first Python toolkit for building sophisticated AI agents with multi-agent orchestration, built-in evaluation, and flexible deployment. Model-agnostic with tight Google ecosystem integration. Apache 2.0 licensed You can copy and adapt it for ChatGPT, Claude, Cursor, or any other AI assistant.
Is "Agent Development Kit (Google)" free to use?
Most OpenRuna resources are open or CC0-licensed. Check the license shown on this page before commercial use; premium collections are clearly marked as such.
How do I get the best results from this AI agent?
Replace any placeholders, add your project context, and ask the model to confirm its assumptions first. Iterate over 2–3 follow-up turns rather than expecting a perfect first response.
Does "Agent Development Kit (Google)" work with both Claude and ChatGPT?
Yes — it is model-agnostic text, so it runs on Claude, ChatGPT, Gemini, and Cursor. The tips on this page cover each of those assistants specifically.
Where can I find resources related to "Agent Development Kit (Google)"?
Scroll to the Related resources section on this page, or open the matching category hub on OpenRuna to find connected prompts, tools, agents, and datasets in the same topic area.

Related resources