# Building AI Agents in Dart with the Genkit Dart SDK

DevFeed: [Building AI Agents in Dart with the Genkit Dart SDK](<https://devfeed.tech/articles/full-stack-ai-in-dart-because-learning-python-is-for-snakes-22850.md>)

Original publisher: [Read original article](<https://medium.com/google-developer-experts/ai-in-dart-5070243b0407?source=rss----a67bd6fa7d58---4>)

Author: Abhishek Doshi

Published: 2026-08-10T23:16:05Z

Content type: tutorial

Language: en

Sources: [Google Developer Experts - Medium](<https://devfeed.tech/sources/google-developer-experts-medium.md>)

Topics: [Dart](<https://devfeed.tech/topics/dart.md>), [Genkit](<https://devfeed.tech/topics/genkit.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Flutter](<https://devfeed.tech/topics/flutter.md>), [Cloud Functions](<https://devfeed.tech/topics/cloud-functions.md>), [Firebase](<https://devfeed.tech/topics/firebase.md>), [SDKs](<https://devfeed.tech/topics/sdks.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [ai-development](<https://devfeed.tech/tags/ai-development.md>), [cloud-functions](<https://devfeed.tech/tags/cloud-functions.md>), [dart](<https://devfeed.tech/tags/dart.md>), [firebase](<https://devfeed.tech/tags/firebase.md>), [flutter](<https://devfeed.tech/tags/flutter.md>), [generative-ai-tools](<https://devfeed.tech/tags/generative-ai-tools.md>), [genkit](<https://devfeed.tech/tags/genkit.md>), [sdk](<https://devfeed.tech/tags/sdk.md>)

## AI overview

This tutorial introduces the Genkit Dart SDK for building AI agents natively in Dart and deploying them to Cloud Functions for Firebase. It explains agent orchestration, conversational state, history, streams, models, tools, flows, and multi-agent delegation.

## Source excerpt

Because your Flutter app deserves a brain, and you deserve to never look at a Python traceback again. Let's be honest. We all love Dart. It's clean, it's safe, and it powers our beloved Flutter. But until recently, if you wanted to build serious, multi-step AI agents, the industry basically told you to pack your bags, leave your cozy typed ecosystem, and go write Python. Gross 🤮 Thankfully, Google finally heard our collective sighs and dropped the Genkit Dart SDK. Now, you can build full-stack, hyper-intelligent AI agents natively in Dart and deploy them straight to Cloud Functions for Firebase. No context-switching. No spinning up a random Node.js microservice just to talk to an LLM. Grab your coffee (or your energy drink of choice). Let's look at how Genkit turns your Dart code into an absolute powerhouse. https://medium.com/media/91c2efa4198c043f3f400f216214650e/hrefThe Shift: From "Dumb Chatbots" to "Autonomous Overlords" Building traditional chatbots or strict multi-step UI flows often feels like playing one of those terrible, rigid video games that block you at a level until you do exactly what the developers scripted. Agentic AI, by contrast, is the ultimate open-ended sandbox. An agent doesn't just blindly answer a prompt. It analyzes what the user wants, figures out which tools it needs to achieve the goal, and dynamically orchestrates the steps to get there. With Genkit's new Agents API, all the messy plumbing: maintaining conversational state, keeping track of history, and parsing streams, is handled behind a single API. You just focus on giving it a brain. The Holy Trinity: Models, Tools, and Flows To stop your AI from just hallucinating fan-fiction, Genkit uses a few core primitives. Think of this as the toddler-proofing stage of AI development. Models (ai.generate()): The actual brain. Whether you are using Gemini, Claude, or OpenAI, the API stays exactly the same. Tools (defineTool): This is how you give your AI hands. By defining strict input schemas