All comparisons

Comparison

Genkit vs ADK: Choosing an AI Framework

Genkit and Google ADK are both open source frameworks published by Google, but they answer different questions. Genkit gives you typed flows, prompts and tool calling to put AI features inside an application, in TypeScript, Go or Python. ADK gives you agents that plan, call tools and delegate to other agents, with an evaluation harness and a deployment path to Google Cloud. I use both, sometimes in the same project.

Feature-by-feature

FeatureGenkitGoogle ADK
Built forAI features inside an app: flows, prompts, RAG, tool callingAutonomous and multi-agent systems that plan and delegate
LanguagesTypeScript first, plus Go and PythonPython first, plus Java, Go and TypeScript
Multi-agent orchestrationYou wire agents yourself inside flowsNative: coordinator agents, sequential, parallel and loop workflows
Tools and MCPTyped tools, MCP client through a pluginFunction tools, built-in Google tools, MCP toolsets, agents as tools, A2A
ModelsModel agnostic through plugins: Gemini, OpenAI, Anthropic, Ollama and moreGemini native, other models through LiteLLM
DeploymentFirebase, Cloud Run, or any Node or Go runtimeCloud Run, Vertex AI Agent Engine, or any container
Observability and evaluationDeveloper UI, tracing, Firebase Genkit MonitoringDeveloper UI, session traces, evaluation harness with test sets
When I pick itA chatbot, content generation, extraction or RAG feature in a Next.js or Firebase productA workflow where several agents split the work on Google Cloud

Verdict

Pick Genkit when the AI lives inside an app you already run, especially on Next.js and Firebase, and you want typed flows you can test and monitor. Pick ADK when the product is the agent system itself: several specialised agents, tool use, evaluation runs and deployment on Google Cloud. ADK clearly wins on orchestration and evaluation; Genkit wins on integration speed and model freedom. In my own builds the site concierge and the content engine run on Genkit and the Gemini SDK, and I bring in ADK when a client needs a real multi-agent workflow.