Genkit

Genkit is an open-source framework for building full-stack AI-powered applications, built and used in production by Google's Firebase. It provides SDKs for multiple programming languages with varying levels of stability:

• JavaScript/TypeScript: Production-ready with full feature support
• Go: Production-ready with full feature support
• Python (Beta): Wide feature support approaching production-readiness
• Dart (Preview): Early development with core functionality

It offers a unified interface for integrating AI models from providers like Google, OpenAI, Anthropic, Ollama, and more. Rapidly build and deploy production-ready chatbots, automations, and recommendation systems using streamlined APIs for multimodal content, structured outputs, tool calling, and agentic workflows.

Building with a coding agent? Install the Genkit skill first.

npx skills add genkit-ai/skills --skill developing-genkit-js      # JavaScript/TypeScript
npx skills add genkit-ai/skills --skill developing-genkit-go      # Go
npx skills add genkit-ai/skills --skill developing-genkit-python  # Python
npx skills add genkit-ai/skills --skill developing-genkit-dart    # Dart

It teaches your agent the current Genkit APIs and common gotchas. Source and manual install: genkit-ai/skills.

Get started with just a few lines of code:

import { genkit } from 'genkit';
import { googleAI } from '@genkit-ai/google-genai';

const ai = genkit({ plugins: [googleAI()] });

const { text } = await ai.generate({
    model: googleAI.model('gemini-flash-latest'),
    prompt: 'What is the meaning of life?'
});

Explore & build with Genkit

Play with AI sample apps, with visualizations of the Genkit code that powers them, at no cost to you.

Explore Genkit by Example

Key capabilities

How does it work?

Genkit simplifies AI integration with an open-source SDK and unified APIs that work across various model providers and programming languages. It abstracts away complexity so you can focus on delivering great user experiences.

Some key features offered by Genkit include:

• Text and image generation
• Type-safe, structured data generation
• Tool calling
• Prompt templating
• Persisted chat interfaces
• AI workflows
• AI-powered data retrieval (RAG)

Genkit is designed for server-side deployment in multiple language environments, and also provides seamless client-side integration through dedicated helpers and client SDKs.

Implementation path

Get started

• JavaScript/TypeScript quickstart
• Go quickstart
• Python quickstart (Beta)
• Dart quickstart (Preview)

Development tools

Genkit provides a CLI and a local UI to streamline your AI development workflow.

CLI

The Genkit CLI includes commands for running and evaluating your Genkit functions (flows) and collecting telemetry and logs.

• Install: npm install -g genkit-cli
• Run a command, wrapped with telemetry, a interactive developer UI, etc: genkit start -- <command to run your code>

Developer UI

The Genkit developer UI is a local interface for testing, debugging, and iterating on your AI application.

Key features:

• Run: Execute and experiment with Genkit flows, prompts, queries, and more in dedicated playgrounds.
• Inspect: Analyze detailed traces of past executions, including step-by-step breakdowns of complex flows.
• Evaluate: Review the results of evaluations run against your flows, including performance metrics and links to relevant traces.

Connect with us

• Follow us on X/Twitter – Get the latest news, updates, releases, tips and samples from the Genkit team.
• Join us on Reddit – Post questions, learn advanced features, connect with the team and read the latest developments.
• Join us on Discord – Get help, share ideas, and chat with other developers.
• Contribute on GitHub – Report bugs, suggest features, or explore the source code.
• Contribute to Documentation and Samples – Report issues in Genkit's documentation, or contribute to the samples.

Contributing

Contributions to Genkit are welcome and highly appreciated! See our Contribution Guide to get started.

Authors

Genkit is built by Google with contributions from the Open Source Community.