---
title: "genkit"
type: "tool"
slug: "genkit-ai-genkit"
canonical_url: "https://www.graphcanon.com/tools/genkit-ai-genkit"
github_url: "https://github.com/genkit-ai/genkit"
homepage_url: "https://genkit.dev"
stars: 6201
forks: 779
primary_language: "TypeScript"
license: "Apache-2.0"
categories: ["llm-frameworks", "developer-tools"]
tags: ["vector-database", "agents", "llm", "ai", "rag", "multimodal", "embedders"]
updated_at: "2026-07-07T18:38:33.318336+00:00"
---

# genkit

> Open-source framework for building AI-powered apps in JavaScript, Go, and Python

Genkit is an open-source framework that enables developers to build full-stack AI-powered applications with support across multiple programming languages. It provides a unified interface for integrating various AI models from providers such as Google, OpenAI, Anthropic, and more.

## Facts

- Repository: https://github.com/genkit-ai/genkit
- Homepage: https://genkit.dev
- Stars: 6,201 · Forks: 779 · Open issues: 852 · Watchers: 60
- Primary language: TypeScript
- License: Apache-2.0
- Last pushed: 2026-07-07T16:42:25+00:00

## Categories

- [LLM Frameworks](/categories/llm-frameworks.md)
- [Developer Tools](/categories/developer-tools.md)

## Tags

vector-database, agents, llm, ai, rag, multimodal, embedders

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## README (excerpt)

```text
[Genkit](https://genkit.dev) 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](https://genkit.dev/docs/plugins/google-genai), [OpenAI](https://genkit.dev/docs/plugins/openai), [Anthropic](https://thefireco.github.io/genkit-plugins/docs/plugins/genkitx-anthropic), [Ollama](https://genkit.dev/docs/plugins/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.

Get started with just a few lines of code:

```ts
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](https://examples.genkit.dev)

## Key capabilities

<table>
  <tr>
    <td><strong>Broad AI model support</strong></td>
    <td>Use a unified interface to integrate with hundreds of models from providers like <a href="https://genkit.dev/docs/plugins/google-genai">Google</a>, <a href="https://genkit.dev/docs/plugins/openai">
    OpenAI</a>, <a href="https://thefireco.github.io/genkit-plugins/docs/plugins/genkitx-anthropic">
    Anthropic</a>, <a href="https://genkit.dev/docs/plugins/ollama">Ollama</a>, and more. Explore, compare, and use the best models for your needs.</td>
  </tr>
  <tr>
    <td><strong>Simplified AI development</strong></td>
    <td>Use streamlined APIs to build AI features with <a href="https://genkit.dev/docs/models#structured-output">
    structured output</a>, <a href="https://genkit.dev/docs/tool-calling">agentic tool calling</a>, <a href="https://genkit.dev/docs/rag">context-aware generation</a>, <a href="https://genkit.dev/docs/models#multimodal">multi-modal input/output</a>, and more. Genkit handles the complexity of AI development, so you can build and iterate faster.</td>
  </tr>
  <tr>
    <td><strong>Web and mobile ready</strong></td>
    <td>Integrate seamlessly with frameworks and platforms including Next.js, React, Angular, iOS, Android, using purpose-built <a href="https://genkit.dev/docs/firebase">client SDKs</a> and helpers.</td>
  </tr>
  <tr>
    <td><strong>Cross-language support</strong></td>
    <td>Build with the language that best fits your project. Genkit provides SDKs for JavaScript/TypeScript, Go, Python (Beta), and Dart (Preview) with consistent APIs and capabilities across all supported languages.</td>
  </tr>
  <tr>
    <td><strong>Deploy anywhere</strong></td>
    <td>Deploy AI logic to any environment that supports your chosen programming language, such as <a href="https://genkit.dev/docs/firebase">Cloud Functions for Firebase</a>,
    <a href="https://genkit.dev/docs/cloud-run">Google Cloud Run</a>, or <a href="https://genkit.dev/docs/deploy-node">third-party platforms</a>,
    with or without Google services.</td>
  </tr>
  <tr>
    <td><strong>Developer tools</strong></td>
    <td>Accelerate AI development with a purpose-built, local <a href="https://genkit.dev/docs/devtools">CLI and Developer UI</a>. Test prompts and
    flows against individual inputs or datasets, compare outputs from different models, debug with detailed execution traces, and use immediate visual feedback to iter
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/genkit-ai-genkit`](/api/graphcanon/tools/genkit-ai-genkit)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_