genkit-ai/genkit

Health v2 · maintenance only

Adoption not part of the score

6378 stars · 837 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Genkit is an open-source framework by Google for building full-stack, AI-powered agentic applications in JavaScript/TypeScript, Go, Python, and Dart. It provides a unified, model-agnostic API for generation, structured output, tool calling, RAG, and multimodal content, plus a CLI and Developer UI for testing, tracing, and deployment.

Use cases

• build a chatbot with llm tool calling
• add rag with a vector database to my app
• generate structured output from an llm
• swap between openai, anthropic, and gemini models with one api
• build an ai agent workflow in go or python
• deploy ai flows as http endpoints
• debug and trace llm calls locally with a developer ui

When to choose

• you want a production-backed, multi-language framework for AI features
• you need model-agnostic generation with easy provider swapping
• you're building full-stack agentic apps with Next.js, React, Angular, Flutter, or standalone backends
• you want built-in observability, tracing, and local dev tooling for AI workflows

When to avoid

• you only need a thin single-provider SDK without workflow abstractions
• you need mature Python or Dart support today (still beta/preview)
• you want a framework-locked-to-one-cloud experience or non-AI application logic only

Facets

framework · maturity stable

agent-framework llm-inference rag prompt-engineering chatbot sdk plugin-system web-framework artificial-intelligence large-language-models chatbots web-development developer-tools go python cross-platform cli generative-ai multi-language tool-calling structured-output multimodal model-agnostic observability flows google firebase ai-agents retrieval-augmented-generation nodejs web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="genkit-ai/genkit")