Genkit

Genkit is an open-source framework for building AI-powered and agentic applications using unified APIs for models like Gemini, GPT, and Claude.

Genkit is an open-source framework for building full-stack, AI-powered applications in JavaScript, Go, Python, and Dart. It provides unified APIs that allow developers to integrate models including Google Gemini, OpenAI GPT, Claude, and Ollama. The framework enables the construction of chat interfaces, retrieval-augmented generation, tool use, and agents using built-in primitives. Developers define prompts, flows, and tools directly in code. A local developer UI and CLI support debugging, execution, and observation of AI workflows. Applications built with Genkit deploy to Firebase, Cloud Run, or custom infrastructure.

Genkit at a glance

Best for: Software engineer
Runs on: CLI, open source
Pricing: Free
Released: April 2024
Category: AI coding tool
Website: genkit.dev

Key features

Unified APIs for Gemini, OpenAI, Claude, and Ollama
Support for JavaScript, Go, Python, and Dart
Local developer UI for debugging and observing workflows
Structured outputs and tool calling capabilities
Flow definition for chat and RAG architectures
CLI for workflow inspection and iteration

Use it for

Building agentic applications
Integrating RAG into software
Structuring chat and tool use workflows
Developing production-ready AI features

Companions

Tools that articles about Genkit recommend using with it, each with its job.

Gemini — Built to work with Gemini.
Claude — Built to work with Claude.
Composio — Equips AI agents with tools, managed user auth, and sandboxes across 1,500+ apps
Context7 — Up-to-date API documentation for coding questions.
Gemini Notebook — Answers cite only the uploaded sources, with podcast-style summaries
Google Workspace

Alternatives to Genkit

CopilotKit — Connects your application to AI agents with generative UI and human approvals.
Genaicode — Unifies multiple coding agents behind one API and CLI.
Google ADK for Go — Apply standard software engineering practices to AI agent orchestration.
Google ADK — It applies software development principles to agent creation with Python.
AG-UI — Standardizes agent-user interactions and generative UI for applications.
AI SDK — Switch providers easily and stream real-time responses without custom parsing.
OpenCode — Works with 75+ model providers, local models, and existing subscriptions
Gen System — It builds syntax trees and call graphs without models, ensuring verified code generation.
jevgrep — Reduces coding agent costs by providing targeted, relevant repository context.
Gtree — Runs multiple AI coding agents together and flags file overlaps.
Opengeni — It provides complete agent infrastructure with durable sessions and sandboxes out of the box.
Natta Toolkit — It validates AI decisions and uses deterministic code to perform actual work.

All Genkit alternatives