Project screenshots
Overview
Genkit abstracts the complexity of AI development by providing a unified interface across multiple model providers and programming languages. It enables developers to build server-side AI logic and integrate it seamlessly into web and mobile clients. The framework supports multimodal content, structured outputs, tool calling, and agentic workflows, and is designed for deployment in various environments including Firebase and Google Cloud Run.
Key features
- Broad AI model support via unified interface
- Type-safe, structured data generation
- Agentic tool calling
- Prompt templating
- Persisted chat interfaces
- AI workflows and flows
- AI-powered data retrieval (RAG)
- Multimodal text and image generation
- Cross-language SDKs (JS/TS, Go, Python, Dart)
- Local CLI and Developer UI for testing and debugging
- Production monitoring and observability
Requirements, installation and quick start
Usage
Model compatibility and use cases
Supports integration with AI models from providers including Google, OpenAI, Anthropic, Ollama, and Vertex AI.
License and risk notes
Licensed under the Apache-2.0 license.
Editorial verification 2026-08-09: repository URL, owner, description, license and repository statistics were reviewed. License metadata: Apache-2.0. README was fetched for the channel draft; re-check repository dependencies, releases and model terms before production use.
Release and maintenance
Not stated in the repository metadata.