Awesome Genkit 

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A collection of awesome things regarding the Genkit ecosystem.


  
  
  




  
  
  




Genkit is a framework designed to help you build AI-powered applications and features. It provides open source libraries for Node.js and Go, plus developer tools for testing and debugging.





Contents 
- Plugins (#plugins)
  - JavaScript - Official (#javascript---official)
  - JavaScript - Community (#javascript---community)
  - Python - Official (#python---official)
  - Golang - Official (#golang---official)
  - Golang - Community (#golang---community)
- Client Libraries (#client-libraries)
- API References (#api-references)
- Solutions (#solutions)
- Talks (#talks)
- Videos (#videos)
- Articles (#articles)
- Tutorials (#tutorials)
- Follow (#follow)
- Contributors (#contributors)



Plugins

JavaScript - Official

1. Model / Embedding Plugins
   - @genkit-ai/vertexai (https://firebase.google.com/docs/genkit/plugins/vertex-ai) - The Vertex AI plugin provides interfaces to several AI services: Google generative AI models, A subset of evaluation metrics through the Vertex AI Rapid 
Evaluation API, Vector Search.
   - @genkit-ai/googleai (https://firebase.google.com/docs/genkit/plugins/google-genai) - The Google Generative AI plugin provides interfaces to Google's Gemini models through the Gemini API.
   - genkitx-ollama (https://firebase.google.com/docs/genkit/plugins/ollama) - The Ollama plugin provides interfaces to any of the local LLMs supported by Ollama.
2. Vector Store Plugins
   - genkitx-pinecone (https://firebase.google.com/docs/genkit/plugins/pinecone) - Plugin for Pinecone Vector Stores.
   - genkitx-chromadb (https://firebase.google.com/docs/genkit/plugins/chroma) - Plugin for Chroma Vector Stores.
   - @genkit-ai/dev-local-vectorstore (https://firebase.google.com/docs/genkit/rag) - Plugin for Local Vector Store for development purposes.
3. Monitoring Plugins
   - @genkit-ai/google-cloud (https://www.npmjs.com/package/@genkit-ai/google-cloud) - The Google Cloud plugin exports Genkit's telemetry and logging data to Google Cloud's operation suite.
4. Other Plugins
   - @genkit-ai/firebase (https://firebase.google.com/docs/genkit/plugins/firebase) - Firebase plugin provides several integrations with Firebase services: Indexers and retrievers using Cloud Firestore vector store, Trace storage using Cloud 
Firestore, Flow deployment using Cloud Functions, Authorization policies for Firebase Authentication users.
   - @genkit-ai/express (https://www.npmjs.com/package/@genkit-ai/express) - Express plugin provides an Express middleware for Genkit.

JavaScript - Community

1. Model / Embedding Plugins
   - genkitx-github (https://github.com/xavidop/genkitx-github) - Plugin for GitHub Models APIs.
   - genkitx-anthropic (https://github.com/TheFireCo/genkit-plugins/tree/main/plugins/anthropic) - Plugin for Anthropic AI APIs.
   - genkitx-cohere (https://github.com/TheFireCo/genkit-plugins/tree/main/plugins/cohere) - Plugin for Cohere APIs.
   - genkitx-groq (https://github.com/TheFireCo/genkit-plugins/tree/main/plugins/groq) - Plugin for Groq APIs.
   - genkitx-mistral (https://github.com/TheFireCo/genkit-plugins/tree/main/plugins/mistral) - Plugin for Mistral AI APIs.
   - genkitx-openai (https://github.com/TheFireCo/genkit-plugins/tree/main/plugins/openai) - Plugin for OpenAI APIs.
   - genkitx-azure-openai (https://github.com/TheFireCo/genkit-plugins/tree/main/plugins/azure-openai) - Plugin for Azure OpenAI APIs.
   - genkitx-aws-bedrock (https://github.com/xavidop/genkitx-aws-bedrock) - Plugin for AWS Bedrock APIs.
   - genkitx-deepseek (https://github.com/oddbit/genkitx-deepseek) - Plugin for Deepseek Cloud APIs.
   - genkitx-huggingface (https://github.com/xavidop/genkitx-huggingface) - Plugin for Hugging Face Inference APIs.
2. Vector Store Plugins
   - genkitx-convex (https://github.com/TheFireCo/genkit-plugins/tree/main/plugins/convex) - Plugin for Convex Vector Stores.
   - genkitx-hnsw (https://github.com/TheFireCo/genkit-plugins/tree/main/plugins/hnsw) - Plugin for HNSW Vector Stores.
   - genkitx-qdrant (https://github.com/qdrant/qdrant-genkit) - Plugin for Qdrant Vector Stores.
   - genkitx-astra-db (https://www.npmjs.com/package/genkitx-astra-db) - Plugin for AstraDB Vector Stores.
   - genkitx-pgvector (https://www.npmjs.com/package/genkitx-pgvector) - Plugin for PostgeSQL (PGVector) Vector Stores.
   - genkitx-tidb (https://github.com/BelfoSamad/genkitx-tidb) - Plugin for TiDB Vector Stores.
   - genkitx-redis (https://github.com/retzd-tech/genkitx-redis) - Plugin for Redis Vector Stores.
   - genkitx-voiceflow (https://github.com/xavidop/genkitx-voiceflow) - Plugin for Voiceflow KB.
3. Evaluator Plugins
   - genkitx-promptfoo (https://github.com/yukinagae/genkitx-promptfoo) - Plugin for Promptfoo Evaluations.
4. Other Plugins
   - genkitx-graph (https://github.com/TheFireCo/genkit-plugins/tree/main/plugins/graph) - Plugin for building Graph workflows.
   - @invertase/genkit-plugin-redis (https://github.com/invertase/genkit-plugin-redis) - A Redis Plugin for Genkit that adds Redis for efficient state storage, trace storage, caching, and rate limiting.
   - genkitx-rxjs (https://github.com/pavelgj/genkitx-rxjs) - A simple RxJS helper/adapter for Genkit.
   - @agentic/genkit (https://agentic.so/sdks/genkit) - Agentic Tools adapter for the Genkit SDK.

Python - Official
1. Model / Embedding Plugins
   - google-genai (https://python.api.genkit.dev/reference/plugins/google-genai/) - The Google Generative AI plugin provides interfaces to Google's Gemini models through the Gemini API & Vertex AI models.
   - ollama (https://python.api.genkit.dev/reference/plugins/ollama/) - The Ollama plugin provides interfaces to any of the local LLMs supported by Ollama.
2. Vector Store Plugins
   - firestore (https://python.api.genkit.dev/reference/plugins/firestore/) - The Firestore plugin provides interfaces to the Firestore vector store.
   - dev_local_vectorstore (https://python.api.genkit.dev/reference/plugins/dev-local-vectorstore/) - Plugin for Local Vector Store for development purposes.
3. Other Plugins:
   - flask (https://python.api.genkit.dev/flask/) - Flask plugin for building web applications with Genkit.

Golang - Official

1. Model / Embedding Plugins
   - googlegenai (https://firebase.google.com/docs/genkit-go/plugins/google-genai) - The Google Generative AI plugin provides interfaces to Google's Gemini models through the Gemini API & Vertex AI Models.
   - ollama (https://firebase.google.com/docs/genkit-go/plugins/ollama) - The Ollama plugin provides interfaces to any of the local LLMs supported by Ollama.
2. Vector Store Plugins
   - pinecone (https://firebase.google.com/docs/genkit-go/plugins/pinecone) - Plugin for Pinecone Vector Stores.
   - localvec (https://firebase.google.com/docs/genkit-go/rag) - Plugin for Local Vector Store for development purposes.
   - pgvector (https://firebase.google.com/docs/genkit-go/pgvector) - Plugin for PostgreSQL (PGVector) Vector Stores.
3. Monitoring Plugins
   - googlecloud (https://firebase.google.com/docs/genkit-go/plugins/google-cloud) - The Google Cloud plugin exports Genkit's telemetry and logging data to Google Cloud's operation suite.

Golang - Community

1. Model / Embedding Plugins
   - openai (https://pkg.go.dev/github.com/yukinagae/genkit-go-plugins/plugins/openai) - Plugin for OpenAI APIs.

Client Libraries

Dart - Official

- dart-client-for-genkit (https://pub.dev/packages/genkit) - A type-safe Dart client library for calling Genkit flows with streaming support, authentication, and comprehensive error handling.

API References
1. JavaScript (https://js.api.genkit.dev/) - Specs for the JavaScript API.
2. Python (https://python.api.genkit.dev/) - Specs for the Python API.
3. Golang (https://pkg.go.dev/github.com/firebase/genkit/go) - Specs for the Golang API.

Solutions

- internal AI (https://github.com/tanabee/internal-ai) - An open-source Genkit-based internal AI chat application.

Talks

- Supercharge your app with Genkit (https://www.youtube.com/watch?v=eVud8llb_W0) - A talk on how to supercharge your app with Genkit.
- Accelerating Generative AI App Development with Flutter & Genkit (https://speakerdeck.com/coborinai/accelerating-generative-ai-app-development-with-flutter-and-firebase-genkit) - Slides from a presentation at FlutterGakkai, a Flutter conference
in Japan, showcasing how to integrate Genkit with Flutter for rapid generative AI app development.
- Dart client for Genkit: Call Genkit Flows from Flutter/Dart - Slides (https://speakerdeck.com/coborinai/dart) - Slides from a lightning talk at Google I/O Extended Tokyo 2025, introducing the Dart client library for calling Genkit flows from 
Flutter/Dart applications.
- Dart client for Genkit: Call Genkit Flows from Flutter/Dart - Video (https://youtu.be/AakdczWQLzY?si=S5aT29miICHWQepM) - Video from a lightning talk at Google I/O Extended Tokyo 2025, introducing the Dart client library for calling Genkit flows
from Flutter/Dart applications.

Videos
- Getting started with Genkit/JS 1.0 (https://www.youtube.com/watch?v=3p1P5grjXIQ) - Learn how to get started with Genkit/JS 1.0.
- Getting started with Genkit (outdated) (https://www.youtube.com/watch?v=M8rfDySBBvM) - A video tutorial on how to get started with Genkit.
- What are Genkit flows? (outdated) (https://youtu.be/ONR38NZK5FE) - Flows are a key concept in Genkit. Learn what makes them special, and how to use them.
- Build an Angular app with Genkit and deploy to Firebase (outdated) (https://youtu.be/TGHua_RtUjs) - Join Pavel as he builds an Angular app and deploys it to Firebase.
- DeepDive #1 - Genkit's reflection API and how it powers Genkit's developer UI (outdated) (https://youtu.be/CGVBR8quZac) - Learn how the Genkit developer UI communicates with Genkit through the reflection API.
- Retrieval Augmented Generation (RAG) with Genkit (outdated) (https://youtu.be/p8ZlYAmbWHE) - Learn how to efficiently parse PDFs, convert their content into searchable vectors using Genkit's local vector store, and implement a re-ranker to 
pinpoint the most relevant documents for your queries.
- Firebase After Hours #3 - Genkit: More than Meets the AI! (outdated) (https://youtu.be/VFPsp7aURWA?t=152s) - Hang out with Nohe and Peter to learn more about Genkit, Google's open source AI integration framework. With special guest Pavel 
Jbanov, lead engineer on the Genkit team.
- Firebase After Hours #4 - Genkit: Tooltime (outdated) (https://youtu.be/01XOIhh2ibA) - Learn how to give LLMs superpowers by conneting the to the real world using tool calling.

Articles

- Extracting structured data from PDFs using Gemini 2.0 and Genkit (https://firebase.blog/posts/2025/02/gemini-genkit-pdf-structured-data) - Learn how to extract structured data from PDFs using Gemini 2.0 and Genkit 1.0.
- Genkit in Node, Building a Weather Service with AI Integration (https://xavidop.me/firebase/gcp/2025-02-28-firebase-genkit-node-tool/) - Explore how to build a weather service using Genkit in Node.js using Express, GitHub Models and Tools.
- Build Genkit Node.js apps with Dash Agents (https://medium.com/firebase-developers/build-firebase-genkit-nodejs-apps-with-dash-agents-skip-the-docs-258e067b3fdc) - A step-by-step guide to building Genkit Node.js apps by leveraging Dash Agents.
- Genkit with Gemma using Ollama (https://xavidop.me/firebase/gcp/2024-05-24-firebase-genkit-ollama/) - Firebase project that uses the Gen AI Kit with Gemma using Ollama.
- Master Gemma2 and Genkit (https://medium.com/firebase-developers/how-to-develop-using-the-gemma2-model-in-genkit-085f22ce68f3) - Learn how to integrate Gemma2 with Genkit.
- Unleash the Power of Function Calling with Genkit (https://medium.com/firebase-developers/implementing-function-calling-using-genkit-0c03f6cb9179) - Learn how to implement function calling using Genkit.
- Unlocking the power of code execution in Genkit (https://medium.com/firebase-developers/getting-started-with-code-execution-in-genkit-c5391b45b321) - Learn how to integrate Python code within Genkit.
- Understanding Genkit flows with Czech language tricks (https://dev.to/denisvalasek/understanding-genkit-flows-with-czech-language-tricks-26i3) - Learn how to work with Genkit flows and use the features of Genkit UI.
- Orchestrating Firebase and AI: 8 Genkit Architecture Patterns (https://medium.com/@nozomi-koborinai/orchestrating-firebase-and-ai-8-genkit-architecture-patterns-12e44db40345) - A guide to 8 architecture patterns for integrating Firebase and AI 
using Genkit.
- High-Precision Responses with Genkits Google Search Integration (https://medium.com/firebase-developers/high-precision-responses-with-genkits-google-search-integration-7f142f5c9693) - Learn how to integrate Google Search with Genkit.
- How to Develop Firebase functions with Genkit (https://medium.com/@nozomi-koborinai/how-to-develop-firebase-genkit-functions-2677b386a227) - A practical guide to efficient local testing of Firebase Functions with Genkit Firebase product 
integrations.
- Genkit for Go Developers: A Guide to Building LLM Applications (https://medium.com/@yukinagae/firebase-genkit-for-go-developers-a-guide-to-building-llm-applications-f96c51c34b10) - A getting started guide for Go developers using Genkit.
- Orchestrating Firebase and AI: Genkit architecture example (https://docs.google.com/presentation/d/10F2hjzJhdInSuhDQ8G_B2raGz79mzTRIcWU_59Zh5Y8/edit?usp=sharing) - Presented in a lightning talk at GDG DevFest Tokyo 2024.
- Getting Started with AI Image Generation Apps on Flutter, Genkit, and Imagen 3 (https://medium.com/@nozomi-koborinai/getting-started-with-ai-image-generation-apps-on-flutter-genkit-and-imagen-3-9a83c63cbdf3) - A guide to building an AI image 
generation app using Flutter, Genkit, and Google's Imagen 3.
- Extending Your AI Application with Genkit MCP (https://medium.com/@nozomi-koborinai/extending-your-ai-application-with-genkit-mcp-475d7533ca9e) - Learn how to integrate Google Maps using Genkit MCP client to query MCP servers for enhanced 
location-based AI features.
- Genkit vs Agent Development Kit (ADK): Choosing the Right Google‑Backed AI Framework (https://medium.com/@nozomi-koborinai/genkit-vs-agent-development-kit-adk-choosing-the-right-google-backed-ai-framework-1744b73234ac) - A comparison of two 
Google-backed AI frameworks, helping developers choose the right tool for their needs.
- Dart Client for Genkit: Call Genkit Flows from Flutter/Dart (https://medium.com/@nozomi-koborinai/dart-client-for-genkit-call-genkit-flows-from-flutter-dart-b5a2c9b9400e) - A comprehensive guide to using the Dart client library for calling 
Genkit flows from Flutter and Dart applications with streaming support and type safety.

Tutorials

- Slack Bot App (https://medium.com/firebase-developers/build-a-slack-bot-app-with-firebase-genkit-in-just-100-lines-71d4e49c9e08) - A tutorial on how to build a Slack Bot App with Genkit.



Follow



- Firebase (https://x.com/firebase) - Official Twitter account for Firebase.
- Genkit Discord server (https://discord.gg/qXt5zzQKpc) - Official Discord server for Genkit.
- Genkit GitHub (https://github.com/firebase/genkit) - Official GitHub repository for Genkit.
- The Fire Company (https://github.com/TheFireCo) - The Fire Company GitHub organization.

Contributors

Thanks goes to these contributors (https://github.com/xavidop/awesome-genkit/graphs/contributors)!

firebasegenkit Github: https://github.com/xavidop/awesome-firebase-genkit