Topics / #ai-framework

AI framework projects on GitHub

Inference runtimes and frameworks for building AI applications.

As of , the most-starred AI framework projects on GitHub are langchain (148K stars), mastra (28.9K stars) and onnxruntime (22.1K stars). GitHub.Locker tracks 6 AI framework repositories with 245.4K stars combined. The fastest-growing on October 16 was langchain, with +71 stars in a day.

6Projects
245.4KStars in total
+117Stars in a day

Hot right now

Most stars gained in a day · Oct 16

The all-time top

6 projects · by stars

  1. #1 · langchain-ai/langchain

    langchain

    LangChain is a framework for building agents and LLM-powered applications: it chains together interoperable components and third-party integrations to simplify AI app development.

    148K
  2. #2 · mastra-ai/mastra

    mastra

    Mastra is a TypeScript framework for building AI-powered applications and agents, designed to take you from early prototypes to production-ready products.

    28.9K
  3. #3 · microsoft/onnxruntime

    onnxruntime

    ONNX Runtime is a cross-platform, high performance ML accelerator for inference and training. It runs models from PyTorch, TensorFlow/Keras and classical ML libraries like scikit-learn, LightGBM and XGBoost.

    22.1K
  1. 4

    serve

    21.9Kjina-ai/serve · Python

    Jina is an open-source Python framework for building multimodal AI applications on a cloud-native stack — you wrap models into gRPC microservices, chain them into flows, and scale from local to cloud.

  2. 5

    eino

    13.3Kcloudwego/eino · Go

    Eino is an LLM/AI application development framework for Go, drawing design ideas from LangChain and Google ADK. It provides reusable components (ChatModel, Tool, Retriever, ChatTemplate), an agent development kit, and a composition engine to build graphs and workflows for AI apps.

  3. 6

    PocketFlow

    11.3KThe-Pocket/PocketFlow · Python

    Pocket Flow is a minimalist 100-line LLM framework built around a single Graph abstraction, letting you build agents, workflows, and RAG pipelines without heavy dependencies or vendor lock-in.

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