Topics / #llm-framework

LLM framework projects on GitHub

Frameworks for building applications and agents powered by large language models.

As of , the most-starred LLM framework projects on GitHub are langchain (148.1K stars), autogen (61.5K stars) and dspy (38.7K stars). GitHub.Locker tracks 5 LLM framework repositories with 272.2K stars combined. The fastest-growing on October 18 was langchain, with +60 stars in a day.

5Projects
272.2KStars in total
+107Stars in a day
Browse in the catalog →github.com/topics/llm-framework ↗

Hot right now

Most stars gained in a day · Oct 18

+60

langchain

langchain-ai/langchain · ★ 148.1K

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.

+26

autogen

microsoft/autogen · ★ 61.5K

AutoGen is a Microsoft framework for building multi-agent AI applications where agents can act autonomously or work alongside humans.

+14

dspy

stanfordnlp/dspy · ★ 38.7K

DSPy is a Python framework for programming — rather than prompting — language models: you build modular AI systems in code, and its algorithms automatically optimize the prompts and weights.

+7

PocketFlow

The-Pocket/PocketFlow · ★ 11.3K

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.

The all-time top

5 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.

    148.1K
  2. #2 · microsoft/autogen

    autogen

    AutoGen is a Microsoft framework for building multi-agent AI applications where agents can act autonomously or work alongside humans.

    61.5K
  3. #3 · stanfordnlp/dspy

    dspy

    DSPy is a Python framework for programming — rather than prompting — language models: you build modular AI systems in code, and its algorithms automatically optimize the prompts and weights.

    38.7K
  1. 4

    PocketFlow-Tutorial-Codebase-Knowledge

    12.7KThe-Pocket/PocketFlow-Tutorial-Codebase-Knowledge · Python

    A tool that crawls a GitHub repository (or local directory), analyzes the codebase with an LLM to find core abstractions and how they interact, and turns that analysis into a beginner-friendly tutorial with visualizations.

  2. 5

    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.

Often tagged together