awesome-LangGraph and awesome-langchain
These are complementary resources, with `von-development/awesome-LangGraph` serving as a specialized index focusing on the LangChain + LangGraph ecosystem, while `kyrolabs/awesome-langchain` provides a broader overview of the entire LangChain framework, making the former a more focused resource within the domain covered by the latter.
About awesome-LangGraph
von-development/awesome-LangGraph
An index of the LangChain + LangGraph ecosystem: concepts, projects, tools, templates, and guides for LLM & multi-agent apps.
This is a curated index for professionals building and managing AI agents that use large language models (LLMs). It provides a comprehensive map of frameworks, tools, and real-world project examples to help you develop, monitor, evaluate, and deploy sophisticated AI agent applications. You'll find resources covering everything from initial prototyping to managing production systems, including various community projects grouped by use case such as web automation, finance, or research.
About awesome-langchain
kyrolabs/awesome-langchain
😎 Awesome list of tools and projects with the awesome LangChain framework
This is a curated list of tools and projects built using the LangChain framework. It helps developers discover existing resources, from low-code platforms and services to open-source projects and learning materials, for building applications that leverage large language models (LLMs). Developers can explore various implementations and integrations to accelerate their LLM project development.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work