langchain

🦜🔗 The platform for reliable agents.

126.6k
Stars
+7.2k
Gained
6.1%
Growth
Python
Language

💡 Why It Matters

LangChain addresses the need for reliable AI agents by providing a robust framework that simplifies the development and deployment of machine learning applications. This is particularly beneficial for ML and AI teams looking to integrate AI capabilities into their projects. With over 126,000 stars, it demonstrates strong community support and is considered a production-ready solution, suitable for enterprise-level applications. However, it may not be the right choice for teams requiring highly specialised or niche AI functionalities that are not covered by the framework.

🎯 When to Use

LangChain is a strong choice when teams need a comprehensive open source tool for engineering teams focused on building AI-driven applications efficiently. Teams should consider alternatives when their projects require highly customisable solutions or specific AI capabilities that LangChain does not support.

👥 Team Fit & Use Cases

This framework is primarily used by machine learning engineers, data scientists, and AI developers. It is commonly integrated into products and systems that require conversational agents, automated workflows, and intelligent data processing.

🎭 Best For

⚖️ Compare With

🏷️ Topics & Ecosystem

agents ai ai-agents anthropic chatgpt deepagents enterprise framework gemini generative-ai langchain langgraph llm multiagent open-source openai pydantic python rag

📊 Activity

Latest commit: 2026-02-14. Over the past 96 days, this repository gained 7.2k stars (+6.1% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.