LangChain

Health v2 · maintenance only

Adoption not part of the score

148099 stars · 24856 forks observed · 2026-10-20

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.97

LangChain is an open-source Python library for building LLM-powered applications and autonomous agents. It provides composable components, integrations, and tooling to simplify AI development and orchestration.

Use cases

• Create a conversational chatbot that uses OpenAI's GPT models.
• Build an autonomous research assistant that can retrieve documents, summarize them, and answer questions.
• Develop a workflow automation agent that interacts with APIs, databases, and file systems.
• Implement a retrieval‑augmented generation system that combines vector search with LLM responses.
• Prototype a planning agent that breaks down complex tasks into sub‑tasks and executes them.

When to choose

• You need a flexible framework to compose LLM calls, tools, and memory for custom agents.
• You want extensive integrations with popular LLM providers, vector stores, and APIs.
• You prefer a Python ecosystem with strong community support and documentation.

When to avoid

• You are looking for a lightweight, single‑function LLM client without orchestration features.
• Your project requires a non‑Python implementation without a comparable library.
• You need strict real‑time performance guarantees that a high‑level framework may not provide.

Facets

library · maturity active

agent-framework llm-inference prompt-engineering rag api-framework artificial-intelligence large-language-models python cross-platform windows langchain openai anthropic gemini deep-agents langgraph ai-agents retrieval-augmented-generation linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="langchain-ai/langchain")