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langchain
The agent engineering platform.
138kstars
22.8kforks
Python
agentsaiai-agentsanthropicchatgptdeepagentsenterpriseframeworkgeminigenerative-ailangchainlanggraph
Quality signals
ActiveNo testsNo CIThin docsNo licensePopular
AI summary
Auto-generated overview of what this skill does and when to reach for it.
A framework for building applications and agents powered by large language models with modular components and third-party integrations.
Use this when
- You need to chain LLM calls with external tools or data sources
- You want to swap models or components without rewriting logic
- You're prototyping an AI agent with planning or multi-step workflows
- You need to integrate chat models, embeddings, or vector stores
- You're debugging or evaluating LLM application behavior
Don't use when
- For simple one-off LLM prompts without workflows
- If you only need a single model call with no tool integration
- When your app doesn't require external data or state management
Capabilities
- Chains together LLM calls with external tools and data sources
- Provides standard interfaces for models, embeddings, and vector stores
- Supports modular components for rapid prototyping and iteration
- Includes built-in integrations with 100+ model providers and tools
- Offers high-level chains and low-level components for different needs
- Integrates with LangSmith for debugging and observability
Install
Universal installANY TOOL
$ npx skillcity@latest langchain-ai/langchainAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Prefer to set it up by hand? Clone the repository:
git clone https://github.com/langchain-ai/langchain.git
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