langchain-ai 是一个活跃的开源组织,专注于构建多种编程语言的项目,包括 Python 和 TypeScript。其知名的公共存储库如 langchain 和 langgraph 为开发者提供了强大的代理工程平台和构建弹性代理的工具,展示了其在领域中的广泛影响力。
The agent engineering platform.
Build resilient agents.
The batteries-included agent harness.
The agent engineering platform
OpenWiki is a CLI that writes and maintains agent documentation for your codebase.
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An Open-Source Asynchronous Coding Agent
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Fully local web research and report writing assistant
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📃 A better UX for chat, writing content, and coding with LLMs.
LangChain 🔌 MCP
Framework to build resilient language agents as graphs.
🦜💬 Web app for interacting with any LangGraph agent (PY & TS) via a chat interface.
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📲 An agent for sourcing, curating, and scheduling social media posts with human-in-the-loop.
LangChain + Next.js starter template
Build an email assistant with human-in-the-loop and memory
LangServe 🦜️🏓
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The batteries included agent harness.
For your multi-agent needs
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Readymade evaluators for your LLM apps
🦜⛏️ Did you say you like data?
LangSmith Client SDK Implementations
Expose llms-txt to IDEs for development
LangGraph template for a simple ReAct agent
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Readymade evaluators for agent trajectories
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Learn about the fundamentals of LangGraph through a series of notebooks
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Build LangGraph agents with large numbers of tools
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Unified LangChain documentation.
🦜🔗 LangChain interfaces to Google's suite of AI products (e.g. Gemini & Vertex AI)
Build LangChain Applications on AWS
LangGraph Studio template for creating an agent that does web research to genearte or enrich structured data.
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An implementation of a computer use agent (CUA) using LangGraph
A general-purpose coding agent that runs inside an NVIDIA OpenShell sandbox, orchestrated by Deep Agents and powered by NVIDIA Nemotron. The agent writes and executes code in an isolated, policy-governed Linux environment.
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Resources for the LangSmith Academy Course
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Build secure LangChain applications on Azure
Integrations between MongoDB, Atlas, LangChain, and LangGraph
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Open-source paid media agent for Google Ads, Meta Ads, Reddit, LinkedIn, X, and OpenAI Ads: analysis, reports, and reviewed changes, built on Deep Agents.
Repository hosting Langchain helm charts.
A coding agent-first CLI for interacting with LangSmith.
Elasticsearch integration into LangChain
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Empty langgraph project template.
LangSmith plugins for Claude Code
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🦜🔗 LangChain interface to LiteLLM
Documentation and examples around LangChain's streaming capabilities.
Workshop series teaching the AI Engineering Lifecycle using LangChain, LangGraph, and LangSmith
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LangChain Academy Course on Deep Agents
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LangSmith Java SDK.
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LangSmith Post-Training CLI
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Repository containing langchain terraform modules
Managed deepagents
A repository of curated code snippets and examples of common design patterns, features and best practices for building powerful, context-rich applications with LangGraph and LangSmith
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LangChain, DeepAgents, and LangSmith workshops
LangSmith plugin for OpenAI Codex
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A CLI tool to help users migrate data from their LangSmith cloud/self-hosted workspaces
Shared design system for LangChain products
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Self-contained code export for LangSmith Fleet deep agents
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LangSmith plugins for Cursor
LangSmith JavaScript SDK.
Homebrew tap for LangChain formulae and casks
Shared build, sign, notarize and publish pipeline for the LangSmith plugin repos
Langsmith Python SDK
langchain-ai 在 GitHub 上构建了多个开源项目,主要集中在代理工程和深度学习领域。其知名存储库包括 langchain 和 langgraph 等,提供了多种功能强大的工具供开发者使用。
langchain-ai 主要使用 Python 和 TypeScript 进行开发,此外还涉及 Jupyter Notebook、Go、Rich Text Format 和 Shell 等语言。这些语言为其项目的多样性和功能性提供了支持。
是的,langchain-ai 的所有存储库都是公开的,任何人都可以访问和使用这些资源。这种公开性促进了社区的参与和合作,增强了其项目的可见性和影响力。