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LangChain, represented by the username langchain-ai, has a significant public presence on GitHub, primarily in the realms of Python and TypeScript. Their notable repositories include langchain, langgraph, and deepagents, which focus on agent engineering and related technologies, showcasing a wide range of projects and contributions.
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 builds various projects on GitHub, primarily focusing on agent engineering. Their repositories, including langchain and langgraph, contain tools and frameworks for developing resilient and effective agents.
The primary programming languages used by langchain-ai include Python and TypeScript, along with Jupyter Notebook, Go, and Shell. This diverse language usage supports a wide array of projects and functionalities.
Yes, all repositories under the langchain-ai GitHub account are public. This transparency allows users and developers to access, contribute to, and learn from their extensive collection of projects.
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