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LangChain, operating under the GitHub username langchain-ai, maintains a significant public presence with a wide range of repositories focused on agent engineering. The organization primarily uses languages such as Python and TypeScript, with notable projects including langchain and langgraph, which are designed to build resilient agents and facilitate agent engineering tasks.
The agent engineering platform.
Build resilient agents.
The batteries-included agent harness.
The agent engineering platform
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An Open-Source Asynchronous Coding Agent
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
LangServe 🦜️🏓
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An open-source, no-code agent building platform.
Build an email assistant with human-in-the-loop and memory
Custom UI for Deep Agents
Reference implementations of several LangChain agents as Streamlit apps
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For your multi-agent needs
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The batteries included agent harness.
🦜⛏️ Did you say you like data?
Readymade evaluators for your LLM apps
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📥 An inbox UX for interacting with human-in-the-loop agents.
Expose llms-txt to IDEs for development
LangSmith Client SDK Implementations
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LangGraph template for a simple ReAct agent
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Readymade evaluators for agent trajectories
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Build LangGraph agents with large numbers of tools
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Learn about the fundamentals of LangGraph through a series of notebooks
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🦜🔗 LangChain interfaces to Google's suite of AI products (e.g. Gemini & Vertex AI)
Unified LangChain documentation.
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Build LangChain Applications on AWS
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LangChain abstractions backed by Postgres Backend
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LangGraph Studio template for creating an agent that does web research to genearte or enrich structured data.
🧍♂️LLM as a manager for approval processes.
An implementation of a computer use agent (CUA) using LangGraph
This repo is deprecated. Please go to langchain-ai/docs.
A bot with memory, built on LangGraph Cloud.
Resources for the LangSmith Academy Course
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.
Assistant for voice-to-blog writing
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Build secure LangChain applications on Azure
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Integrations between MongoDB, Atlas, LangChain, and LangGraph
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CLI to generate LangGraph stubs from a specification
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Repository hosting Langchain helm charts.
🦜🔗 LangChain interface to Weaviate
A coding agent-first CLI for interacting with LangSmith.
The LangChain wrapper of Milvus vector database for efficient vector search, full-text search, hybrid retrieval and RAG.
LangSmith plugins for Claude Code
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🦜🔗 LangChain interface to LiteLLM
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LangGraph Typescript Agents Notebooks: email, human in the loop, memory
Documentation and examples around LangChain's streaming capabilities.
🚚 REPOSITORY MOVED 🚚 - new location: https://github.com/langchain-ai/langgraphjs/tree/main/libs/langgraph-supervisor
DataStax Astra DB integration with LangChain
LangSmith Java SDK.
Build LangChain applications with Pinecone
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Three voice-agent backends (LiveKit, OpenAI Realtime, Google ADK Live) sharing one console interface, each instrumented for LangSmith
Repository containing langchain terraform modules
A CLI tool to help users migrate data from their LangSmith cloud/self-hosted workspaces
Public organization profile
A collection of handy scripts and utilities for everyday development and system tasks.
Self-contained code export for LangSmith Fleet deep agents
LangSmith plugin for OpenAI Codex
LangChain x Llama Stack
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Example JS monorepo for deploying to LangGraph Platform
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Langchain-ai builds a variety of projects related to agent engineering on GitHub. Notable repositories include langchain, langgraph, and deepagents, which provide tools and frameworks for creating and managing intelligent agents.
Langchain-ai predominantly uses Python and TypeScript for its repositories. Other languages include Jupyter Notebook, Shell, and Go, catering to various aspects of agent development and research.
Yes, all repositories under the langchain-ai organization are public. This allows users and developers to access, contribute to, and utilize the organization's projects focused on agent engineering.
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