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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
OpenWiki is a CLI that writes and maintains agent documentation for your codebase.
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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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Build an email assistant with human-in-the-loop and memory
An open-source, no-code agent building platform.
Custom UI for Deep Agents
Reference implementations of several LangChain agents as Streamlit apps
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For your multi-agent needs
The batteries included agent harness.
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Readymade evaluators for your LLM apps
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📥 An inbox UX for interacting with human-in-the-loop agents.
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Expose llms-txt to IDEs for development
LangSmith Client SDK Implementations
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
Build LangGraph agents with large numbers of tools
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🦜🔗 LangChain interfaces to Google's suite of AI products (e.g. Gemini & Vertex AI)
Unified LangChain documentation.
A managed RAG API server.
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.
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🧍♂️LLM as a manager for approval processes.
fullstack chat agent with authentication, request credits and payments built in
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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
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Repository hosting Langchain helm charts.
A coding agent-first CLI for interacting with LangSmith.
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🦜🔗 LangChain interface to Weaviate
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Documentation and examples around LangChain's streaming capabilities.
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🦜🔗 LangChain interface to LiteLLM
Workshop series teaching the AI Engineering Lifecycle using LangChain, LangGraph, and LangSmith
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Example realtime voice agent built with Google ADK and deepagents
LangChain Academy Course on Deep Agents
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Managed deepagents
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Repository containing langchain terraform modules
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A CLI tool to help users migrate data from their LangSmith cloud/self-hosted workspaces
LangSmith plugin for OpenAI Codex
A generic researcher
Cross-tool plugin marketplace for deepagents-code (dcode), Claude Code, and OpenAI Codex — LangChain & LangSmith skills and MCP servers
OpenCode plugin for LangSmith
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LangSmith PI Extension
LangSmith plugins for Cursor
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Homebrew tap for LangChain formulae and casks
HyperLogLog implementations.
Rust port of the Go implementation of DDSketch
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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