LangChain

We raised $125M to build the platform for agent engineering. Thank you to our investors (@IVP, @sequoia, @benchmark, @AmplifyPartners, @SapphireVC, @CapitalG, and more) for their belief in us, and to our customers like @Replit, @clay, @TrustVanta, @Cloudflare, @Rippling, @Cisco,…

Agent Engineering with LangChain 1.0 (Community hosted event) @AIMakerspace is hosting an event to walk through the recent 1.0 announcement! Expect walkthroughs of the agent engineering ecosystem, from simple to complex luma.com/7zyeu70f

📊🤖 Stock Research Agent V3 (Made by the LangChain Community) An AI platform transforming financial research, leveraging LangGraph and LangSmith for agent collaboration and real-time monitoring while delivering 73% cost savings. Check it out on GitHub! 🚀…

📅🤖 Event Deep Research (Made by the LangChain Community) An AI-powered system that generates historical timelines using LangGraph's multi-agent architecture. Automatically researches and compiles comprehensive JSON timelines of significant life events. Explore this…

💰🔧 TokenCrush for LangGraph (Made by the LangChain Community) TokenCrush extension reduces LangGraph application costs by up to 90% while preserving meaning. Integrates with LangGraph to optimize RAG pipelines and production AI apps with minimal code changes. Discover how to…

⌨️ AMA w/ @hwchase17! 🗓️ Nov 13 (8AM PST) → Nov 14 (6PM PST) 📍 LangChain Forum Ask about:  • LangChain → LangSmith → LangGraph ⚙️  • Oct launches & new features 🆕  • Future of agents 🔮✨ Drop questions now 👇 forum.langchain.com/t/im-harrison-… RSVP for reminders:…

SUPER EXCITED to be working with @privy_io on wallets to enable agentic commerce! fun collab between @MaxSegall and @j_schottenstein -- crypto + ai agents in 1 household coming together for a partnership 🤝

1/ AI agents can now pay with stablecoins. We’ve teamed up with @LangChainAI, the leading agent framework, to seamlessly provision wallets for agents so they can transact onchain. Stablecoins are programmable money. Privy makes them safe for agents to use. Here's how 👇

🧑‍🔬 Building a Typescript deep research agent In this video, we will walk through how to easily build a Typescript deep research agent This builds upon our new DeepAgents library All it involves is some detailed prompting, some search tools, and some specialized sub agents…

Excellent walkthrough of how to build a streaming agent in @nextjs using LangChain. Clear explanation of server-sent events, UI streaming, and memory via thread IDs. If you’re evaluating production agent architectures, this is a strong reference implementation. 👇 Watch the…

🤖 Deep Agents JS Deep Agents is now available in JS! Written on top of LangChain and LangGraph 1.0, this brings the power of agents harnesses to the JS ecosystem Comes with planning tools, subagents, and filesystem access Try it out now: npm i deepagents Repo:…

As we've consolidated our docs and shipped 1.0 versions of LangChain and LangGraph, we also rebuilt Chat LangChain from the ground up — now cleaner, faster, and more accurate. Chat LangChain is a chatbot that answers questions about LangChain resources, including our docs and…

Over the next few weeks we'll be releasing a series of deep dive videos into our new prebuilt agent middlewares. We're starting off with one the most popular middlewares, human-in-the-loop! Require approval on sensitive tool calls before execution in just 1 LOC!

Why we built LangSmith for improving agent quality As more agents move into production, teams need to move beyond vibe-checking and bring rigor to how they understand agent behavior at scale. In this video, the LangSmith engineering team and Harrison (@hwchase17) sit down to…

🤖 Synapse: Multi-Agent AI Platform (Made by the LangChain Community) A versatile platform featuring intelligent agents that seamlessly handle web searches, task automation, and complex data analysis through natural language interactions. Explore the project on GitHub 🔗…

🏦 AI Bank Statement Analyzer (Made by the LangChain Community) Transform bank statements into queryable financial insights using AI. This system combines YOLO and LangChain's RAG to enable natural language analysis of your personal finances. Check it out here ⚡…

🧠 MaxKB AI Agents (Made by the LangChain Community) MaxKB is an open-source platform that builds enterprise AI agents using LangChain-powered RAG and workflows. It features multi-modal support and seamless integration with both private and public LLMs. Check it out here 🚀…

🖥️ Langrepl CLI (Made by the LangChain Community) A sophisticated terminal tool for building LLM agents with deep agents, featuring persistent conversations and LangGraph Studio integration for visual debugging. Key Features: - Deep Agent Architecture - Visual debugging…

🌏 Korean Documentation for V1.0 Our V1.0 ecosystem now includes complete Korean language documentation, covering Framework, LangGraph, and LangSmith to empower Korean-speaking developers in agent engineering. Explore our Korean docs at kr.langchain-docs.com 📚 Made by the…

🤖🔐 OpenAgent Framework A framework for deploying verifiable AI agents on the Open network, focusing on DeFAI and DeSci domains. Built with compute verification for critical operations and rapid agent deployment. Explore the framework 👉 github.com/webisopen/Open… Made by the…