LangChain

Due to high demand, we just added more two-day tickets for Interrupt, LangChain’s first-ever AI agent conference ?? interrupt.langchain.com Calling all AI engineers, researchers, and engineering leaders — we’re offering the following: ?? 1-day ticket (May 14th only) —?Be the first to experience new product features with our keynote, followed by fireside chats, expert talks, lightning demos, and more. We’ll wrap up with an afterparty. ?? 2-day ticket (May 13 & 14th) — All the above, plus hands-on workshops run by the LangChain team. Limited availability on a first-come, first-serve basis. Early bird pricing ends in one week, so grab your ticket now! ?? interrupt.langchain.com

???? Redis x LangGraph Memory The new langgraph-checkpoint-redis integration enables AI agents with persistent memory, featuring thread-level preservation and cross-thread memory with vector search capabilities. Enhance your AI agents with advanced memory - check it out! ?? https://lnkd.in/gkE5VVSy

?? SRAgent: Genomics AI Tool Meet the open-source tool revolutionizing genomic research by using LangChain's multi-agent system to automate complex biological data processing and RNA sequencing workflows from scientific databases. Explore this powerful research tool on GitHub! ?? https://lnkd.in/gbryGGAW

???? Qodo Gen: AI-Powered IDE Plugin Qodo.ai just released an IDE plugin that combines LangGraph orchestration with Model Context Protocol to enable intelligent, AI-driven development workflows. Explore the technical details ?? https://lnkd.in/dwtvR9pD

?? AI Agent Building Guide Learn to build powerful text analysis agents with LangGraph in this practical tutorial. Create agents that can classify, extract, and summarize content - with complete implementation examples. Ready to build your first AI agent? Check it out! ?? https://lnkd.in/ej98PZPD

Using `langgraph-checkpoint-redis`, you can bring Redis's powerful memory capabilities to your LangGraph agents. Persist context across conversations with thread-level and cross-thread memory, plus built-in vector search. Learn more: https://lnkd.in/gkE5VVSy

? C.H. Robinson – one of the world’s largest logistics providers – saves 600+ hours a day with tech they built using LangGraph, LangGraph Studio, and LangSmith. ? C.H. Robinson manages 37 million global shipments annually by ocean, air, rail, and truck, tackling logistics challenges of all complexities. Using LangGraph, LangGraph Studio, and LangSmith, they built proprietary AI to automate routine email transactions, dramatically cutting manual data entry and accelerating shipment processes.??? ? Today, C.H. Robinson automates about 5,500 orders daily, saving over 600 hours per day. Learn more about C.H. Robinson’s generative AI efforts??? https://lnkd.in/gTra8PXh

With LangChain + Glean, your AI agents gain secure, real-time access to enterprise data. See how Glean supports Agent Protocol and LangGraph — so developers can seamlessly connect to tools and agents in order to collaborate in the enterprise. Read more: https://lnkd.in/gvC4W4PM

?? How We Built It - Fireside Chat with Harrison & Waseem Alshikh (Co-Founder & CTO @ Writer)??? Waseem and Harrison will take you behind the scenes to explore how leading brands are successfully deploying and scaling AI agents—and what enterprises are really looking for in today’s AI landscape. Hear hot takes about fine-tuning, build vs. buy, evaluating LLM apps, and more! Watch the video??? https://lnkd.in/gjVkvhnR

?? End-to-End OpenTelemetry support in LangSmith LangSmith now offers full E2E OTel support for applications built with LangChain or LangGraph. This enables: ?? Unified observability to see app performance across your stack in one cohesive view ?? Distributed tracing to track requests across microservices ?? Ability to send traces to other observability tools ?? Learn more: https://lnkd.in/gTV3BGWp ?? See the docs: https://lnkd.in/gV2riErt