We raised $125M to build the platform for agent engineering.

👐Use gpt-oss with `deepagents` Deep Agents require good tool calling capabilities... something that OpenAI's new open source model is pretty good at Thanks to Ryan Eggleston for adding an example how to use gpt-oss (via ollama) to `deepagents` Docs: github.com/hwchase17/de...

🤖📚 Context Engineering Guide A comprehensive guide on evolving from prompt to context engineering. LangGraph's agent framework gives developers precise control over LLM execution and context management, optimizing AI performance. Learn more at medium.com/ai-artistry/...

Context Engineering "Context engineering" is a key part of agent building. We review a few popular patterns for context engineering + explain how to use them w/ LangGraph. Blog: blog.langchain.com/context-engine… Video: youtu.be/4GiqzUHD5AA

🔬 OpenAI just released new deep research models. 🤖 You can build agents with those models TODAY in langgraph!

🔬You can use openai's new deep research models with langchain-openai!

🔍 Elasticsearch + LangGraph RAG LangGraph's new Retrieval Agent Template integrates with Elasticsearch to build powerful RAG applications, featuring flexible LLM options, debugging tools, and query prediction. Learn more on Elastic's blog 👉 www.elastic.co/search-labs/...

Prompt engineering UX improvement ✨ Turn your prompt into a reusable template by adding variables. Just highlight any part of the text and assign it a name to convert it into a variable!

🤖LangGraph+ Tensorlake: Unlocking Document Understanding for Agents When creating agents that interact with data, the connections you have to that data matter Excited to announce an integration Tensorlake - a best in class document ingestion engine www.tensorlake.ai/blog/announc...

🎙️🤖 Local AI Podcast Generator Transform text into multilingual podcasts with this AI system! Built using LangChain + Ollama, it combines text summarization and speech generation for seamless podcast creation. Check out the tutorial here youtu.be/h5D4rDNe8xk

🔍 GPT Researcher MCP GPT Researcher now leverages LangChain's Model Context Protocol adapters for intelligent tool selection and research. Seamlessly combines MCP with web search capabilities for comprehensive data gathering. Check out the integration docs! 📚 docs.gptr.dev/docs/gpt-res...

Excited to partner with Microsoft to make AI safer and more accessible for open source and enterprises!

🤖 Gemini x LangGraph Google integrates Gemini with LangGraph, enabling developers to build AI agents through advanced processing and stateful workflows. The collaboration streamlines agent development with sophisticated reasoning and tool execution.

🔬 DeerFlow: Deep Research Framework An open-source framework for conducting systematic deep research through coordinated LangGraph agents. Enables comprehensive literature analysis, data synthesis, and structured knowledge discovery. GitHub Repository: github.com/bytedance/de...

🖥️ New version of Gemini 2.5 Pro! Google just released a new version of Gemini 2.5 Pro with distinct strengths in coding, especially UIs, including new video-to-code features and improved agentic capabilities. Try it out in LangChain!

🎥🤖 Multi-Modal RAG with Gemma 3 Build a powerful RAG system that processes mixed-content PDFs using Google's Gemma 3 and LangChain. This implementation combines PDF processing with multi-modal support, powered by Streamlit and Ollama. Check out the tutorial 📚 www.youtube.com/watch?v=hBDN...

🔌📊 MCP Server Tutorial Learn to build MCP servers that process stock market data using FastMcp and LangChain. This comprehensive guide demonstrates how to create ReAct agents with LangGraph for standardized data access. 📺 Check out the tutorial: www.youtube.com/watch?v=3K39...

✏️ How to Create a RAG Agent with Reflection 🔍 RAG is a powerful technique that supplies your agent with external information, and can improve agent performance. However, relying on RAG alone, agents can often pull in irrelevant documents to the user question.

🔍 Shandu AI Research A system that generates cited reports using LangGraph workflows. Features intelligent scraping, multi-source synthesis, and parallel processing to streamline research tasks. Check out this research tool 📚 github.com/jolovicdev/s...

🤖🎨 Open Multi-Agent Canvas A powerful platform that unifies multiple AI agents in one chat interface. Built with LangGraph, it seamlessly connects specialized agents and external services through MCP integration. GitHub link in reply 👇

🤖📚 Gemini ReACT Guide Phil Schmid just released a guide showing how to build reasoning agents using Google's Gemini 2.5 and LangGraph, featuring examples for audio analysis, function calls, and structured data. Explore the guide! 🔍 Guide link in reply 👇

🔐🤖 Secure AI Assistant Learn to build production-ready AI assistants that securely interact with Gmail using LangGraph.js and Auth0. Features secure tool-calling, real-time streaming, and complete authentication integration. Explore the full tutorial in reply 👇

🧠 o3 and o4-mini Today OpenAI released o3 and o4-mini with enhanced reasoning capabilities. Try them out in LangChain, and check out our updated docs (in thread) on generating reasoning summaries to learn more!

GPT-4.1! OpenAI released a new series of models today that outperform GPT-4o and 4o-mini across the board. Try them out in LangChain!

⚡ FastAPI LangGraph Agent Template Production-ready template for building secure AI agents with FastAPI and LangGraph. Features Docker support, monitoring tools, and multi-LLM compatibility through LangChain's ecosystem. Start building production agents 🔧 github.com/wassim249/fa...

🧠 Reasoning with Grok 3 Mini xAI's latest release includes Grok 3 Mini, a lightweight reasoning model. Try it out with the latest langchain-xai release!

🦜❎ xAI Grok 3 in LangChain xAI has released its newest and most powerful model, Grok 3. Try it out in LangChain!

🤖📚 DeepSeek-R1 Guide Learn to build RAG applications with DeepSeek-R1, an open-source alternative to OpenAI. This guide demonstrates local and cloud implementations using LangChain's document processing tools. Check out the full guide: dev.to/pavanbelagat...

🤖 Build AI Agents Tutorial Learn to create AI agents and chatbots with LangGraph. This hands-on guide covers essential concepts like Nodes, States, and Edges, featuring code examples and a full GitHub repository. Start building your AI agents today 👉 levelup.gitconnected.com/learn-how-to...

Understanding multi-agent handoffs Handoffs are a central concept in multi-agent systems. LangGraph swarm is built on them. But, they can be hard to understand. Here, we break-down the swarm handoff mechanism. 📽️: youtu.be/WTr6mHTw5cM

🧬 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.

🤖 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! 🔨 medium.com/data-science...

TrustCall: Reliable Structured Outputs When producing structured outputs. LLMs can fail w/ complex schemas or schema updating. Below we review Trustcall (c/o WHinthorn), a lib to help address these challenges. 💻: github.com/hinthornw/tr... 📹: youtu.be/NFpfH83O4nQ

LangGraph BigTool How can agents use *many* tools reliably? One approach: use retrieval to fetch tools for the agent "on demand". We show it's reliable enough to work w/ local models (via ollama) w/ > 50 tools. 💻: github.com/langchain-ai... 📽️: youtu.be/3ISRS2hQlfI

Debugging w/ LangGraph Studio LangGraph Studio is an IDE for visualizing + debugging agents. Here, we show two workflows to 1) isolate errors and 2) pause + review at specific steps. In both, we show how to make + test code changes with Studio. 📽️ youtu.be/5vEC0Y4sV8g

💻 LangGraph CodeAct A new library for implementing CodeAct architecture used by Manus. CodeAct allows agents to solve complex tasks in fewer steps by generating and executing Python code instead of tool calling. Watch the video youtu.be/M8E5VekVVss Try it out with `pip install langgraph-codeact`

💻👾LangGraph Prebuilt Computer Use Agent We just launched a prebuilt graph for using OpenAI's computer use model, with scrapybara via LangGraph! Using it is as simple as setting your API keys, and passing in an input! Watch the demo video, and use the Python package today 👇

🛍️ E-commerce AI Agents A new integration combines Gen AI Toolbox and Dgraph with LangChain to power intelligent e-commerce agents, enabling AI-driven product search and personalized shopping experiences. Dive into the implementation details 🚀 cloud.google.com/blog/topics/...

🎓🔬 LangManus Framework An open-source research project leveraging LangChain and LangGraph to create a powerful multi-agent system with seven specialized agents for complex AI tasks. Check out the project 👉 github.com/langmanus/la...

🔌 MCP Adapters Released! Introducing our new TypeScript library that connects Anthropic's MCP tools with LangChain.js & LangGraph.js, featuring multi-server support and seamless agent integration. 📦 Install now: npm i @ langchain/mcp-adapters www.npmjs.com/package/@lan...

🦜🤖LangManus You had to know it was coming! This community effort attempts to replicate Manus using the LangStack (LangChain + LangGraph) Still early innings - but check it out here! github.com/langmanus/la...

🦜🔨LangGraph Builder Build the "cognitive architecture" of your agent in a UI, and generate code stubs! Video tutorial: youtu.be/iwPeT_I_GEc Try it out here: build.langchain.com OSS as well: Frontend: github.com/langchain-ai... CLI: github.com/langchain-ai...

Understanding MCP From Scratch MCP is an open protocol connecting AI models w/ data + tools. Here, we explain how it works, build an MCP server for LangGraph docs from scratch, and connect it to Claude / Cursor / Windsurf. 📽️: youtu.be/CDjjaTALI68

🎥🤖 YT Navigator An open-source AI that transforms YouTube channels into searchable, chat-enabled knowledge bases. Built with LangGraph's ReAct framework, it delivers precise timestamp-based answers from video content. Check it out on GitHub 🚀 github.com/wassim249/YT...

🧑‍💻Native Generative UI Support in LangGraph We've added native support for building generative UI applications in LangGraph! With our new API, you can colocate UI components with your LLM agent nodes, then load them on the client without any overhead! Watch the video 👇

🤖🦜 OpenAI Responses API in LangChain.js Use built-in tools for web search grounding, file search or message persistence right in LangChain.js npm install @ langchain/openai@next

🦜💬Introducing Agent Chat UI An OSS web app for interacting with any LangGraph app (PY & JS/TS) via a chat interface Agent Chat can render: - Human/AI Messages - Tool Calls/Results - Human in the Loop - Generative UI (tomorrow 👀) Watch the video, and try it out today

🔍 Build a Deep Research Agent An autonomous research agent built with LangGraph that combines GPT-4 and Tavily AI to perform parallel research and generate structured reports, all through sophisticated state management. 🚀 Check out the implementation: www.analyticsvidhya.com/blog/2025/02...

🗄️🤖 Text-to-SQL Guide Build an AI system that turns natural language into SQL queries using LangChain Agents and SQLDatabaseToolkit. This comprehensive tutorial takes you from setup to deployment with practical database examples.

🤖💬 Build Ava: WhatsApp AI Agent Create a production-ready AI companion in WhatsApp using LangGraph. This comprehensive course teaches you to build an agent with multi-modal capabilities (text, voice, images) and long-term memory. 🚀 Build your AI companion: github.com/neural-maze/...