おすすめツイート
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,…
Inside LangSmith's No Code Agent Builder We built a no code agent builder, and our team is breaking down why we did it + what's powering it under the hood. In our latest roundtable discussion, Harrison and the engineering team behind LangSmith Agent Builder sit down to discuss:…
Introducing LangSmith Agent Builder 🤖🧱 A true agent building experience (not workflows!!), all through a simple natural language interface. Describe your agent to "build" it, then interact with it via chat, or add an automatic trigger. Connect your agents to any MCP server,…
LangSmith Agent Builder is our no code agent builder for anyone to create an agent, now available in private preview. This is not a workflow builder. Built on our Deep Agents architecture, LangSmith Agent Builder handles planning, memory, and sub-agents automatically. This means…
🤖deepagents: the open source, multi-model agent harness We're releasing 0.2 of deep agents, with a big addition: a "backend" abstraction This lets you swap the filesystem you use from a local filesystem to a remote VM to a database to anything blog: blog.langchain.com/doubling-down-…
📣 I'm giving a talk tomorrow at @_odsc west on context engineering w/ LangChain + LangGraph! 📄 Perhaps the biggest news with the LC + LG V1 releases is the rollout of our new, unified docs site. Check out our guide on context engineering w/ agents as a preview!…
⭐️ New LangChain Academy Course: LangGraph Essentials (Python & TypeScript)⭐️ Learn the basics of LangGraph – our low-level orchestration framework purpose-built for building AI agents. Last week, we launched LangGraph 1.0, marking its first major stable release. LangGraph…
🔥 New LangChain Academy Course: LangChain Essentials (Python & TypeScript) 🔥 Learn the basics of LangChain – our open source framework that makes it easy to start building agents with any model provider. Last week, we released LangChain 1.0. We’ve completely rewritten…
🐍💬 Chatsky: Pure Python Dialog Framework A framework for building conversational services in pure Python, featuring a dialog graph system that integrates with LangGraph. Includes backend support for building sophisticated AI applications. Explore the framework…
🔒 Custom LLM Integration A production-ready solution that seamlessly integrates private LLM APIs into LangChain and LangGraph 1.0.0+ applications. Features authentication flows, logging, tool integration, and state management. 👉 Explore the full implementation:…
🔍🤖 Enterprise Deep Research A multi-agent system leveraging LangGraph to power enterprise research automation. Features real-time streaming, human-guided steering, and flexible deployment through web and Slack interfaces. Explore EDR on GitHub 📚 github.com/SalesforceAIRe…
Our team is joining @TrustVanta for AI Demo-ish Day in San Francisco—expect early experiments, messy prototypes, and creative sparks. The behind-the-scenes stuff that actually matters. Food, drinks, and an amazing community of agent engineers! Limited spots →…
🍔🤖 MCP Burger Agent A production-ready AI agent system built with LangChain.js that seamlessly handles burger ordering through MCP tools, web interfaces, and serverless APIs. Explore the demo and code 👉 github.com/Azure-Samples/…
🤖Agent Framework vs Runtime vs Harness A term I've heard recently is agent "harness". We're building DeepAgents to be that I wrote a blog on my interpretation of that term and how it differs from "framework" (LangChain) and "runtime" (LangGraph) blog.langchain.com/agent-framewor…
🤖💻 NVIDIA's Natural Language Bash Agent NVIDIA just released a tutorial showing how to build an AI terminal assistant that converts natural language to Bash commands using Nemotron and LangGraph. Build your own here 🔧 developer.nvidia.com/blog/create-yo…
🧠 OpenMemory: AI Memory Engine An open-source memory system enhancing LLM apps through LangGraph integration. Features structured memory with 2-3× faster recall and 10× lower costs than hosted solutions. Check it out 🔍 github.com/CaviraOSS/Open…
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