LangSmith for Startups Spotlight: @corridor@corridor uses LangSmith to develop + run novel agentic security evaluations, build + trace inference pipelines, and manage memory graphs that provide specialized context across various product surfaces.
Get a demo:
@𝚕𝚊𝚗𝚐𝚌𝚑𝚊𝚒𝚗/𝚖𝚌𝚙-𝚊𝚍𝚊𝚙𝚝𝚎𝚛𝚜 2.0 is out! 🧵
Using MCP with your TypeScript agents up to MCP servers just got a lot simpler: support for the latest stateless version of MCP, tools that can check in with your users when they need something, much easier auth
LangChain Academy Course Update: Introduction to Deep Agents.
Deep Agents makes it easier to build agents, Managed Deep Agents lets you deploy them with a single CLI command. We introduce Managed Deep Agents and show you how to deploy an agent in Slack.
Check it out today:
Adding routing to your agent? Here's where to start:
1️⃣ Understand the tasks
2️⃣ Understand the models
3️⃣ Build the router in the harness
4️⃣ Track task outcomes
An inside look at how to build a model router in the harness, and how we cut our median cost per thread by 64% with no
