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LangChain

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Learn more about how to build agents with LangChain products.

Channel created: April 12, 2023

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Tracing Claude Code to LangSmith

Curious what Claude Code is doing behind the scenes? Or want observability into critical workflows that you’ve set up with Claude Code With our new Claude Code → LangSmith integration, you can vie...

Approaches for Managing Agent Memory

Humans refine their skills and learn preferences through experience. But many AI agents lack this capacity for continual learning. Here, we give an overview of memory in the DeepAgents CLI. Here, w...

LangChain Academy New Course: Introduction to LangChain - Python

Learn how to build with LangChain – our open source framework that makes it easy to start building agents with any model provider. In this course, you’ll create agents that can reason, use tools, ...

Build an MCP Agent with Claude: Dynamic Tool Discovery Across Cloudflare MCP Servers

In this video, Christian Bromann build and demo an agent that uses LLM provider native tools—specifically Anthropic Claude’s built-in MCP toolsets—to connect to Cloudflare’s managed MCP servers. I...

The agent development loop with LangSmith + Claude Code / Deepagents

LangSmith provides a system of record for traces, which can include long agent trajectories. Code agents like Claude Code or Deep Agents CLI can make use of traces to improve agent performance via ...

I Let an AI Control My Browser to Play Tic-Tac-Toe - LangChainJS Tutorials

What if an AI could **actually use the browser** — not through brittle scripts, but by *seeing* the UI and deciding where to click? In this video, I explain how modern **agent tools** work and dem...

Building & Observing a Deep Agent for Email Triage with LangSmith

In this video, we walk through how to build and observe a deep agent using LangSmith. We’ll build a simple email assistant that reads incoming emails and decides how to handle them — triage, respo...

Observing & Evaluating Deep Agents Webinar with LangChain

Explore the unique challenges of observing and evaluating Deep Agents in production. Deep Agents represent a shift in how AI systems operate – unlike simple chatbots or basic RAG applications, thes...

Trace OpenRouter Calls to LangSmith — No Code Changes Needed

OpenRouter's new Broadcast feature lets you send all your traces directly to LangSmith with no code changes required — whether you’re tracing with LangChain, provider SDKs, or the OpenRouter SDK. ...

LangSmith Fetch: CLI tool to debug agents from your terminal

Learn how to debug agents from your terminal using LangSmith Fetch, the new CLI that brings LangSmith trace data directly into your workflow. Pull traces and threads into your terminal or IDE with ...