LangChain
Learn more about how to build agents with LangChain products.
Channel created: April 12, 2023
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Agent Observability Explained
When something goes wrong in traditional software, you know what to do: check the error logs, look at the stack trace, find the line of code that failed. But AI agents have changed what we're debu...
The Secret to Scalable AI Agents: Virtual Filesystems with Deep Agents
Your AI agent sees one filesystem. Under the hood? S3, SQLite, and local disk, all working together. In this video, I show how Deep Agents uses virtual filesystems to give your agent a unified int...
What AI Agents Talk About on Moltbook
Wonder what your AI Agents are talking about on Moltbook? With LangSmith Insights Agent you can look at all the posts out there and see different trends and topics! 1. Scrape posts 2. Upload to La...
Introducing: LangSmith Agent Builder
LangSmith Agent Builder enables anyone to build agents using natural language: - Describe your goal in your own words. Agent Builder figures out the approach. - It creates detailed instructions, se...
Introducing /remember: Teaching Agents to Learn from Experience
🧠Shipping /remember in the Deep Agents CLI: a primitive for persistent agent memory How it works: - inject a reflection prompt into your conversation thread - agent analyzes full context + identi...
LangChain Academy New Course: LangSmith Agent Builder
LangSmith Agent Builder enables anyone to build agents for complex daily tasks, without writing code. It’s simple. You start by describing the goal in your own words. Agent Builder determines the ...
LangSmith Agent Builder Technical Highlights
Six technical features central to LangSmith Agent Builder: 1. It's built on the Deep Agents harness 2. The agent is a filesystem 3. Memory is built in 4. Triggers let them act autonomously 5. Super...
3 Hidden Features That Make AI Agents Production-Ready
In this video I walk through 3 less-known features that make agentic apps feel actually production-ready, using real code from the LangGraphJS repository. 📚 What you’ll learn - Render reasoning to...
Building with Subagents: Design Decisions
The subagents multi-agent pattern is straightforward—but the implementation details really matter for performance. In this video we break down the design decisions that determine whether your syst...
Choosing the Right Multi-Agent Architecture
When do you actually need a multi agent system? And how should you decide what architecture to use? In this video we break down 4 architectural patterns (subagents, skills, router, and handoffs) w...