The rise of "context engineering" Header image from Dex Horthy on Twitter. Context engineering is building dynamic systems to provide the right information and tools in the right format such
How and when to build multi-agent systems Late last week two great blog posts were released with seemingly opposite titles. “Don’t Build Multi-Agents” by the Cognition team, and “How we built
The Hidden Metric That Determines AI Product Success Co-authored by Assaf Elovic and Harrison Chase. You can also find a version of this post published on Assaf's Medium. Why do some
How to think about agent frameworks TL;DR: * The hard part of building reliable agentic systems is making sure the LLM has the appropriate context at each step. This includes both
How do I speed up my AI agent? I get this question a bunch. Developers generally first spend time getting the agent to work, but then they turn their attention to speed and
MCP: Flash in the Pan or Future Standard? Model Context Protocol (MCP) is creating quite the stir on Twitter – but is it actually useful, or just noise? In this back and forth, Harrison
Introducing Interrupt: The AI Agent Conference by LangChain Join us this May at Interrupt, LangChain’s inaugural conference where the future of AI agents takes center stage.
Introducing ambient agents Most AI apps today follow a familiar chat pattern ("chat" UX). Though easy to implement, they create unnecessary interaction overhead, limit the ability
Communication is all you need “What we’ve got here is failure to communicate” - Cool Hand Luke (1967) Communication is the hardest part of life. It’s also the
LangChain's Second Birthday Reflections on how LangChain has evolved — including our products, ecosystem, and community — over the past two years, and where we're headed next.
Memory for agents At Sequoia’s AI Ascent conference in March, I talked about three limitations for agents: planning, UX, and memory. Check out that talk here. In
Build stateful conversational AI agents with LangGraph and assistant-ui TL;DR: assistant-ui is an embeddable AI chat frontend for React applications. It supports streaming, generative UI, human-in-the-loop, and other UX paradigms crucial for agentic
