In the Loop

Reflections on Three Years of Building LangChain

by Harrison Chase Almost exactly 3 years ago, I pushed the first lines of code to langchain as an open source package. There was no

In the Loop 6 min read

Not Another Workflow Builder

By Harrison Chase One of the most common requests we’ve gotten from day zero of LangChain has been a visual workflow builder. We never

In the Loop 4 min read

Deep Agents

Using an LLM to call tools in a loop is the simplest form of an agent. This architecture, however, can yield agents that are “shallow”

In the Loop 3 min read

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

In the Loop 5 min read

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

In the Loop 6 min read

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

In the Loop 8 min read

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

In the Loop 20 min read

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

In the Loop 4 min read

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

In the Loop 5 min read

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

In the Loop 7 min read

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

In the Loop 5 min read

UX for Agents, Part 3: Spreadsheet, Generative, and Collaborative UI/UX

Learn about spreadsheet UX for batch agent workloads, Generative UI, and collaborative UX with agents.

In the Loop 4 min read