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 controlling the exact content that goes into the LLM, as well as running the appropriate steps to generate relevant content. * Agentic systems consist of both| LangChain Blog
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 pursued it and instead let others (LangFlow, Flowise, n8n) build on top of us. With OpenAI launching a workflow builder at Dev Day yesterday, I| LangChain Blog
“What we’ve got here is failure to communicate” - Cool Hand Luke (1967) Communication is the hardest part of life. It’s also the hardest part of building LLM applications. New hires always requires a lot of communication when first joining a company, no matter how smart they may| LangChain Blog
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” and fail to plan and act over longer, more complex tasks. Applications like “Deep Research”, “Manus”, and “Claude Code” have gotten around this limitation by| LangChain Blog
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 that the LLM can plausibly accomplish the task. Most of the time when an agent is not performing reliably the underlying cause is that the| LangChain Blog
This is our second post focused on UX for agents. We discuss ambient background agents, which can handle multiple tasks at the same time, and how they can be used in your workflow.| LangChain Blog
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 this post I will dive deeper into UX for agents. Thanks to Nuno Campos, LangChain founding engineer for many of the original thoughts and analogies| LangChain Blog
The fourth installment in our "In the Loop Series," in which we talk about what planning means for an agent and how to improve it.| LangChain Blog
The second installment in our "In the Loop" series, focusing on what cognitive architecture means.| LangChain Blog
