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LangChain Blog

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Site URL: blog.langchain.dev/

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Posts: 11

Followers: 26

Your harness, your memory

Published: April 11, 2026 14:52

Agent harnesses are becoming the dominant way to build agents, and they are not going anywhere. These harnesses are intimately tied to agent memory. If you used a closed harness - especially if it’s behind a proprietary API - you are choosing to yield…

Human judgment in the agent improvement loop

Published: April 9, 2026 15:00

AI agents work best when they reflect the knowledge and judgment your team has built over time. Some of that is institutional knowledge that’s already documented and easy for an agent to use as-is. But most great organizations also rely on tacit knowledge…

Better Harness: A Recipe for Harness Hill-Climbing with Evals

Published: April 8, 2026 19:30

By Vivek Trivedy, Product Manager @ LangChain💡TL;DR: We can build better agents by building better harnesses. But to autonomously build a “better” harness, we need a strong learning signal to “hill-climb” on. We share how we use evals as that signal, plus…

Deep Agents v0.5

Published: April 7, 2026 17:06

💡TL;DR: We’ve released new minor versions of deepagents & deepagentsjs, featuring async (non-blocking) subagents, expanded multi-modal filesystem support, and more.See the changelog for details.Async subagentsDeep Agents can now delegate work to remote…

Arcade.dev tools now in LangSmith Fleet

Published: April 7, 2026 14:59

Arcade is the MCP runtime for production agents, delivering secure agent authorization, reliable tools, and governance. This integration gives your agents access to Arcade’s collection of 7,500+ agent-optimized tools through a single secure gateway.

Continual learning for AI agents

Published: April 5, 2026 21:46

Most discussions of continual learning in AI focus on one thing: updating model weights. But for AI agents, learning can happen at three distinct layers: the model, the harness, and the context. Understanding the difference changes how you think about…

How My Agents Self-Heal in Production

Published: April 3, 2026 17:01

I built a self-healing deployment pipeline for our GTM Agent. After every deploy, it detects regressions, triages whether the change caused them, and kicks off an agent to open a PR with a fix, with no manual intervention needed until review time.

Open Models have crossed a threshold

Published: April 2, 2026 17:51

💡TL;DR: Open models like GLM-5 and MiniMax M2.7 now match closed frontier models on core agent tasks — file operations, tool use, and instruction following — at a fraction of the cost and latency. Here's what our evals show and how to start using them