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  • All entries83,164
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9 Apr 2026Human judgment in the agent improvement loop

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. Bu

ToolLangChain4 recent entries
8 Apr 2026Better Harness: A Recipe for Harness Hill-Climbing with Evals

By Vivek Trivedy, Product Manager💡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

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→9 Apr 2026Previewing Interrupt 2026: Agents at Enterprise Scale

Interrupt 2026 is LangChain's second annual AI agent conference, scheduled for May 13–14 at The Midway in San Francisco, focused on the question of how to deploy and operate AI agents at enterprise...

→9 Apr 2026Human judgment in the agent improvement loop

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. Bu

→11 Apr 2026Your harness, your memory

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 b