Deep Agents v0.6 brings Delta channels, reducing checkpoint storage by up to 100x for long-running agents, without sacrificing observability or resilience. Here’s a 200-turn coding agent session.
Without Delta Channels: 5.3GB of checkpoint storage
With Delta Channels: 129mb
@langchain
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Deep Agents v0.6 Introduces Delta Channels for 100x Checkpoint Storage Reduction
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Using Traces to Build Production Agent Evaluations
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@AdamRLucek on how we use traces to build evals for production agents. -
LangChain Academy: Build AI Agents with LangSmith Fleet Essentials
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LangChain Academy Course: LangSmith Fleet Essentials Learn how to build your own agents with LangSmith Fleet. Anyone can now build, use, and manage an agent fleet for complex daily tasks, without writing code. In this quickstart course, you'll learn how to build and improve
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LangSmith Engine Accelerates Self-Optimizing AI Loops
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LangSmith Engine makes your self-optimizing loops spin faster and faster
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The Unpredictable Nature of AI Agents in Production
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The hardest truth about building agents? You don’t know what they’ll do until they’re in production… pic.twitter.com/PnPrX7nuUz
— LangChain (@LangChain) 21 mai 2026The hardest truth about building agents? You don’t know what they’ll do until they’re in production…
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Databox Evaluates Multi-Turn Analyst Agent Genie Using LangSmith
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@DataboxHQ uses LangSmith to evaluate their multi-turn analyst agent Genie. An inside look: https://
databox.substack.com/p/how-we-evalu
ate-a-multi-turn-agent
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Building Applications with Streaming AI Agents
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Streaming agents should feel like building applications, not parsing logs.
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Auth Proxy: Controlling Agent Behavior Boundaries
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Introducing the sandbox Auth Proxy: A way to control the boundary between agent-generated behavior and the rest of the world. An explainer from @hwchase17
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Streamlined AI Agent Deployment: Init to Live Endpoint
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One config file. One deploy command. Everything else is managed. deepagents init → deepagents deploy → live endpoint. Full breakdown here
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Managed Harness for AI Agents: Deepagents, Model-Agnostic, One-Line Deploy
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A managed harness: Built on the `deepagents` harness Durable execution out of the box Model-agnostic One-line deploy- no Dockerfile, no infra glue