Managed Deep Agents is now in Public Beta

Managed Deep Agents is a public beta service from LangSmith that enables developers to create Deep Agents in Python or TypeScript, test them locally, and deploy them to a managed LangSmith runtime through a CLI. Built on the open-source, model-agnostic Deep Agents harness, it lets teams retain control over models, prompts, tools, middleware, subagents, and business logic while LangSmith manages operational infrastructure such as durable execution, persistence, streaming, sandbox lifecycle, memory, scheduling, channels, identity, deployment, tracing, and evaluations. Agent projects are organized as code-first repositories with configurable instructions, tools, memory, identities, skills, sandbox settings, channels such as Slack, and Harbor-based evaluations that can assess tool use and workspace state. The service is intended for long-running, stateful agents that may require code execution, human approval, multi-user context, or persistent memory, while users needing custom application routes, direct persistence control, or self-operated infrastructure are directed to LangSmith Deployment or the open-source harness. The beta is initially limited to LangSmith Cloud in the US region and a CLI-first workflow.

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