Deep Agents Deploy: an open alternative to Claude Managed Agents

LangChain launched Deep Agents Deploy in beta as an open-source, model-agnostic alternative to Anthropic's Claude Managed Agents. It is designed to be the fastest way to deploy a model-agnostic, open-source agent harness in a production-ready way, built on a fully MIT-licensed harness available in Python and TypeScript. It uses open standards including AGENTS.md for agent instructions and Agent Skills for specialized knowledge, and integrates with every model provider — including open models — with no Anthropic lock-in. Unlike Claude Managed Agents, which is described as a walled garden creating significant lock-in, Deep Agents Deploy gives developers full ownership of their memory and infrastructure, spinning up 30+ endpoints covering MCP for tool calls, A2A for multi-agent setups, and human-in-the-loop guardrails.

🚀Deep Agents deploy Today we’re launching Deep Agents deploy in beta. Deep Agents deploy is the fastest way to deploy a model agnostic, ope…
Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance …
if you want claude's managed agents w/o model provider lock in, this is the path! deepagents deploy lets you deploy an agent built on our …
Deep Agents or @LangChain? Just use the right tool for the right job
> which is exactly why we believe memory should live outside of model providers open harness = open memory which everyone should want!
The easiest way to deploy your agent. One command, instant deployment: deepagents deploy

Source: model-releases

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