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This launch is a product release for deploying LLM agents built on an open-source, model-agnostic harness, with configuration for models, instructions, skills, MCP tools, and sandboxes. For AI readers, the main points are portability and control: memory and orchestration stay in the user's hands rather than a single vendor's stack, though the real-world value will depend on production reliability and how well the open components hold up outside the launch demo.
Surse care acoperăLangChain Blog, AWS, Cybersecurity News, InfoQ

Deep Agents Deploy: an open alternative to Claude Managed Agents

LangChain Blog4 min de cititArticolul și perspectiva sunt în engleză.

Today we’re launching Deep Agents deploy in beta. Deep Agents deploy is the fastest way to deploy a model agnostic, open source agent harness in a production ready way.

Today we’re launching Deep Agents deploy in beta. Deep Agents deploy is the fastest way to deploy a model agnostic, open source agent harness in a production ready way. Deep Agents deploy is built for an open world. It’s built on Deep Agents - an open source, model agnostic agent harness. Harnesses are intimately tied to memory, which means that by choosing an open harness you are choosing to own your memory, and not have it be…

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