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On October 25, 2026, Harrison Chase and Caspar Broekhuizen of LangChain published a post summarizing the core components of a company-level Agent harness. Using LangChain's three internal agents for marketing, sales, and engineering—GTM Agent, OpenSWE, and Content Studio—as examples, the article distills five shared components: agents are placed in existing workplaces such as Slack; a distinction is made between acting on behalf of users and a fixed identity; global and user-level memory are set up as two tiers; code is executed within a sandbox; and many runs are triggered by schedules or events. The article also explains how the three handle identity, memory, and code execution specifically, and notes that all three are built on Managed Deep Agents. A subsequent Chinese-language report recounted the five common foundations described above and added that Managed Deep Agents is layered on top of the open-source Deep Agents harness, preserving room to customize agent behavior. At present, this summary still takes the official LangChain blog post as its original source.
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LangChain summarizes the five components of a company-level Agent harnessDevelopments
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LangChain summarizes the core components of an enterprise-grade Agent harness
Source:LangChain Blog
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Oct 26
Shao Meng
LangChain summarizes the five components of a company-level Agent harness
Based on its own three internal Agent systems—GTM, OpenSWE, and Content Studio—LangChain summarized five common foundational pieces of a company-level harness: Slack as the collaboration entry point; distinguishing OBO and service account identities by Agent and tool; two-tier memory at the global and user levels; the Agent itself outside the sandbox while code executes inside the sandbox and accesses authentication services via a secret proxy; and a large number of tasks triggered by schedules or events. All three Agent systems are built on Managed Deep Agents, which layers on top of the open-source Deep Agents harness and preserves room for customizing Agent behavior.
Oct 25
LangChain BlogFirst-partySelected
LangChain summarizes the five components for building company-level agents
Harrison Chase and Caspar Broekhuizen of LangChain published an article summarizing the five core components shared by its three internal agents for marketing, sales, and engineering: agents live in existing workplaces such as Slack, a distinction between acting on behalf of users and a fixed identity, global and user-level memory, code execution within a sandbox, and a large number of runs triggered by schedules or events. The article uses GTM Agent, OpenSWE, and Content Studio as examples to explain their specific approaches to identity, memory, and code execution, all three of which are built on Managed Deep Agents.
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