LangChain lists five components for company agent harnesses from its internal agents
Article timeline
The articles in this story. Times are ET.
EntendreXEntendre explains four capabilities of its Overlook agent harnessAIEntendre says its internal agent harness, Overlook, includes Slack code channels, dynamic schedules, self-modification, and decision models that teams can apply to their own harnesses. Overlook opens a Slack channel for each complex task and sets its own follow-up schedules, with timing based on CI, reviews, SLAs, or deadlines named by users. A small decision model answers up to 25 yes-or-no questions per call, which Entendre uses for security triage and similar checks.
meng shaoXLangChain outlines five building blocks for company-wide agent harnessesAILangChain says its GTM, engineering, and marketing internal agents share five common components for a company harness: Slack-based entry points, per-tool identity handling (on-behalf-of versus service accounts), global and per-user memory, sandboxed code execution with a secret proxy, and scheduled or event-triggered ambient agents. The company says all of these are built on Managed Deep Agents, which sits on top of the open-source Deep Agents harness.
Hamel HusainXHamel Husain says two of three company harness agents are marketing relatedAIHamel Husain says two of the three agents in a company's harness are marketing-related. He adds that this split feels right.
Harrison ChaseXLangChain explains five components for building a company harness for internal agentsAILangChain says its internal GTM, OpenSWE, and Content Studio agents share five core primitives: a home in Slack, user-aware identity, two-tier memory, sandboxed code execution, and scheduled runs. It describes handling identity by acting on behalf of the invoking user for some tools and using fixed credentials for others, and says all three agents are built on Managed Deep Agents. The author frames these components as a general recipe for company harnesses.
- LangChain BlogOfficialPickLangChain explains five components for building a company agent harness
AILangChain describes five core components for a company harness, based on its internal GTM Agent, OpenSWE, and Content Studio agents. The post covers Slack-based user experience, identity handling on behalf of users or with fixed credentials, two-tier memory, sandboxed code execution, and scheduled background runs. All three agents are built on Managed Deep Agents, which sits on the open source Deep Agents harness.