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LangChain has open-sourced its design agent Content Studio and the harness that supports it. According to the LangChain Blog, the agent was built by LangChain's GTM engineering team in collaboration with the design team on Managed Deep Agents, runs inside Slack, and can generate videos, social graphics, UI mockups, and slide decks; it has already produced more than 3,000 assets and over 80 slide decks. The article breaks down its four-layer knowledge structure (skills, wiki, code validation, memory), the per-Slack-thread LangSmith Sandbox, the two rendering engines HyperFrames and the in-house motion-studio, and how the main agent orchestrates asynchronous sub-agents. The team says that after migrating to Managed Deep Agents, its own code shrank by about 80%, and the median model cost per request fell from about $8 in mid-September to about 50 cents. After open-sourcing, users can fork it and attach their own branding, then deploy it to their team's Slack via Managed Deep Agents.
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LangChain open-sources Slack design Agent Content Studio and its harnessDevelopments
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- Source:LangChain Blog
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Oct 28
Shao Meng
LangChain open-sources Slack design Agent Content Studio and its harness
LangChain has open-sourced Content Studio, a design Agent within Slack, along with the harness that supports it; after forking, teams can attach their own branding and deploy it to their team's Slack via Managed Deep Agents. The article states that since August it has delivered 3,000+ assets (including 80+ PPTs), the median model cost per request has dropped from about $8 in mid-September to about $0.50, and after migrating to Managed Deep Agents its own code volume was reduced by about 80%. In terms of approach, designer judgment is written into skills, a wiki, and code gates; each Slack thread is equipped with a persistent sandbox, and subtasks are dispatched asynchronously to avoid blocking the main thread.
LangChain BlogFirst-partySelected
How LangChain Built the Design Agent Content Studio
LangChain's GTM engineering team, working with the design team, built Content Studio, a design agent inside Slack, on Managed Deep Agents. It can generate videos, social graphics, UI mockups, and slide decks, and has already produced more than 3,000 assets and over 80 slide decks. The article breaks down its four-layer knowledge structure (skills, wiki, code validation, memory), the dedicated LangSmith Sandbox for each Slack thread, the two rendering engines HyperFrames and the in-house motion-studio, and how the main agent orchestrates asynchronous sub-agents. The team says that after migrating to Managed Deep Agents, its own code shrank by about 80%, the median model cost per request fell from about $8 in mid-September to about 50 cents, and the entire harness has been open-sourced.