Managed Deep Agents
Content Studio built on Managed Deep Agents LangChain uses Managed Deep Agents Managed Deep Agents integrates with Slack Schedules SDK is part of Managed Deep Agents Managed Deep Agents are hosted using LangSmith Deployments More than 70% of Managed Deep Agents runs on LangSmith Muse is an example of Managed Deep Agents Instinct is an example of Managed Deep Agents Dots is an example of Managed Deep Agents Claude Duet is an example of Managed Deep Agents Hone is an example of Managed Deep Agents Managed Deep Agents use Slack as a source of information to monitor Managed Deep Agents v0.10 runs the browser in its own LangSmith sandbox. Managed Deep Agents v0.10 uses Slack as an agent channel for handoff. Managed Deep Agents v0.10 uses Studio as an agent channel for handoff. Managed Deep Agents v0.10’s subagent definition uses the GPT-5.5 model from OpenAI. Managed Deep Agents v0.10 runs its browser in a LangSmith sandbox. Managed Deep Agents runs the browser in its own LangSmith sandbox. Managed Deep Agents lets you build and deploy agents in LangSmith without running any infrastructure. Managed Deep Agents provides the browser tool browser_snapshot. Managed Deep Agents provides the browser tool browser_run. Managed Deep Agents calls the browser_handoff tool when the agent hits a login page. browser.py imports the define_browser function from managed_deepagents.· Graphiti 生成的实体摘要
关系变化
按生效时间- Managed Deep AgentsUSES MODELGPT-5.5
Managed Deep Agents v0.10’s subagent definition uses the GPT-5.5 model from OpenAI.
- Managed Deep AgentsRUNS INLangSmith
Managed Deep Agents v0.10 runs the browser in its own LangSmith sandbox.
- Managed Deep AgentsUSESSlack
Managed Deep Agents v0.10 uses Slack as an agent channel for handoff.
- Managed Deep AgentsRUNS BROWSER INLangSmith Sandboxes
Managed Deep Agents runs the browser in its own LangSmith sandbox.
- Managed Deep AgentsBUILDS AND DEPLOYS AGENTS INLangSmith
Managed Deep Agents lets you build and deploy agents in LangSmith without running any infrastructure.
- Managed Deep AgentsPROVIDES TOOLbrowser_run
Managed Deep Agents provides the browser tool browser_run.
- Managed Deep AgentsCALLS TOOLbrowser_handoff
Managed Deep Agents calls the browser_handoff tool when the agent hits a login page.
- Managed Deep AgentsPROVIDES TOOLbrowser_snapshot
Managed Deep Agents provides the browser tool browser_snapshot.
- browser.pyIMPORTS MODULEManaged Deep Agents
browser.py imports the define_browser function from managed_deepagents.
- Managed Deep AgentsRUNS ONLangSmith
More than 70% of Managed Deep Agents runs on LangSmith
- MuseIS EXAMPLE OFManaged Deep Agents
Muse is an example of Managed Deep Agents
- OpenAI’s DotsIS EXAMPLE OFManaged Deep Agents
Dots is an example of Managed Deep Agents
- Managed Deep AgentsUSESSlack
Managed Deep Agents use Slack as a source of information to monitor
- Schedules SDKIS INCLUDED INManaged Deep Agents
Schedules SDK is part of Managed Deep Agents
- Claude DuetIS EXAMPLE OFManaged Deep Agents
Claude Duet is an example of Managed Deep Agents
- Managed Deep AgentsHOSTED ONLangSmith Deployments
Managed Deep Agents are hosted using LangSmith Deployments
- HoneIS EXAMPLE OFManaged Deep Agents
Hone is an example of Managed Deep Agents
- InstinctIS EXAMPLE OFManaged Deep Agents
Instinct is an example of Managed Deep Agents
- LangChainUSESManaged Deep Agents
LangChain uses Managed Deep Agents
- Content StudioBUILT ONManaged Deep Agents
Content Studio built on Managed Deep Agents
- Managed Deep AgentsINTEGRATES WITHSlack
Managed Deep Agents integrates with Slack
- Managed Deep AgentsUSESStudio
Managed Deep Agents v0.10 uses Studio as an agent channel for handoff.
- Managed Deep AgentsRUNS INLangSmith
Managed Deep Agents v0.10 runs its browser in a LangSmith sandbox.
关系是 Graphiti 从报道中提取的事实陈述,不是原文引述;失效时间表示后来的报道显示这条关系已不成立。
相关事件 2
来源报道 4
- Managed Deep Agents v0.10:浏览器使用和异步子代理LangChain Blog · 2026-10-30
- LangChain 发布浏览器功能,Managed Deep Agents 可直接在浏览器中构建智能体LangChain Blog · 2026-10-29
- 如何使用 Managed Deep Agents 的 Schedules SDK 构建主动、始终在线的代理LangChain Blog · 2026-10-29
- LangChain 如何构建设计智能体 Content Studio:从捕捉品味到异步子代理的完整实践LangChain Blog · 2026-10-28