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Managed Deep Agents

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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.· Entity summary generated by Graphiti

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4Source reports
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BY VALID-FROM DATE
  1. Managed Deep AgentsUSES MODELGPT-5.5

    Managed Deep Agents v0.10’s subagent definition uses the GPT-5.5 model from OpenAI.

    Current64 sourcesGPT-5.5
  2. Managed Deep AgentsRUNS INLangSmith

    Managed Deep Agents v0.10 runs the browser in its own LangSmith sandbox.

    Current1903 sourcesLangSmith
  3. Managed Deep AgentsUSESSlack

    Managed Deep Agents v0.10 uses Slack as an agent channel for handoff.

    Current732 sourcesSlack
  4. Managed Deep AgentsRUNS BROWSER INLangSmith Sandboxes

    Managed Deep Agents runs the browser in its own LangSmith sandbox.

    Current1 sourceLangSmith Sandboxes
  5. Managed Deep AgentsBUILDS AND DEPLOYS AGENTS INLangSmith

    Managed Deep Agents lets you build and deploy agents in LangSmith without running any infrastructure.

    Current1 sourceLangSmith
  6. Managed Deep AgentsPROVIDES TOOLbrowser_run

    Managed Deep Agents provides the browser tool browser_run.

    Current1 sourcebrowser_run
  7. Managed Deep AgentsCALLS TOOLbrowser_handoff

    Managed Deep Agents calls the browser_handoff tool when the agent hits a login page.

    Current1 sourcebrowser_handoff
  8. Managed Deep AgentsPROVIDES TOOLbrowser_snapshot

    Managed Deep Agents provides the browser tool browser_snapshot.

    Current1 sourcebrowser_snapshot
  9. browser.pyIMPORTS MODULEManaged Deep Agents

    browser.py imports the define_browser function from managed_deepagents.

    Current1 sourcebrowser.py
  10. Managed Deep AgentsRUNS ONLangSmith

    More than 70% of Managed Deep Agents runs on LangSmith

    Current1 sourceLangSmith
  11. MuseIS EXAMPLE OFManaged Deep Agents

    Muse is an example of Managed Deep Agents

    Current1 sourceMuse
  12. OpenAI’s DotsIS EXAMPLE OFManaged Deep Agents

    Dots is an example of Managed Deep Agents

    Current1 sourceOpenAI’s Dots
  13. Managed Deep AgentsUSESSlack

    Managed Deep Agents use Slack as a source of information to monitor

    Current1 sourceSlack
  14. Schedules SDKIS INCLUDED INManaged Deep Agents

    Schedules SDK is part of Managed Deep Agents

    Current1 sourceSchedules SDK
  15. Claude DuetIS EXAMPLE OFManaged Deep Agents

    Claude Duet is an example of Managed Deep Agents

    Current1 sourceClaude Duet
  16. Managed Deep AgentsHOSTED ONLangSmith Deployments

    Managed Deep Agents are hosted using LangSmith Deployments

    Current1 sourceLangSmith Deployments
  17. HoneIS EXAMPLE OFManaged Deep Agents

    Hone is an example of Managed Deep Agents

    Current1 sourceHone
  18. InstinctIS EXAMPLE OFManaged Deep Agents

    Instinct is an example of Managed Deep Agents

    Current1 sourceInstinct
  19. LangChainUSESManaged Deep Agents

    LangChain uses Managed Deep Agents

    Current1 sourceLangChain
  20. Content StudioBUILT ONManaged Deep Agents

    Content Studio built on Managed Deep Agents

    Current1 sourceContent Studio
  21. Managed Deep AgentsINTEGRATES WITHSlack

    Managed Deep Agents integrates with Slack

    Ended 2026-10-291 sourceSlack
  22. Managed Deep AgentsUSESStudio

    Managed Deep Agents v0.10 uses Studio as an agent channel for handoff.

    Current315 sourcesStudio
  23. Managed Deep AgentsRUNS INLangSmith

    Managed Deep Agents v0.10 runs its browser in a LangSmith sandbox.

    Current64 sourcesLangSmith

Relations are facts Graphiti extracted from reports, not verbatim quotes. An end date means later reporting showed the relation no longer holds.

Events 2

Source reports 4