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LangChain

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LangChain provides LangSmith LangChain WORKS_WITH Deep Agents langchain-scaledown integration PROVIDES_INTEGRATION_FOR LangChain Deep Agents is LangChain’s open source harness docs-code-samples skill OPERATES_ON LangChain The blog "Context Engineering for AI Agents Starts with Retrieval" uses "LangChain's Deep Agents harness" as an example to explain agent retrieval techniques. LangChain operates in Slack LangChain creates OpenSWE LangChain creates GTM Agent LangChain creates Content Studio LangChain thanks @caspar_br for help on this blog LangChain uses Managed Deep Agents LangChain uses LangSmith Sandbox LangChain built Paid Media Agent LangChain’s sales pipeline was driven by YouTube LangChain used OpenWiki· Entity summary generated by Graphiti

RELATIONS
17Relations
CURRENT
16Current
EVENTS
8Events
REPORTS
10Source reports
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BY VALID-FROM DATE
  1. LangChainINFLUENCED BYYouTube

    LangChain’s sales pipeline was driven by YouTube

    Current1 sourceYouTube
  2. LangChainBUILTPaid Media Agent

    LangChain built Paid Media Agent

    Current1 sourcePaid Media Agent
  3. LangChainUSESOpenWiki

    LangChain used OpenWiki

    Current1 sourceOpenWiki
  4. LangChainUSESManaged Deep Agents

    LangChain uses Managed Deep Agents

    Current1 sourceManaged Deep Agents
  5. LangChainUSESLangSmith Sandboxes

    LangChain uses LangSmith Sandbox

    Current1 sourceLangSmith Sandboxes
  6. LangChainCREATESContent Studio

    LangChain creates Content Studio

    Current2 sourcesContent Studio
  7. LangChainOPERATES INSlack

    LangChain operates in Slack

    Ended 2026-10-291 sourceSlack
  8. LangChainCREATESGTM Agent

    LangChain creates GTM Agent

    Current1 sourceGTM Agent
  9. LangChainCREATESOpen SWE

    LangChain creates OpenSWE

    Current1 sourceOpen SWE
  10. LangChainTHANKS@caspar_br

    LangChain thanks @caspar_br for help on this blog

    Current1 source@caspar_br
  11. Context Engineering for AI Agents Starts with RetrievalUSES AS EXAMPLELangChain

    The blog "Context Engineering for AI Agents Starts with Retrieval" uses "LangChain's Deep Agents harness" as an example to explain agent retrieval techniques.

    Current1 sourceContext Engineering for AI Agents Starts with Retrieval
  12. LangChainPROVIDESLangSmith

    LangChain provides LangSmith

    Current1 sourceLangSmith
  13. Deep AgentsIS ALangChain

    Deep Agents is LangChain’s open source harness

    Current2 sourcesDeep Agents
  14. docs-code-samples skillOPERATES ONLangChain

    docs-code-samples skill OPERATES_ON LangChain

    Current1 sourcedocs-code-samples skill
  15. LangChainWORKS WITHDeep Agents

    LangChain WORKS_WITH Deep Agents

    Current1 sourceDeep Agents
  16. langchain-scaledown integrationPROVIDES INTEGRATION FORLangChain

    langchain-scaledown integration PROVIDES_INTEGRATION_FOR LangChain

    Current1 sourcelangchain-scaledown integration
  17. LangChainHAS HARNESSDeep Agents

    LangChain -> HAS_HARNESS -> Deep Agents harness

    Current2 sourcesDeep Agents

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

Events 8

Source reports 10