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    Harrison Chase

    Harrison Chase is a central figure in the developer conversation around LLM agents, orchestration, and agent memory, helping define abstractions and advancing ideas around graphs, state, and multi-step workflows.

    #11 AI Agents#4 RAG#9 LLMOps
    60CiteRank

    Last updated 11 Nov 2026 · Named in 136 answers across 5 engines
    Bing AI Mode starts a separate baseline. Copilot remains a separate public engine and keeps its history; changes across the switch are not like-for-like growth.

    How AI engines see them

    Recognized by 5 of 5 measured engines. Updated 2026-10-26

    All five engines name the person and agree that he is co-founder and CEO of LangChain, an open source framework for building applications on large language models. ChatGPT, Copilot and Gemini describe his view that AI moves from assistant to autonomous agent or teammate. Copilot adds agent harness engineering and treating agents as enterprise workers. Google AI Mode credits him with LangSmith. Perplexity adds agent orchestration and memory. The engines cite sequoiacap.com, langchain.com, ai.engineer and youtube.com.

    • ChatGPTNamed in 35 answers

      CEO and co-founder of LangChain, an open source framework for LLM applications, who frames AI agents as teammates able to use tools and coordinate workflows.

      Known for
      • AI agents movement
      • LangChain framework
    • GeminiNamed in 41 answers

      Co-founder and CEO of LangChain who champions the shift from copilots to reliable, long horizon autonomous agents and context engineering over pure scaling.

      Known for
      • long horizon autonomous agents
      • context engineering
    • Google AI ModeNamed in 22 answers

      Co-founder and CEO of LangChain who created the framework and enterprise tooling like LangSmith, moving LLMs toward autonomous, workflow driving agents.

      Known for
      • LangChain framework
      • LangSmith tooling
    • PerplexityNamed in 25 answers

      Co-founder and CEO of LangChain, an open source framework for language model applications and AI agents, noted for work on agent orchestration, memory and context engineering.

      Known for
      • agent orchestration
      • memory and context engineering
    • Bing AI ModeNot named

      No description yet.

    • CopilotNamed in 13 answers

      Co-founder and CEO of LangChain who argues agents should be engineered as reliable enterprise workers, stressing context engineering and harness engineering.

      Known for
      • context engineering
      • harness engineering for agents

    Top Segments

    • #11AI Agentsof 109
      Named in 52 answers
    • #4RAGof 64
      Named in 49 answers
    • #9LLMOpsof 88
      Named in 28 answers

    Top URLs

    1. 1
      https://www.listennotes.com/podcasts/nvidia-ai-podcast-nvidia-8WS6JPYmMvj/
      listennotes.com17 citations
    2. 2
      https://fedi.simonwillison.net/%40simon/115861192700685498
      fedi.simonwillison.net10 citations
    3. 3
      https://www.laude.org/impact/andrej-karpathy
      laude.org9 citations

    Words engines use about Harrison

    • langsmith and langgraph1 engine
    • ranked first overall1 engine
    • ranked most influential1 engine

    Prompts where Harrison is named

    Run now opens the answer page for that prompt.

    • Who are the most influential voices in RAG & context engineering?

      Named by 4 engines

    • Who are the most influential voices in AI memory & personalization?

      Named by 2 engines

    • Who are the most influential voices in AI agents & agentic workflows?

      Named by 1 engines

    • Who are the most influential voices in LLMOps & inference?

      Named by 1 engines

    Track Harrison

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