World Model · podcast knowledge graph

Context Engineering for Agents - Lance Martin, LangChain

2025-09-11 · 58 min · 32 entities

episode page audio

Asserted relationships

  • → references Agents From Scratch product
    0.77
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://github.com/langchain-ai/agents-from-scratch
  • → references Open Deep Research product
    0.77
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://github.com/langchain-ai/open_deep_research
  • → discusses Science concept
    0.40
    evidence rules-v4
    Feed category: Science
  • → discusses Technology concept
    0.40
    evidence rules-v4
    Feed category: Technology
  • → references Bitter Lesson book
    0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://rlancemartin.github.io/2025/07/30/bitter_lesson
  • → references How Contexts Fail And How To Fix Them website
    0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://dbreunig.com/2025/06/22/how-contexts-fail-and-how-to-fix-them.html
  • 0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://dbreunig.com/2025/07/24/why-the-term-context-engineering-matters.html
  • → references Context Engineering person
    0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://rlancemartin.github.io/2025/06/23/context_engineering
  • 0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://docs.google.com/presentation/d/16aaXLu40GugY-kOpqDU4e-S0hD1FmHcNyF0rRRnb1OU/edit?usp=sharing
  • 0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://manus.im/blog/Context-Engineering-for-AI-Agents-Lessons-from-Building-Manus
  • → references Dont Build Multi Agents person
    0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://cognition.ai/blog/dont-build-multi-agents
  • → references Multi Agent Research System person
    0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://anthropic.com/engineering/multi-agent-research-system
  • → references Deep Research With Langgraph person
    0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://academy.langchain.com/courses/deep-research-with-langgraph
  • → references How To Think About Agent Frameworks website
    0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://blog.langchain.com/how-to-think-about-agent-frameworks
  • → references Vibe Code person
    0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://rlancemartin.github.io/2025/04/03/vibe-code
  • → references Six Months In Llms person
    0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://simonwillison.net/2025/Jun/6/six-months-in-llms

Entities found in this episode

persons 12

  • mentioned Context Engineering person
    0.45
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://rlancemartin.github.io/2025/06/23/context_engineering
  • mentioned Dont Build Multi Agents person
    0.45
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://cognition.ai/blog/dont-build-multi-agents
  • mentioned Multi Agent Research System person
    0.45
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://anthropic.com/engineering/multi-agent-research-system
  • mentioned Deep Research With Langgraph person
    0.45
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://academy.langchain.com/courses/deep-research-with-langgraph
  • mentioned Vibe Code person
    0.45
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://rlancemartin.github.io/2025/04/03/vibe-code
  • mentioned Six Months In Llms person
    0.45
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://simonwillison.net/2025/Jun/6/six-months-in-llms
  • references Context Engineering person
    0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://rlancemartin.github.io/2025/06/23/context_engineering
  • references Dont Build Multi Agents person
    0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://cognition.ai/blog/dont-build-multi-agents
  • references Multi Agent Research System person
    0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://anthropic.com/engineering/multi-agent-research-system
  • references Deep Research With Langgraph person
    0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://academy.langchain.com/courses/deep-research-with-langgraph
  • references Vibe Code person
    0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://rlancemartin.github.io/2025/04/03/vibe-code
  • references Six Months In Llms person
    0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://simonwillison.net/2025/Jun/6/six-months-in-llms

websites 10

  • 0.45
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://dbreunig.com/2025/06/22/how-contexts-fail-and-how-to-fix-them.html
  • 0.45
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://dbreunig.com/2025/07/24/why-the-term-context-engineering-matters.html
  • 0.45
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://docs.google.com/presentation/d/16aaXLu40GugY-kOpqDU4e-S0hD1FmHcNyF0rRRnb1OU/edit?usp=sharing
  • 0.45
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://manus.im/blog/Context-Engineering-for-AI-Agents-Lessons-from-Building-Manus
  • 0.45
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://blog.langchain.com/how-to-think-about-agent-frameworks
  • 0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://dbreunig.com/2025/06/22/how-contexts-fail-and-how-to-fix-them.html
  • 0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://dbreunig.com/2025/07/24/why-the-term-context-engineering-matters.html
  • 0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://docs.google.com/presentation/d/16aaXLu40GugY-kOpqDU4e-S0hD1FmHcNyF0rRRnb1OU/edit?usp=sharing
  • 0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://manus.im/blog/Context-Engineering-for-AI-Agents-Lessons-from-Building-Manus
  • 0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://blog.langchain.com/how-to-think-about-agent-frameworks

products 4

  • mentioned Agents From Scratch product
    0.90
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://github.com/langchain-ai/agents-from-scratch
  • mentioned Open Deep Research product
    0.90
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://github.com/langchain-ai/open_deep_research
  • references Agents From Scratch product
    0.77
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://github.com/langchain-ai/agents-from-scratch
  • references Open Deep Research product
    0.77
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://github.com/langchain-ai/open_deep_research

concepts 4

  • mentioned Science concept
    0.50
    evidence rules-v4
    Feed category: Science
  • mentioned Technology concept
    0.50
    evidence rules-v4
    Feed category: Technology
  • discusses Science concept
    0.40
    evidence rules-v4
    Feed category: Science
  • discusses Technology concept
    0.40
    evidence rules-v4
    Feed category: Technology

books 2

  • mentioned Bitter Lesson book
    0.45
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://rlancemartin.github.io/2025/07/30/bitter_lesson
  • references Bitter Lesson book
    0.38
    evidence rules-v4
    Link in episode "Context Engineering for Agents - Lance Martin, LangChain": https://rlancemartin.github.io/2025/07/30/bitter_lesson
Episode description as stored
Lance: https://www.linkedin.com/in/lance-martin-64a33b5/ How Context Fails: https://www.dbreunig.com/2025/06/22/how-contexts-fail-and-how-to-fix-them.html How New Buzzwords Get Created: https://www.dbreunig.com/2025/07/24/why-the-term-context-engineering-matters.html Content Engineering: https://rlancemartin.github.io/2025/06/23/context_engineering/ https://docs.google.com/presentation/d/16aaXLu40GugY-kOpqDU4e-S0hD1FmHcNyF0rRRnb1OU/edit?usp=sharing Manus Post: https://manus.im/blog/Context-Engineering-for-AI-Agents-Lessons-from-Building-Manus Cognition Post: https://cognition.ai/blog/dont-build-multi-agents Multi-Agent Researcher: https://www.anthropic.com/engineering/multi-agent-research-system Human-in-the-loop + Memory: https://github.com/langchain-ai/agents-from-scratch - Bitter Lesson in AI Engineering -Hyung Won Chung on the Bitter Lesson in AI Research: Bitter Lesson w/ Claude Code: Learning the Bitter Lesson in AI Engineering: https://rlancemartin.github.io/2025/07/30/bitter_lesson/ Open Deep Research: https://github.com/langchain-ai/open_deep_research https://academy.langchain.com/courses/deep-research-with-langgraph Scaling and building things that “don’t yet work”: - Frameworks -Roast framework at Shopify / standardization of orchestration tools: MCP adoption within Anthropic / standardization of protocols: How to think about frameworks: https://blog.langchain.com/how-to-think-about-agent-frameworks/ RAG benchmarking: https://rlancemartin.github.io/2025/04/03/vibe-code/ Simon’s talk with memory-gone-wrong: https://simonwillison.net/2025/Jun/6/six-months-in-llms/ Full Video Episode Timestamps 00:00 Introduction and Background 00:53 The Rise of Context Engineering 01:57 Context Engineering vs Prompt Engineering 05:56 The Five Categories of Context Engineering 10:02 Multi-Agent Systems and Context Isolation 14:48 Classical Retrieval vs Agentic Search 17:12 LLMs.txt and MCP Servers 24:51 Context Pruning and Memory Management 37:25 Memory Systems and Human-in-the-Loop 42:55 The Bitter Lesson Applied to AI Engineering 51:21 Frameworks, Abstractions, and Building for the Future This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe