Chroma | Context Engineering Episode 3 - Lance Martin - LangChain скачать в хорошем качестве

Chroma | Context Engineering Episode 3 - Lance Martin - LangChain

Chroma CEO Jeff Huber sits down with Lance Martin to discuss the current state of agents and more. Find Lance on X, https://x.com/RLanceMartin, and his website, https://rlancemartin.github.io/ 0:00 Introduction & Welcome 0:09 Context Engineering: What It Is and Why It Matters 2:05 Context Rot and Performance Degradation 3:31 Year in Review: 2025 AI Trends 4:28 Giving Agents a Computer (File System & Shell) 5:00 Model Context Protocol (MCP) and Tool Bloat 6:07 Multi-Tier Action Space Architecture 8:24 Tool Search and Progressive Disclosure 10:33 Agent Harness Structure & Deep Agents 12:17 Skills and Standard Operating Procedures (SOPs) 14:13 Context Offloading Techniques 15:49 Plan Offloading & The Ralph Wiggum Loop 18:00 Context Caching for Cost & Speed 18:27 Sub-agents and Context Isolation 21:16 Summary: Key Context Engineering Principles 22:00 Evolving Context & Continual Learning 25:02 Claude Diary: Reflecting on Sessions 26:06 Skill Learning from Agent Trajectories 27:00 Memory Management in Token Space vs Weights 28:35 RLMs: Reason Language Models & Learned Context Management 31:30 What Can Be Absorbed Into Models (The Classifier Test) 35:30 Memory: Writing vs Retrieval Challenges 40:00 File Systems as Agent Primitives 42:46 Limitations of File Systems for Large Codebases 45:02 Multi-Agent Collaboration & Concurrency Challenges 49:35 Layers of Context: Session, Agent, Organizational, Global 52:27 File Systems vs Databases: A Hot Take 55:51 Sandboxing and Agent Infrastructure 58:42 What's Most Exciting: Memory, Personal Agents & Bioscience 2:02:18 Wrap Up — Chroma is the open-source AI application database. Batteries included. Embeddings, vector search, document storage, full-text search, metadata filtering, and multi-modal. All in one place. Retrieval that just works. As it should be. Try it today: https://trychroma.com/cloud