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How LangChain Deep Agents Actually Work (Execution Environment Deep Dive) | Part 1

Building Saas

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How LangChain Deep Agents Actually Work (Execution Environment Deep Dive) | Part 1

317 просмотров · 2 месяца назад
Building Saas
110 подписчиков
317 просмотров · 2 месяца назад
LangChain's Deep Agents SDK gives you a batteries-included agent harness — built-in tools, file systems, memory, subagents, and human-in-the-loop, all on top of LangGraph. In this video, we build a deep agent from scratch and go deep into the execution environment: tools, backends, permissions, and sandboxes. 🔧 What we cover: What deep agents are and how they differ from a plain LangGraph agent Setting up a project with uv, deepagents, and Tavily search Building a custom tool and wiring it into a deep agent StateBackend — temporary, thread-scoped file storage FilesystemBackend — giving your agent access to real disk CompositeBackend — routing file paths to different backends StoreBackend — persistent, cross-thread memory (with a live demo!) Permissions — locking down read/write access with declarative rules Sandboxes — isolating agent code execution from your host system ⏱️ Timestamps: 00:00 – Intro: What are Deep Agents? 01:30 – Project setup (uv, deepagents, Tavily) 03:00 – Tools & built-in filesystem tools 03:40 – StateBackend 05:00 – FilesystemBackend 05:30 – StoreBackend 06:30 – CompositeBackend 06:50 – StoreBackend + persistence demo 09:45 – Permissions 11:35 – Sandboxes 13:00 – What's next 📚 Resources: LangChain Deep Agents docs: https://docs.langchain.com/oss/python... Tavily: https://tavily.com LangGraph tutorial    • Adding Postgres Checkpointer to LangGraph ...   🔔 Coming up next in this series: Context Engineering in Deep Agents (skills, memory, summarization) Subagents & task delegation Human-in-the-loop & steering If this helped, drop a like and subscribe so you don't miss the rest of the series! #aiengineering #AgenticAI, #AIAgents, #BuildSaaS, #SaaSDevelopment, #SaaSArchitecture, #AISaaS, #ProductionAISystems, #LLMApplications, #AIWorkflows, #AIAutomation, #LangGraph, #MultiAgentSystems, #AIAgentFramework, #AISystemDesign, #RAGArchitecture, #ProductionRAG, #AIInfrastructure, #VectorDatabase, #AIDataPipelines, #FastAPI, #BackendArchitecture, #MicroservicesArchitecture, #APIDevelopment, #CloudArchitecture, #AWSBackend, #SoftwareArchitecture, #DeveloperTutorials, #BuildAIProjects, #AIDeveloper