---
title: "LangChain"
category: "tools"
aliases: ["LangChain"]
sourceLabels: ["Official schedule", "Public YouTube metadata", "Transcript evidence", "Local slide OCR"]
scheduleTracks: ["Workshops Day 1", "Agentic Commerce"]
scheduleRooms: ["Track 6", "Track 2"]
---

# LangChain

## Why It Belongs
LangChain appears as a high-confidence tool, platform, model, protocol, product, or service in the AI Engineer World's Fair 2026 corpus.

This page records confirmed mentions and keeps them separate from broader inferred relevance.

## Confirmed Evidence

### Official Schedule
- [[2026-06-29-ignacio-martinez-total-recall-agent-memory-and-harness-engineering]] — Total Recall: Agent Memory and Harness Engineering (Workshops Day 1 / Track 6)
- [[2026-07-01-rodrigo-coelho-agent-spending-without-controls-the-missing-infrastructure-layer-for-ai-pa]] — Agent Spending Without Controls: The Missing Infrastructure Layer for AI Pa… (Agentic Commerce / Track 2)

### Public YouTube Metadata
- [YouTube kTnfJszFxCg](https://www.youtube.com/watch?v=kTnfJszFxCg) — 3 ingredients for building reliable enterprise agents - Harrison Chase, LangChain/LangGraph
- [YouTube cwjs1WAG9CM](https://www.youtube.com/watch?v=cwjs1WAG9CM) — Building Context-Aware Reasoning Applications with LangChain and LangSmith: Harrison Chase

### Slide/OCR Pages
- [[youtube-eW_vxrjvERk-slides]]

### Transcript Files
- `raw/sources/youtube-transcripts/Akm1sqvWG4A.txt`
- `raw/sources/youtube-transcripts/Jx4ZFEAq6bY.txt`
- `raw/sources/youtube-transcripts/ObTPqBGsEbA.txt`
- `raw/sources/youtube-transcripts/SKDJo2CopRs.txt`
- `raw/sources/youtube-transcripts/Xfl50508LZM.txt`
- `raw/sources/youtube-livestream-transcripts/I2cbIws9j10.txt`

## Confidence
High confidence for presence in the corpus. Interpret broader importance through the linked schedule, transcript, slide, and topic evidence.