---
title: "What context graph and memory architecture is practical?"
category: "questions"
status: "active"
sourceLabels: ["Official schedule", "Slide/OCR evidence", "Tool inventory", "Topic synthesis", "YouTube resource"]
---

# What context graph and memory architecture is practical?

## Why This Question Matters
The conference graph repeatedly asks how agents should retrieve, preserve, update, and reason over context without stuffing everything into a prompt.

## Current Working Answer
This page is a first-pass research question, not a final recommendation. Use the linked evidence to refine the answer as more exact session recordings, transcripts, and reviewed slide readings become available.

## Source Evidence
- [[agent-memory]] — Topic synthesis
- [[agentic-search]] — Topic synthesis
- [[autoresearch]] — Topic synthesis
- [[neo4j]] — Tool inventory
- [[zep]] — Tool inventory
- [[graphrag]] — Tool inventory
- [[2026-06-29-louis-fran-ois-bouchard-context-engineering-in-2026-compaction-memory-and-cost]] — Official schedule
- [[2026-06-30-gil-feig-why-your-company-needs-a-context-graph-and-how-to-build-it]] — Official schedule
- [[2026-06-30-prukalpa-sankar-wtf-is-the-context-layer-the-missing-infrastructure-for-production-agents]] — Official schedule
- [[2026-06-30-stefania-druga-memory-harnesses-for-long-running-research-agents]] — Official schedule
- [[youtube-4sX_He5c4sI]] — YouTube resource
- [[youtube-4sX_He5c4sI-slides]] — Slide/OCR evidence
- [[youtube-B9h9ovW5H9U-slides]] — Slide/OCR evidence

## Follow-Up
- Extract specific claims from the linked source pages.
- Separate official schedule evidence from supporting YouTube, transcript, and OCR evidence.
- Convert stable answers into playbooks, harnesses, or evaluations where appropriate.