WARPTECHNEWS · LAB

Home AI Business Tech Archive

WARPTECH LAB NEWS

Warptech Lab News aggrega le notizie più rilevanti da oltre 700 fonti internazionali, con classificazione AI, TL;DR sintetici e timeline cluster su singole storie.

Navigazione

Home
Archivio
Editor's Brief
Cerca
Il tuo account
Newsletter tech/AI

Informazioni legali

Privacy Policy
Termini di servizio
Cookie Policy

© 2026 Sparktech S.R.L. — Tutti i diritti riservati. Sito gestito e manutenuto da Sparktech S.R.L.

Sede legale: Corso Libertà 55, 13100 Vercelli (VC), Italia · P.IVA / C.F. 02835910023 · Contatti: admin@warptechlab.com

Storia in 2 fonti

Everyone says their agent "has memory"

Everyone uses the word "memory" but I feel like they all mean something different by it. For some...

Raccontata da

Confronto fonti

2 prospettive sulla stessa storia

AI · summaries

dev.toStai leggendo3 g fa

Everyone says their agent "has memory"

Everyone uses the word "memory" but I feel like they all mean something different by it. For some...

redis.io15 h fa

AI Agent Memory vs Retrieval: Why You Need Both

Retrieval answers what's in your data. Memory answers what happened before. Production agents need both—here's why stitching them together breaks.

Leggi questa versione → originale

Timeline cronologica

venerdì 12 giugno 2026·dev.to
Why agents need memory that improves itself
Vector recall bolted onto a prompt isn't memory. A temporal knowledge graph, self-editing blocks, and consolidation are what let an agent get sharper the longer you run it.
domenica 14 giugno 2026·dev.to
Everyone says their agent "has memory"
Everyone uses the word "memory" but I feel like they all mean something different by it. For some...

lunedì 15 giugno 2026·

dev.to

Your AI agent doesn't have a memory. It has a transcript.

Notes from building a memory layer that forgets on purpose. Most "memory-enabled" agents don't...

mercoledì 17 giugno 2026·

redis.io

AI Agent Memory vs Retrieval: Why You Need Both

Retrieval answers what's in your data. Memory answers what happened before. Production agents need both—here's why stitching them together breaks.