Storia in 2 fonti

How I Built a Memory-Backed Sales Agent That Actually Remembers Deals

Most AI sales assistants are great at summarizing a meeting. The problem is that they forget...

Raccontata da

dev.to

microsoft.com

Confronto fonti

2 prospettive sulla stessa storia

AI · summaries

dev.toStai leggendo1 mese fa

How I Built a Memory-Backed Sales Agent That Actually Remembers Deals

DealMind maintains persistent memory across sales cycles (weeks to months), enabling personalized follow-ups without context resets. Persistent agent memory + task-based model routing demonstrate the real lever: structured continuity and recall, not raw model power—directly impacts close rates and team efficiency.

originale

microsoft.com1 mese fa

Memora scales agent memory to boost long-horizon productivity

AI agents can't remember past conversations. They must constantly reload or retrieve context, which grows less efficient as tasks get longer and more complex. Memora solves this with a scalable memory system separating…

Leggi questa versione →

Timeline cronologica

domenica 28 giugno 2026·dev.to
How I Build AI Agents That Actually Remember
Three production-tested patterns for AI agent memory: structured logs, vector stores, and hybrid checkpointing.
domenica 28 giugno 2026·dev.to
How I Built a Memory-Backed Sales Agent That Actually Remembers Deals
Most AI sales assistants are great at summarizing a meeting. The problem is that they forget...

How I Built a Memory-Backed Sales Agent That Actually Remembers Deals

Memora scales agent memory to boost long-horizon productivity

Timeline cronologica

How I Build AI Agents That Actually Remember

How I Built a Memory-Backed Sales Agent That Actually Remembers Deals

Memora scales agent memory to boost long-horizon productivity

What It Takes to Build an AI Personal Assistant That Actually Remembers