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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...

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dev.toStai leggendo3 g 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.

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microsoft.com2 g 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…

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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