AI that actually remembers — and why ChatGPT memory isn't the same thing

When buyers ask "does it remember previous conversations?", they usually mean two different things:

One: can I refer to "the Smith matter" in a follow-up message and have the AI know what I mean? Two: does it remember across days, weeks, restarts — so I don't have to re-explain context every Monday?

Most AI tools answer "kind of" to one of those questions and "no" to the other.

How the major tools actually handle memory

ChatGPT memory (paid tiers): account-wide, opaque, capped at a small total size. The AI decides what to keep based on its own heuristics. You can browse and delete entries but you can't see the rules. Works within a single ChatGPT account — if your team shares a tier, memories cross-contaminate.

Claude.ai: project-scoped or conversation-scoped. No cross-conversation memory by default. Projects help, but you're re-creating context inside each project.

Microsoft Copilot: knows about your M365 graph (emails, files, calendar) but doesn't persist conversation history across sessions in a meaningful way.

Local Ollama on its own: no memory layer — each conversation starts fresh unless you build the memory yourself.

What AI In Your Pocket actually does

Per-user persistent memory: each team member has their own private memory file on the office machine. The partner's context doesn't leak into the trainee's. The trainee's career-development chat doesn't leak into the partner's view.

Survives restarts: the memory lives on disk, not in RAM. When the office machine reboots, memory persists.

Last 20 turns of conversation are automatically prepended to each new message, so the AI has the immediate context. Older context is archived but stays accessible.

You can wipe your own memory at any time with /forget — a fast privacy reset between client engagements.

You can inspect memory size with /memory.

Why this matters for a team

For one person, ChatGPT-style memory is fine if you can live with the opacity.

For a team, you actually want isolation between users, persistence across days, and the ability to wipe per-user without resetting the whole tool. That's what per-user persistent memory means in practice.

For a sector view of how persistent memory plays out in your work, see /for/[your-sector] from the homepage.