Memory that models your business, not just your preferences.
In 2026, every AI claims to "remember" you. We took a hard look at what ChatGPT and Claude actually store, and built GearHead's memory to do what they can't: model your whole business across your whole team.
Both Claude and ChatGPT shipped real cross-chat memory in 2025-2026 — credit where it's due. ChatGPT stores about 1,400 words of saved facts per user. Claude synthesizes a 24-hour summary that carries forward across standalone chats. Both work well for personal context. But the moment your work involves more than one person, one project, or one role, the architecture matters. GearHead's memory is a structured entity graph with semantic vectors, temporal awareness, and permission-scoped access — built specifically for businesses, not personal preferences.
What it does for you
Every claim below is verifiable in the GearHead codebase. We do not market features we have not shipped.
Entity relationship graph
GearHead doesn't just store facts — it stores the relationships between them. People, companies, projects, decisions. When you mention "Sarah," GearHead knows she's the COO at Henderson Corp, which signed a retainer in March, which means the case load is up 40%. Neither ChatGPT nor Claude has this.
Shared across your team, with permissions
On ChatGPT Team and Claude Team, memory is per-user. Your teammate doesn't see what you remember. GearHead's memory has three scopes — private to user, shared to project, or shared across the whole company — with role-based access (admin, staff, client). Permission-aware from day one.
Proactive surfacing — not just recall
Both Claude and ChatGPT memory are reactive: they look stuff up when you reference it. GearHead surfaces relevant context on every conversation turn. Mention a client, GearHead automatically pulls in the last 5 interactions, open tasks, and outstanding decisions — without you asking.
Temporal awareness
GearHead tracks when each memory was last retrieved and how often it's used. Stale memories quietly fade in importance. Recent, frequently-relevant facts surface first. Time-bound facts (deadlines, contract end dates) are parsed and tracked separately. Neither competitor surfaces memories this way.
Per-persona memory scoping
GearHead has 8 personas (Kathy for office work, Byron for strategy, etc). Each can have its own filtered view of memory. Kathy doesn't need to know about your dev sprint. Byron doesn't need front-desk scheduling. Memory tagged by persona scope, configured per business.
Imports memory from your other AIs
GearHead reads exported chat histories from ChatGPT, Claude, Gemini, and DeepSeek — and converts them into structured memories. You don't start over when you switch. ChatGPT does not offer imports. Claude added ChatGPT import; GearHead supports all four.
From setup to running in minutes
You talk normally
No "save this" commands. No memory toggles. GearHead extracts what matters from natural conversation, with the same patience as a long-tenured assistant.
It builds structure
Entities, relationships, decisions, dates — extracted and linked. Stored both as semantic embeddings (for fuzzy recall) and structured graph (for precise traversal).
It scores and scopes
Each memory gets a relevance score, retrieval count, and permission scope. Private, project-shared, or company-shared — set by you, enforced everywhere.
It surfaces, you decide
Next conversation — same chat, different chat, different teammate — GearHead pulls the right context proactively. You stay in control. View, edit, or delete any memory anytime.
Who's using Memory
Matter context follows every attorney
Senior partner builds the case strategy in chat. Associate picks it up next week — GearHead surfaces the entire history: parties, decisions, opposing counsel notes, deadlines. No "send me the file" emails. With proper permission scoping, paralegals see what they're cleared to see, no more.
Clinical and administrative memory, properly separated
Clinician notes stay private to the clinician. Treatment plan summaries are visible to authorized staff. Front-desk only sees scheduling context. One memory architecture, three permission layers — ChatGPT and Claude cannot do this inside a single workspace.
Every rep starts at full context
When a rep inherits a deal, GearHead surfaces every prior interaction, decision, objection, and concern from the entire team. Not just what was logged in the CRM — what was actually said and decided. New rep gets up to speed in minutes, not days.
Years of client history, instantly
A client emails asking about something from 18 months ago. GearHead remembers the project, the decisions, the invoices, and the original scope — without scrolling through email or searching ChatGPT history hoping you saved the right summary.
See it for yourself. Request a demo.
Our team will walk you through GearHead's memory architecture live — focused on how it fits your business. No sales pitch, no decks.