Vendor-neutral context layer

Stop re-explaining your project to every AI.

Your team runs about four assistants — ChatGPT, Claude, Gemini, Copilot, Cursor. Context Home AI captures project state once — files, prompts, recent turns — and injects it into the next assistant in one click. Carry context across assistants without leaking a thing.

On-device, your tenant, or vendor cloud — you choose where context lives.

Works with
GPChatGPT ClClaude GeGemini CoCopilot CuCursor

French audio · muted until you press play · no autoplay.

The problem

Every AI switch resets your context.

The model with the right answer usually isn't the one your team is already in. So every switch means re-pasting files, prompts, and project context — and the tool forgets everything the moment they move on.

It repeats all day. Every switch restarts context from zero.
It breaks flow. People lose the thread and the project history.
It's universal. Across 1M+ analyzed complaints, people keep asking for one universal AI context layer.

"I hate switching between ChatGPT and Claude because it forgets my entire project context."

— a power user on LinkedIn
What it costs

The bill is already on your books.

Time lost feeding and fixing AI doesn't show up as a line item — but it adds up across every person, every day.

6.4 hrs/wk
"Botsitting" AI — feeding and fixing context.
≈ 295 hrs/yr — about 7 full work-weeks per worker.
>1 in 3
AI sessions fail and restart from scratch.
The project history is lost on the switch.
41%
Ship AI output they can't fully explain.
Context gaps become trust gaps.
23 min
To refocus after each interruption.
Every re-paste is an interruption.
$450B
Drained from the economy each year.
The cost of lost focus, at scale.
The short version
Multi-tool is the default. The cost is real, recurring, and invisible — until you measure it.
Why now

Multi-tool AI is the default.

ChatGPT reached ~900M weekly users, 78% of organizations now use AI in at least one function, and generative-AI spend hit $644B in 2025. The behavior is here — the context layer isn't.

ChatGPT weekly active users
900M Dec '24 Feb '25 Jul '25 Dec '25 Mar '26
Source: OpenAI disclosures.
Organizations using AI in ≥1 function
Early 2023 Early 2024 2025 55% 72% 78%
Source: McKinsey, State of AI 2025.
Generative-AI spending
$644B +76.4% YoY
$365B $644B 2024 2025
Source: 2025 forecast.
The solution

One context layer for every AI.

Capture once, inject anywhere, keep your data. Context Home AI sits between your people and every assistant they use.

One-click carry

Push a full project pack — files, prompts, recent turns — into the next assistant in one click. No re-pasting.

Semantic dedup

Repeated context is detected and merged, so you carry signal, not noise — and keep token spend lean.

Storage transparency

Every pack declares where it lives — on-device, your tenant, or vendor cloud. You choose, every time.

Live sync

Context stays consistent across ChatGPT, Claude, Gemini, Copilot, and Cursor as the work moves.

Why it's different

Built for the person in the chat.

Memory tools like Mem0 or Letta serve developers building agents. Context Home AI serves the people doing the work — portable across every assistant, with your data under your control.

Agent-memory SDKs

For developers building agents

  • Wired into one app you build and maintain
  • Requires engineering to adopt and operate
  • Memory lives where the SDK puts it
Context Home AI

For the people doing the work

  • Portable across every assistant, no code required
  • Works the day it's installed for the whole team
  • You choose where every pack is stored
What your team gets

Less time feeding AI. More time on the work.

Hours back

Less time feeding and fixing AI, more time on the work that matters.

Better answers

No more re-explaining. The full project travels with you, so the model has what it needs.

No lock-in

Work across every model. Your context is portable and your data stays yours.

Proof from the product · 30-day view
128
Re-pastes avoided
3.4 hrs/wk
Time saved per user
48.2k
Tokens de-duplicated
Your data stays yours

Lead with where the data lives.

Every Project Pack declares its storage tier, and your team chooses it. "Where does our data go?" has a clear answer on every pack — and an answer you control.

On-device

Most private

Context never leaves the machine. It can't sync to other devices — and it never touches a server.

Your tenant

Your cloud, your rules

Stored in your own cloud or workspace. Built for teams with data-residency requirements.

Vendor cloud

Easiest sync everywhere

Encrypted at rest, with auto-redaction recommended. Sync across every device and assistant.

See it in action.

We'll map Context Home AI to one team and measure the hours reclaimed together. A 30-minute walkthrough — no setup required.

  • Walk through capture → inject on your own stack
  • Set storage tiers to match your data policy
  • Leave with a 30-day pilot plan for one team

Book a demo

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We'll reach out to schedule your walkthrough and map a 30-day pilot for one team.