On-device context engine · Private beta

The right context,
exactly when
the AI needs it.

Here's the thing. You ask Claude a question. Before it reaches the model, Contextify intercepts it — on your device — finds the most relevant pieces of your history, and injects just that into the call.

The AI only sees what it needs. Nothing more ever leaves your machine. Not to us. Not to anyone.

Download for macOS →
Gmail
iMessage
Slack
"The model is forcing you to be its memory. You're doing the work the system should do."
— Developer thread, Hacker News

The thing is — this isn't a hard problem to solve. It's a layer that's been missing.

Contextify sits on your device. It reads your history, builds a timeline, and at the exact moment you ask something, it finds the relevant pieces and injects them into the call. Silently. Instantly. Entirely on your machine.

No external API. No cloud step. No middleman. The AI gets context. Your data goes nowhere.

01

Your history becomes
the AI's memory.

Runs entirely on your device. No external calls at any step — not during indexing, not during retrieval, not during injection.

On-device intercept flow
Your query
"What went wrong with the Apex contract?"
Contextify intercepts
Searches local timeline · on-device · <50ms
Relevant context only
3 events from Mar–May 2024 injected
LLM answers
Full context · no re-explaining needed
Everything above happens on your device
01 · Connect
Link your sources

Authorize Contextify to read your communication history. All processing happens locally — nothing leaves your machine.

Gmail iMessage Slack More soon
02 · Index
Build your timeline

Messages are compressed on-device into structured summaries — decisions, threads, outcomes. A complete timeline of your working life. No raw data stored. No external calls made.

03 · Inject
Right context,
right moment

When you send a query to any LLM, Contextify intercepts it, retrieves only the most relevant context from your local timeline, and injects it — on the fly. The model gets what it needs. Nothing more.

Every AI
you already use.

Contextify works as a background context layer — compatible with any LLM interface. The AI changes. The context layer stays.

Claude
Supported
ChatGPT
Supported
Gemini
Supported
Cursor / Claude Code
Coming soon
Any LLM with an API
Coming soon

On your
device.
Full stop.

Here's the thing about trust — you can't verify what a cloud service does with your data. You can verify what runs on your own machine.

Everything: indexing, retrieval, injection — happens locally. No account. No server. No step where your data is anywhere but yours.

01
Selective, not total

The LLM only ever sees the context it needs for your query. Your full history is never passed to any model — local or remote.

02
No external API calls

Context retrieval and injection happen entirely on-device. No cloud service, no intermediary. Nothing leaves your machine at any step.

03
Open source pipeline

The entire processing pipeline is MIT-licensed. Read every line of what we do with your data on GitHub.

Private beta · Free · macOS

Install once.
The AI catches up.

Connect your accounts. Contextify builds your timeline on your machine. The next time you ask an AI something — it already knows what it needs to know.

Download for macOS View on GitHub
macOS 13+ · Apple Silicon · Free during beta
Tweaks
Accent
Background