OmniSaver captures high-value work context from AI chats, screenshots, research trails, and other live tools — then turns it into structured local memory you can inspect, search, and reuse with future AI and agents.
Own more than the output. Keep the context behind it.
More and more valuable work now happens inside AI chats, browser flows, screenshots, prompts, feeds, design tools, and live interfaces.
The final output may survive. But the context behind it often does not — the iterations, references, decisions, visual cues, research trails, and prompts usually stay trapped inside closed products.
As AI becomes part of everyday work, this problem gets bigger, not smaller.
Most tools help you save outputs. OmniSaver is built to preserve the context behind them — in a form that stays useful later.
OmniSaver starts with a simple goal: help people reclaim high-value work context from the tools they use every day. Over time, that archive becomes something more powerful — a personal context layer where conversations, references, screenshots, and decisions are preserved as memory you own.
Start with the most valuable context people already lose every day.
When valuable context lives only inside changing products, you do not really own it. OmniSaver is built local-first so your work context stays yours — not just backed up, but genuinely portable and reusable as software changes.
We believe ordinary people should be able to own the context behind their work — not leave it trapped inside changing products, interfaces, and vendors.
As more work happens through AI and software intermediaries, ownership should not disappear just because the interface changed.
OmniSaver exists to help bring that context back under user control.
We want to help ordinary people build a layer of memory and context they actually own — not a vague cloud of saved files, not another closed workspace.
A local-first foundation where personal work context can be stored, understood, organized, and connected to future AI tools and agents.
Today, that begins with saving high-value context. Tomorrow, it can become a durable interface between people and the software that works on their behalf.
"The final output may survive. But the context behind it usually does not."
As a product manager and designer, I spend a huge amount of time moving between AI tools, Figma, browser research, screenshots, notes, and conversations. The prompts, iterations, references, visual cues, decisions, and reasoning trails often stay trapped inside closed interfaces.
That makes the work harder to revisit, harder to reuse, and almost impossible to carry forward into new tools.
We started OmniSaver because we wanted a product for ordinary people — not just power users with complicated systems — that helps them keep the context behind their work, and lets that context stay useful as AI tools keep changing.
If you care about local-first products, open interfaces, AI-native workflows, context ownership, or the future of human and agent work — we'd love to hear from you.
Or reach us directly at [email protected]