A browser based screen aware AI assistant that lives in a floating PiP window, powered by on-chain inference
0xD3E592E728AE3461BD97c7A6B359E1043dd83bA3
Good context is everything when using AI.
Context is what separates productive sessions with your assistant from fighting tooth and nail with your assistant.
Harness is being built to make every session productive. Instead of describing your work to your AI, show it.
We keep a local memory of your screens, a continuously-refreshed library of frames indexed by what they contain and when they happened. Your model retrieves the exact moments it needs, staying grounded in what you’re actually doing instead of drifting into guesses.
All the heavy lifting happens on your browser. Your AI reads what’s on your screen, understands the text, searches for relevant moments, all without sending anything to the cloud. No uploading screenshots. No waiting. You’re building context in real-time, right there on your machine.
When you need serious computing power, your frames route to cloud models that you choose. Anonymous options or completely private ones, depending on what matters to you. You pick the tradeoff. The memory stays local. You control what leaves and how.
When your AI can see what you see, and instantly retrieve it from your own machine, with the privacy you want, the hallucinations stop.
The re-explaining stops.
Every session becomes productive because the context is always there, always accurate, always available.
https://t.co/51KEShyQ3d to join the waitlist
I really like what $HARNESS is building.
>A doxed dev
>Building an actual aiAgentic product
> Supported by @bankrbot official team
It's really mispriced at 70k MC
A day late, but I'm building harness, a browser based AI assistant that lives in a floating PiP window, is screen aware, anon/private, and requires no downloads or installs of any kind, including browser extensions.
Check out this demo!
The goal is to completely integrate with the @bankrbot ecosystem on the backend, by using a portion of fees from the $harness token + a portion of any revenue generated to buy and stake $bnkr, and using the yield to subsidize, and hopefully eventually fund inference to provide a desktop assistant that is both affordable and capable. In addition, integrating, secondary marketplaces like @AskSurplus to further reduce inference costs.
In addition making @bankrbot skills a first class provider for adding skills and capabilities to your individual harness assistant for whatever you're doing.
Any thoughts/feedback is much appreciated, and if interested sign up for the waitlist at https://t.co/NZE5RafVQ0 to get first dibs at trying it out.