About NeuralOS
NeuralOS turns one-off AI chats into standing agents. Instead of opening a chat window every time you need a competitor check, a market summary, or a content draft, you describe the job once — what to watch, how often to run it, and where the output should land — and NeuralOS keeps doing it in the background.
What it actually does
Under the hood, an agent is a scheduled task plus a prompt plus a set of connected tools. NeuralOS runs the schedule, calls the model, and stores every result in a per-user Vault so nothing you generate disappears when the tab closes. Typical agents people run:
- Checking a list of competitor sites for pricing or copy changes
- Summarizing daily or weekly funding and industry news into a digest
- Drafting a newsletter intro or content-calendar entry on a recurring schedule
- Building and refreshing a lightweight revenue or metrics forecast from connected data
Why we built it
Most AI tools are request/response: you ask, it answers, the context is gone. That works for one-off questions but breaks down for anything recurring — monitoring, reporting, research that needs to happen on a cadence rather than on demand. NeuralOS exists to close that gap: connect the tools you already use, define the job, and let it run unattended.
Where we are
NeuralOS is an early, actively developed product. Features ship frequently and the agent library is still growing. If there's a workflow you want automated that isn't supported yet, that feedback directly shapes what gets built next.