Before 8:00
The day already has a shape.
The day already has a shape.
Schedules wake the right agents. They gather context, complete bounded work, and leave decisions ready for you.
This is Aresto.
A computer that enters your day with context, carries the work forward, and becomes more yours every time you use it.
The old ritual
The context lived across yesterday's meetings, files, messages, and decisions. You had to gather it before useful work could begin.
Four moments. One continuous thread.
Schedules, events, memory, and permissions keep the same thread moving without turning every transition into a new prompt.
Before 8:00
Schedules wake the right agents. They gather context, complete bounded work, and leave decisions ready for you.
After the meeting
Notes become commitments, follow-ups, and the next agenda without asking you to rebuild the context.
By week twelve
Aresto connects decisions, preferences, people, and outcomes so each new task begins further ahead.
At every boundary
Agents move through explicit capabilities. Ungranted access stays unavailable, and every attempt remains visible.
8:42 AM
The opening view prioritizes what changed, what finished, and what needs your judgment. The underlying activity stays available without taking over the screen.
The first shift
A schedule, a new signal, or the end of a meeting can wake a bounded workflow. Aresto gathers context, assigns agents, and stops when your decision is required.
Behind the ease
Local LLM inference
Reason locally. Reach outward only when you choose.
The Aresto daemon runs supported language models on the device, manages memory and model switching, and can route selected work to a connected model when your mode and permissions allow it.
Unified context
One working memory follows the thread across the system.
Applications and agents use the same context layer for decisions, preferences, files, and prior outcomes. You can inspect, correct, or clear what the system carries forward.
Fine-tunable AI
Choose its models, instructions, tools, and review rules.
Aresto lets you tune agent behavior through persistent instructions, model selection, tools, examples, permissions, and feedback. Deeper model adaptation can be added where a supported model and workload call for it.
Voice + video instructions
The room can become part of the instruction.
Voice handles spoken direction while the camera and vision layer can interpret what you deliberately show it. Touch and keyboard remain available when precision matters.
Agent Builder
In developmentGive it a purpose, tools, boundaries, and a place to report.
Agent Studio turns a description into an agent configuration with named tools, permissions, and interface scope. This part of the Aresto application model is in development.
Secure connection
Network access is explicit, scoped, and visible.
Agents execute in sandboxes and request named capabilities. Network access is opt-in, important actions are auditable, and encrypted storage protects local working context.
Dedicated 5G line
The same context and boundaries travel with the device.
A dedicated 5G connection keeps Aresto available away from familiar networks while the same application permissions and security controls remain in force.
Schedules + action history
Triggers begin the work; the audit trail keeps it accountable.
Schedules and system events can start bounded workflows. Aresto records what ran, which capabilities it used, what changed, and where your approval is still required.
One surface
The same agents, memory, and permissions move with the device. Touch, voice, and vision let the interaction fit the room instead of forcing every moment into a keyboard.
And then the relationship changes
Aresto begins from your profession, current context, and active threads instead of asking you to reconstruct them.
Agents carry bounded preparation and execution forward, then return at the point where judgment belongs to you.
Decisions remain connected to their sources, people, preferences, and later outcomes rather than becoming isolated files.
Capabilities are explicit and revocable. Aresto can only use what you grant, and its attempts remain visible.
And then it feels obvious
Personal computing becomes meaningfully personal when the machine understands the work, carries appropriate initiative, and still leaves authority with its owner.
The first chapter starts here
Join the first production run.
Only launch notes. Leave anytime.