I found two scheduling conflicts and prepared a safer plan. Review the action center when you are ready.
AI work station
Atlas
A private command center where your AI can understand messages, manage email and calendar, remember what matters, and run local agent workflows without scattering your work across tabs.
Local vault boundary
Sub-agent orchestration
MCP tool routing
Action review queue
Home
Welcome back
Here are the updates for today
Personal assistant daily briefing
Draft the reply and hold it for approval.
Done. Draft saved, context attached, no external action taken.
Reply to Personal Assistant
Mainly clear
10:00 - Planning review
14:30 - Client follow-up
No new WhatsApp messages.
No unread emails.
The work station layer
One place for the work your assistant is supposed to understand.
Atlas brings personal context, channels, tools, and execution history into one operational surface, so the assistant can help with real workflows instead of isolated prompts.
Connected channels
Bring WhatsApp, email, and calendar into a single command view for messages, scheduling, and follow-up.
Memory with intent
Persist the preferences, contacts, facts, and working context that make future assistant actions smarter.
Reviewable automation
Use an action center for human approval before important messages, calendar moves, or tool steps go live.
Provider choice
Route work through OpenRouter, Codex Desktop, Gemini, or OpenAI accounts without rebuilding your workspace.
Agents that leave traces
Delegate the messy parts, keep the steering wheel.
Main agents, sub-agents, workflow steps, MCP tools, permissions, retries, cancellation, and token usage are visible in the interface. Atlas is built for controlled autonomy.
Input
Incoming request
Email, message, calendar, or manual prompt
Context pull
Memory, contacts, prior conversations
Reason
Main agent
Selects provider, model, and plan
Sub-agent
Focused research, drafting, or diagnostics
Act
MCP tools
Permission checked before execution
Human review
Approve sensitive outcomes first
Built for operators
A desktop home base for people who already use AI every day.
15
Core views across channels, agents, tools, workflows, tasks, files, logs, and settings.
Vault
Platform-backed secret storage keeps provider keys outside renderer state.
MCP
Bring local and remote tools into an explicit permission model.
Private by design
Your AI work station should feel powerful, not loose.
Atlas keeps provider calls in the trusted main process, stores secrets through a vault boundary, redacts logs, and makes tool permissions editable per agent.
Keys stay protected
Provider account keys are stored through platform-backed vault boundaries and kept out of renderer state.
Permissions are explicit
Agents can call tools only through a checked registry, and MCP tool calls require server permissions.
Work is observable
Task history, workflow runs, logs, execution traces, cancellation, and retries are part of the product surface.
Private beta
Give your AI a real work station.
Atlas is for founders, operators, builders, and power users. Windows is in progress, Mac support is planned for the future, and the goal is a personal AI system that can see the work, remember the context, and execute with reviewable control.
Request access
WindowsIn progress
MacFuture