Hyperion: The first intent-native operating system.
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You ask. It understands.<br>Hyperion is the first intent-native operating system.<br>Get startedSee how it works
Philosophy<br>Your goals are the operating system.<br>Every prior operating system asked you to manage proxies for what you wanted: a process, a file, a window, an application. Hyperion manages what you actually have.
ProcessesGoals<br>ThreadsIntentions<br>FilesKnowledge<br>WindowsContext<br>ApplicationsMemory, reasoning, capabilities
Why Hyperion<br>You shouldn't think like a computer.
Finding files<br>Choosing applications<br>Remembering workflows<br>Managing folders<br>Installing software<br>Complex settings
Hyperion clears all of that away and gets to work.
Architecture<br>You speak. Everything else listens.<br>Hyperion is built in layers, each one building on the one below it. Closer to the hardware, it's fast and safe. Closer to you, it understands what you mean.
L0Kernel · Where it begins<br>The hardware layer everything else stands on. It's open source, so its safety claims are checkable.
Capability-secured from the ground up: nothing crosses a trust boundary without an explicit, revocable grant.
L1System runtime · How it stays fast and safe<br>Schedules work across CPU, GPU, memory, and battery, keeping every process in its own boundary.
A unified scheduler balances compute, inference tokens, and context windows, the way earlier operating systems balanced CPU and RAM.
L2Platform services · What it's built from<br>Reusable capabilities, storage, updates, and networking.
Capabilities are Hyperion's replacement for the application: a declared contract, a trust level, and one or more interchangeable implementations.
L3Knowledge · What it knows and remembers<br>Your information, connected by meaning.
Every document, photo, message, or project is a Semantic Object with typed relationships to everything else: a knowledge graph standing in for folders and filenames.
L4Cognition · Where it thinks<br>Understands what you're asking for, recalls what's relevant, and picks the right model for the job.
The Intent Engine turns language into a graph of sub-goals. The Context Engine attaches what already exists (a calendar event, a past conversation). The Model Router picks local or cloud reasoning per task.
L5Coordination · How the work gets organized<br>When a goal needs more than one specialist, this layer decides who does what, and keeps a record of why.
Multi-agent orchestration assigns sub-goals to specialized agents and resolves conflicts between them. Every decision is logged for you to inspect.
L6Experience · What you see and say<br>Conversation, generated screens, and voice: the only parts of Hyperion you directly touch.
The Dynamic UI Runtime assembles a Workspace on demand for whatever you're doing, then tears it down when you're done. Accessibility is built into that runtime.
How Hyperion works<br>You only need one sentence.<br>You never pick an application. You say what you need, and Hyperion figures out the rest, visibly and explainably.
“Help me prepare for tomorrow's interview.”<br>Reads your calendar, your resume, and past notes. You don't repeat yourself.<br>Company research<br>Practice questions<br>Flashcards<br>A timer<br>The job posting
“I need to launch my startup.”<br>Breaks one goal into a plan, and starts on what's ready first.<br>Market research<br>Business plan<br>Branding<br>Entity formation<br>A website<br>Launch checklist
“Create a social media graphic from these photos.”<br>Instead of: open Photoshop, open Finder, export PNG, save as.<br>Photos selected<br>Layout composed<br>Export ready
Live console<br>You can watch it run.<br>Every session below is copied from an actual hyperion-console run. Nothing here was written for the page.
A new user's first session<br>Hyperion remembers what you told it a moment ago, breaks one goal into several tasks, and can hand back any single result by name.<br>> my name is Alex✓ status: done -- [mock model 1] echo: my name is Alex> what is my name✓ status: done -- [mock model 1] echo: Recent conversation, most recent last:<br>my name is Alex
Now respond to: what is my name> launch my startup✓ market_research: Done<br>business_model: Done<br>branding: Done<br>legal_formation: Done> /result market_research"market_research"'s real result, recorded just now:
[mock model 1] echo: Provide a concise research summary about market_research -- launch my startup. ...scenarios/onboarding-new-user-launches-startup.txt
Watching the knowledge graph grow<br>One command shows what Hyperion has learned, before and after it acts, as a graph you can inspect yourself.<br>> /graphThe knowledge graph is empty -- nothing recorded yet.> launch my startup✓ market_research: Done<br>business_model: Done<br>branding: Done<br>legal_formation: Done> /graph9 nodes:<br>[0] intent -- you asked: "launch my startup" (90% confident)<br>[1] intent -- a planned task: market_research<br>[2] intent -- a planned task: business_model<br>[3] intent -- a planned task: branding<br>[4] intent -- a planned task: legal_formation<br>[8] task_result -- a...