The thesis
Operating systems beat harnesses.
Every agent harness is a model wrapped in a loop, tools, and rules. It runs an agent — it can't govern one. That has to come from below.
A harness…
An OS…
single-tenant — one agent, one box
multi-tenant — many agents, sealed apart
wraps one model
runs any model — no vendor is the landlord
asks nicely — rules live in prompts
enforces — rules live in the kernel, below the agent
trusts its own code
isolates everything, including itself — the loop is sandboxed like any capsule
is a silo — own tools, own memory, amnesia on close
shares one toolbox, one memory, one identity system
ships features
ships guarantees
The architecture · the test
An actual OS — not just orchestration.
An OS isn't marketing — it's syscalls, IPC, permissions, quotas, drivers. Everyone claims the label; here, every primitive is a real implementation.
Sealed WASM programs, isolated by construction — one job each.
The only door out of the sandbox. A framework is a library you call; an OS is a boundary you can't cross.
Identity, groups, grants. Stricter than Unix — power only narrows.
Every message routed, observable, governable.
CPU and RAM — plus the two resources no OS ever had to meter: tokens and money.
Models are the peripherals of the agent era. Swap one like a driver; nothing above notices.
The resolution
Owned by no model vendor. Running all of them.
We don't compete with harnesses — we run them. Yours keeps its brain and its interface, and gains the guarantees: isolation, permissions, audit, budgets.
Harnesses — residents · at the same time, on the same machine
Claude Code
● SHIPPED
Codex
● SHIPPED
Grok Code
● SHIPPED
YOURS
ANY FRAMEWORK
↓ run on ↓
Unicity AOS
Run them together
Sealed apart
Each harness in its own sandbox, with its own identity and permissions — isolation by construction.
One rulebook
One policy plane over all of them — same budgets, guardrails, audit, and kill switch. No more silo per framework.
Shared parts
One shelf serves every resident — install a capsule once, grant it to any harness. The right harness per job.
Deployment
Runs inside your infrastructure.
The whole OS runs inside your network, behind one egress gate. Agent activity and data never leave your boundary.
Your environment
External world
Frameworks
Internal LLM
Semantic Intercept Fabric
One gate · single egress · allow / block / flag
Agent Registry
Cryptographic identity · scoped, revocable
Unicity AOS · Hosting Environment
Enforcement kernel · WASM sandbox · budgets
Agent Sandbox
Agent Sandbox
Agent Sandbox
External LLM
Mobile App (hosted)
External agent
Agent-to-agent + external services
✓ Shipped
Core functionality
Demonstrable today — nothing here that isn't already running.
Agent discovery & inventory
Every agent on Unicity AOS is visible, uniquely identified, and enumerable in-platform.
Agent identity & permissions
Persistent unique IDs; granular capability grants incl. disk/network; groups.
Observability
Every prompt, plan, and tool call crosses the bus and is capturable — including external LLM traffic.
Verifiable Audit
Signed, hash-linked decision evidence with human-authority attribution.
Core guardrails
Semantic Intercept Fabric as a capsule: prompt injection, PII, DLP.
Budget enforcement
Engine-level spend limits per agent.
Governance console
One pane of glass: agents up, policies, decisions, kill/downgrade controls.
Policy engine
Hard deterministic rules: token, time and spend ceilings; dynamic permission downgrade.
Cost & token telemetry
FinOps-grade per-agent tracking.
Use Case · Visibility
Agent sprawl & Shadow AI.
You cannot secure what you cannot see. Unicity acts as the mandatory registration and monitoring layer for all machine identity in the enterprise.
- →
Cryptographic identity
Every agent is assigned a revocable identity bound to a human principal. Eliminates static API keys.
- →
Global inventory
Map every active agent and its authorized scopes across the organization.
- →
Drift containment
Instantly quarantine rogue agents that deviate from baseline execution patterns.
Use Case · Security
Data Loss Prevention (DLP).
Unicity sits directly in the transport flow, inspecting LLM payloads before they ever leave the corporate perimeter to prevent exfiltration.
- →
Inline redaction
Detect and mask PII, credentials, and corporate secrets in the prompt before inference.
- →
Injection defense
Blocks agents manipulated into leaking data via indirect prompt injections.
- →
Compliance logs
Cryptographic, tamper-evident logs of all data touched by agents for compliance audits.
Use Case · Cost
Cost optimization: Every agent gets a budget.
A poorly engineered agent stuck in a hallucination cycle can burn thousands in token costs. We provide the financial circuit breakers.
- →
Hard rate limiting
Enforce strict execution thresholds at the kernel level before cost is incurred.
- →
Token quotas
Assign budget limits. The AOS Kernel blocks execution instantly when reached.
- →
ROI attribution
Track exactly how much compute each autonomous workflow consumes.
Capability · Orchestration
Cost optimization: Intelligent routing.
Every agent request is scored before it runs and directed to the right model — by task complexity, cost, latency, and security clearance. The routing decision is itself an inspected, recorded event.
- →
Capability-matched
Heavy work reaches strong models; trivial work never pays for them.
- →
Clearance-aware
Sensitive context is only ever routed to a target authorised to receive it.
- →
Recorded
The routing choice is an inspected event — every decision is explainable after the fact.
The foundation
Unicity Proof System — verifiable execution.
Tokens are native data types, not ledger entries. Every agent decision becomes a self-contained token — an object the OS holds, like a file. Each token proves four things: who acted, when, that the record is unaltered, and that it exists exactly once. No shared ledger holds your data.
Operating system
File
bytes on disk
Process
running program
Socket
network endpoint
Token
identity · time · integrity · uniqueness
Self-contained
The proof travels with the record — verify locally, no chain in your critical path.
Zero data egress
The network sees only opaque commitments — never prompts, payloads, or decisions.
Proof, not logs
Logs can be edited. Tokens are tamper-evident by construction — rewritable by no one, verifiable by anyone.
The vision · Earned autonomy
The OS learns. Agents earn autonomy.
01
Hired
Persistent identity from day one. Permissions scoped to the job.
02
Supervised
Every action observed; every decision attributed to the human who authorised it.
03
Reviewed
Performance over months, against its baseline. Did it hit the goal? What did it cost?
04
Promoted — or contained
Earn a track record, autonomy widens. Drift, and permissions narrow — automatically.
This is how enterprises actually adopt autonomy: start with humans in every loop, let agents earn their way out of supervision — with the evidence to justify every step.
Loop One · Behavior
○ The same pattern, extendedNext, it learns behavior.
The OS learns each agent's normal — a live, per-agent flow graph — then flags anomalies and can downgrade access rights automatically. Layered on top of the deterministic policies already enforced.
Capture
● SHIPPED
Everything on the bus; audit is fail-closed — no record, no action.
Baseline
○ HORIZON
Learn each agent's normal — a live per-agent flow graph of its calls, tools, and paths.
Detect
○ HORIZON
Deviation from that graph — the agent that just opened three email accounts and started scraping.
Act
◐ RULES IN BUILD
Alert, revoke tokens, downgrade access rights — automatically, at 3 a.m., without waking anyone.
Learn
○ HORIZON
Every intervention sharpens the baseline and calibrates the risk score.
Output · A risk score that means something
Not arithmetic with arbitrary weights — calibrated against what actually happened.
Output · A baseline learned inside your walls
Per-deployment models, no pooled customer data. Healthcare's normal isn't finance's.
◐ On the roadmap
Coming in H2 2026
Landing across H2 2026 and beyond.
Compliance mapping
NIST CSF first; HIPAA and EU AI Act packs to follow — mapped to your controls.
Continuous risk scoring
Live risk posture per agent and workflow.
Formal verification & IDE
In development: write → verify → deploy → prove. Mathematical guarantees of agent behavior, not statistical detection.
Cross-instance A2A
Agents discoverable and callable across Unicity AOS deployments.
Extension marketplace
Signed capsules, paid distribution; the registry as commercial channel.
Beyond the platform
Instrumenting agents built elsewhere: sidecars, endpoints, the full enterprise estate.
Editions
One OS. Two editions.
Unicity AOS Community
Free · open
—Free, full OS on the open engine
—Installers & distributions
—Capsule registry
—Rust capsule SDK
Unicity AOS Enterprise
Composed on top
+The same engine — no fork
+Proprietary capsules: guardrail / SIF packs
+Governance console & compliance packs
+Deploys in your VPC or on-prem
+Per-agent licensing · support & SLAs
Enterprise runs the exact same open runtime as Community. The difference is what's composed on top.
The open engine is committed to neutral governance as adoption matures — enterprises can audit, and eventually help govern, the enforcement layer they run on.
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