AIOS™ Deep Dive

Autonomous Interoperable Operating System for Agents

AIOS (Autonomous Interoperable Operating System) is a clean-slate, agent-first OS where every workload is an AIOS agent. Semantic IPC, shared memory fabric, capability-based security, and built-in PQC form the substrate for large agent estates.

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Solution overview

24

Kernel subsystems

Core, agent-first, and advanced subsystems defined in the AIOS whitepaper.

7

Privileged services

identityd, memoryd, semantic-ipcd, planner, agentsupervisor, networkd, initd.

7

Runtime packages

application, cognitive, ipc, kernel, memory, orchestration, security.

Signals & Proof Points

Agent-first computing proof points

Agents-only

Execution model

All executable workloads are agents targeting the AIOS agent ABI—no legacy processes.

No POSIX/Win32

Compatibility stance

AIOS is not a compatibility layer; there is no ABI/API compatibility with Linux, Windows, macOS, POSIX, or Win32.

PQC-native

Security posture

Kernel and services are designed for post-quantum cryptography from day one, with PQC syscalls and libraries.

Architecture Overview

Single boot path from firmware to agents

AIOS defines a single canonical boot path—from Rust UEFI bootloader through kernel subsystems and system agents up to the runtime and domain agents.

Agents and domain-specific applications run as first-class units on top of the AIOS runtime, targeting the agent ABI instead of process-centric OS APIs.

Responsibilities

  • Host domain agents, tools, and vertical solutions for enterprises and cloud providers.
  • Use TypeScript and Rust SDKs to talk to system services, memory fabric, and kernel primitives.
  • Express policies, capabilities, and telemetry requirements at the agent boundary.

Packages

apps/agentsapps/solutions

Core Capabilities

Semantic IPC, memory fabric, capability security, PQC, and scheduling

Key innovations turn AIOS into an AI-native substrate: semantic IPC, cross-agent memory fabric, capability security, PQC, and an agent-aware scheduler.

Semantic IPC

Separates deterministic binary IPC in the kernel from semantic interpretation in userland so agents communicate by intent, not raw bytes.

  • Binary IPC syscalls in the kernel with bounded message sizes and quotas.
  • semantic-ipcd service translates binary messages into semantic envelopes.
  • Enables intent-level routing and reasoning between agents.

Memory Fabric

Cross-agent shared semantic memory built on kernel primitives and the memoryd service.

  • Kernel shared-page primitives underpin the memory fabric.
  • memoryd manages vector stores, embeddings, and semantic indexes.
  • Agents share cognitive context without breaking isolation boundaries.

Capability Security

Per-agent capability tokens and quotas control every syscall and resource interaction.

  • Capability tokens required for privileged syscalls such as SPAWN_AGENT or ACCESS_NET.
  • Quotas and rate limits enforced per agent and per capability class.
  • Revocation paths and audit trails for sensitive operations.

Post-Quantum Cryptography

Built-in PQC primitives (e.g., Kyber and Dilithium) secure identity, IPC, and storage.

  • PQC syscalls expose key exchange and signature operations from the kernel.
  • Userland libraries wrap PQC for services and agents, backed by secure enclaves/HSM.
  • Roadmap for hybrid classical + PQC migrations and future algorithms.

Agent-Aware Scheduler

A CFS-like scheduler extended with agent-aware priorities, classes, and semantic hints.

  • Weighted fair sharing across large agent estates.
  • Capability-aware priorities and real-time classes for critical agents.
  • Hooks for future SILOX-style semantic scheduling hints.

Adoption Segments

Where AIOS lands first

Initial adoption focuses on AI infrastructure providers, cloud platforms, enterprise AI teams, and sovereign programs that need an AI-native OS layer.

AI & Agent Infrastructure Companies

Agent-native substrates for model and agent providers.

  • Offer AI-native infrastructure tiers backed by AIOS.
  • Differentiate with agent-first scheduling, semantic IPC, and PQC.
  • Run large estates of cooperating agents with OS-level observability.

Cloud Providers

AI-native cloud platforms and sovereign regions.

  • Ship AI-native instance types and managed clusters built on AIOS.
  • Expose agent runtime and services as cloud APIs.
  • Offer sovereign, PQC-secure agent infrastructure for governments.

Enterprise AI Platforms

Internal agent platforms and copilots for large enterprises.

  • Run regulated, auditable agent workflows on AIOS clusters.
  • Connect enterprise data estates to memory fabric with strong isolation.
  • Leverage capability security and audit trails for compliance teams.

Government & Defense

Post-quantum, attestable agent infrastructure for classified workloads.

  • Combine secure boot, attestation, and PQC for mission-critical systems.
  • Deploy AIOS into air-gapped and sovereign environments.
  • Use immutable audit trails to satisfy rigorous oversight.

Telemetry & Governance

Observability, audit, and multi-layer security

Telemetry highlights and governance pillars show how AIOS exposes kernel-level insight while enforcing secure boot, PQC, capability security, and compliance.

Telemetry & Security

  • Kernel Telemetry & Observability

    Built-in counters, traces, and event streams surface syscall, IPC, and scheduler behaviour across agent workloads.

  • Audit & Compliance Streams

    Immutable, hash-chained audit logs capture security events, lifecycle hooks, and compliance artefacts.

  • Performance & Scalability Targets

    Target metrics include sub-microsecond syscalls, millions of IPC messages per second, and tens of thousands of concurrent agents.

Governance Pillars

Secure Boot & Attestation

  • UEFI Secure Boot with signed bootloader and kernel images.
  • TPM-measured boot with PCR extensions for remote attestation.
  • Attestation flows for enclaves and agent identities.

Capability Security & Isolation

  • Capability tokens required for privileged syscalls and resource access.
  • Per-agent quotas and isolation across memory, CPU, network, and storage.
  • Behavioural analysis and anomaly detection layered on top in enterprise distributions.

PQC & Identity Fabric

  • Kernel-level PQC primitives and userland libraries for services and agents.
  • Secure enclave and HSM integration for key storage and operations.
  • Roadmap alignment with NIST PQC transition guidance.

Audit, Compliance & Governance

  • Immutable audit logs designed for SOC 2, HIPAA, GDPR, and sector mandates.
  • Evidence packs and reporting templates for regulators and boards.
  • Hooks for higher-level behavioural analytics in enterprise offerings.

Deployment Models

From MIT core to enterprise and cloud tiers

AIOS begins as an MIT-licensed core on GitHub and extends into enterprise editions, cloud tiers, and OEM/edge distributions.

Open-Source Core (MIT)

Reference AIOS kernel and runtime published on GitHub under the MIT license.

Deployment focus

  • Ideal for research, experimentation, and early adopters.
  • Community contributions and academic collaboration around the agent-first OS.
  • Foundation for higher-tier enterprise and cloud distributions.

Enterprise Edition

Hardened AIOS distribution with support, SLAs, and integration tooling for regulated enterprises.

Deployment focus

  • Signed releases, security backports, and long-term support windows.
  • Integration packs for identity, observability, and change management systems.
  • Professional services for migration, tuning, and certification.

Cloud & Hyperscaler Tiers

Co-engineered AI-native infrastructure tiers for cloud providers.

Deployment focus

  • Managed AIOS clusters exposed as cloud services or instance types.
  • Revenue-sharing and OEM-style models for AI-native infrastructure.
  • Sovereign and regulated-region variants for government and critical infrastructure.

OEM & Edge Deployments

AIOS images tuned for edge devices, appliances, and specialized hardware.

Deployment focus

  • Support for microVMs, containers, and bare-metal deployments at the edge.
  • Hardware attestation and secure boot flows for device fleets.
  • Partnership-focused roadmap for device vendors and integrators.

Roadmap & Workflows

From foundation to self-evolving compute

Roadmap phases track AIOS from foundational kernel work through cloud-scale deployments and into SILOX-style self-evolving compute.

Focus Areas

  • Finalize 24 kernel subsystems and core syscall surface.
  • Deliver Rust UEFI bootloader and measured boot pipeline.
  • Stand up initial system services for identity, memory, and semantic IPC.

Deliverables

  • Public AIOS whitepaper and reference implementation.
  • Developer preview images for early adopters.
  • Initial CI pipelines and conformance tests.

Bootstrapping an AI-native cluster

Stand up a small AIOS cluster for agent experimentation with measured boot, core services, and observability.

  1. Provision hardware or virtual nodes with UEFI Secure Boot enabled.
  2. Install AIOS images, configure identityd, memoryd, and semantic-ipcd.
  3. Deploy initial agents and wire telemetry into existing observability stacks.

Migrating from legacy OS workloads

Incrementally introduce AIOS for new agent workloads while existing systems continue running on legacy OSes.

  1. Identify candidate agent workloads and boundaries.
  2. Map capabilities and security requirements into AIOS policies.
  3. Deploy agents on AIOS clusters and integrate with legacy systems via IPC bridges.

Engage

Interested in AI-native OS deployments?

Explore the open-source AIOS core on GitHub, or reach out to discuss enterprise, cloud, or sovereign deployments.

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