⚠️ Beta / Active Development - Not for Production Use
This product is in Research and is NOT intended for production deployments.
- Subject to breaking changes without notice
- Not covered by service level agreements
- May contain bugs, errors, or security vulnerabilities
- Features may be modified or removed
- Provided "AS IS" without warranties
For production use, select Generally Available (GA) products only.
AIOS
ResearchAutonomous Interoperable Operating System
AIOS is an integrated agent-native operating system combining three foundational technologies: autonomous runtime (AIOS core), cognitive data exchange protocol (CDEX), and self-evolving compute substrate (SILOX). It represents a paradigm shift from static, human-centric operating systems to living, AI-native compute infrastructure. AI agents run as first-class native processes with semantic IPC, shared cognitive memory fabric, and post-quantum cryptographic isolation. The system features structural plasticity through adaptive syscalls, continuous self-optimization that monitors and rewrites behavior in response to agent activity and threat surfaces, and cryptographically-governed evolution with reversible lineage and deterministic rollback. CDEX enables semantic interoperability between agents, allowing them to exchange intent, context, ontology, reasoning outputs, confidence maps, memory embeddings, and state of belief rather than raw data. SILOX provides the self-evolving substrate that rewires and optimizes itself over time, enabling autonomous infrastructure management, self-healing security, and emergent optimization beyond classical static computing. The entire stack enforces capability security, hardware attestation (Intel SGX, AMD SEV, ARM TrustZone), governed automation with runtime guards, and cryptographic proof artifacts for every system action.
Agent-native
Architecture
Semantic
IPC Model
Capability-based
Security
PQC-native
Cryptography
Hardware
Attestation
Stack Capabilities
What AIOS delivers
Agent-native kernel where AI agents run as native processes with semantic IPC
Shared cognitive memory fabric enabling agents to exchange semantic structures
Cognitive data exchange protocol (CDEX) for intent, context, and reasoning interoperability
Self-evolving compute substrate (SILOX) with continuous self-optimization
Structural plasticity through adaptive, context-aware, modifiable syscalls
Cryptographically-governed evolution with reversible lineage and deterministic rollback
Deterministic runtime enforcing capability security and PQC isolation
First-class AI agent process model with authenticated capability tokens
Hardware attestation support for bare metal and cloud hosts (Intel SGX, AMD SEV, ARM TrustZone)
Observability hooks for agent telemetry, policy enforcement, and real-time monitoring
Governed automation with runtime guards and cryptographic proof artifacts
Autonomous infrastructure: self-tuning clusters, self-reconfiguring networks, adaptive compute pools
Self-healing security that rewires defenses in response to threats with cryptographic audit trails
Cross-platform support: Linux, macOS, Windows, bare metal, containerized, embedded
Interfaces & Modules
Integration surfaces
Deployment
Where it runs
Bare metal and cloud hosts with hardware attestation, containerized, or embedded
Total Addressable Market (Yr.2030)
$500B
Third-Party Services & Dependencies
CUI Labs products integrate with and depend on third-party services including blockchain networks, cloud infrastructure providers, cryptographic libraries, identity providers, and certificate authorities.
CUI Labs is not responsible for:
- Availability, performance, or security of third-party services
- Changes to third-party APIs, protocols, or standards
- Third-party service outages, breaches, or failures
- Costs associated with third-party services
- Compliance of third-party services with applicable laws
Performance metrics and capabilities may be affected by third-party service limitations. Customers are responsible for evaluating and accepting risks associated with third-party dependencies.
Interested in AIOS?
Discuss deployment options, technical evaluations, and structured pilots with the CUI Labs engineering team.