A privacy-first framework
for safe agentic AI.
Mira OS is the infrastructure layer for privacy-first and controllable AI applications.
Developed by deAI Labs for enterprise deployment, long-term trust, and safe user-facing systems.
Framework
Mira OS is the layer that makes
agentic AI safe to deploy.
Developed by deAI Labs, Mira OS combines privacy, memory, orchestration, and control into one framework for trustworthy AI systems.
Privacy-first architecture
Built so user data stays controlled, isolated, and protected from model training by default.
Persistent context layer
Memory, context, and retrieval are designed to remain useful across workflows, systems, and time.
Controlled agent actions
Human approval stays in the loop where it matters, so automation remains safe and predictable.
Enterprise integration layer
Mira OS sits above existing systems and makes fragmented knowledge usable without replacing everything.
Compliance-ready foundation
Designed for strong privacy requirements, clear controls, and safer deployment in enterprise environments.
Built for real applications
From enterprise knowledge systems to future user-facing products, the framework is built to scale responsibly.
Built for enterprise applications today and safer user-facing systems over time.
System flow
How Mira OS turns fragmented
context into safe AI behavior.
The framework is designed to make real-world AI systems usable, controllable, and aligned with enterprise requirements.
Connect and structure context
Mira OS maps the relevant systems, knowledge sources, and workflows that an application needs to operate safely.
Apply memory and control
The framework links relevant information, preserves context, and applies the controls needed for reliable operation.
Action ready
Policy-aligned and reviewable
Deploy safe AI workflows
Applications built on Mira OS can deliver useful automation while preserving approval, traceability, and user trust.
Safety, privacy, and control
Safe agentic AI requires
more than a model.
Mira OS is being developed by deAI Labs as a framework for AI systems that users and organizations can actually trust in practice, not just in principle.
Controlled data boundaries
Sensitive information stays within clear technical and organizational boundaries.
Isolated memory and storage
Context and memory are designed to remain separated, attributable, and easier to govern.
No training on customer data
Mira OS is built for deployments where user trust and privacy cannot be compromised.
Your Vault
Mira OS for enterprise deployment.
Platform access for the team.
Explore how deAI Labs is developing Mira OS as a framework for safe, compliant, and privacy-first agentic AI applications. Sign in remains available for the internal product layer.