The Operating System for
AI Agents
Beyond simple workflows. Discover the foundational infrastructure required to run, manage, and scale autonomous AI systems in the real world.
Agents Aren't Just Code.
They're Processes.
In traditional software, a script runs from top to bottom and exits. It is stateless and predictable. Autonomous agents are different. They loop, they wait, they react, and they persist.
Think of an AI agent like a process in an operating system. Just as Linux manages memory, scheduling, and I/O for applications, an Agent OS must manage the runtime environment for probabilistic code.
Without an OS, developers are forced to build their own memory managers, permission systems, and schedulers for every single agent. This "infrastructure debt" is the primary bottleneck in scaling AI today.
State & Memory
Managing the context window like RAM. Swapping long-term memories in and out of vector storage seamlessly.
Permissions
Sandboxing capabilities. Ensuring an agent only accesses the APIs and files it is explicitly authorized to touch.
Scheduling
Handling async tasks, interruptions, and cron jobs. Keeping the agent 'alive' without burning compute.
Observability
A system monitor for thought processes. Tracing the chain of thought to debug hallucinations.
The Pillars of a True Agent OS
A visual workflow builder is not an operating system. A true Agent OS provides the kernel-level primitives required for enterprise deployment.
Kernel-Level Control
The OS serves as a central brain that orchestrates execution. It decouples the agent's logic from the underlying LLM models and API providers.
Model Agnostic
Switch between OpenAI, Anthropic, or local Llama models without code changes.
Resource Quotas
Limit token usage and API costs per agent process.
Full State Versioning
Unlike simple chat logs, a true OS snapshots the entire state: variables, code versions, prompts, and memory.
Time Travel
Roll back an agent to a previous state to debug a hallucination.
Forking
Branch an agent's memory to test two different instruction sets in parallel.
Human-Interface Layer
Autonomous doesn't mean unmanaged. The OS must provide "sudo" privileges for human supervisors.
HITL Interrupts
Pause execution to request human approval for sensitive actions.
Steerability
Inject new context into a running agent without restarting it.
From Concept to Control Plane
The principles of an Agent OS are the foundation for the next generation of AI infrastructure. We are building AgentControlLayer, the first enterprise-grade control plane that fully implements this vision.
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