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# Why AI Agents Need an Operating System

**[IBM Technology](https://daily.dev/sources/ibmtechnology)** · 12 min read · 1 upvotes · 0 comments

## Summary

AI agents are increasingly handling real-world tasks like booking flights, writing code, and managing customer interactions, but most lack the infrastructure to do so reliably. The concept of an 'Agent Operating System' addresses this gap by providing a structured middle layer between agents and infrastructure. This OS consists of six key components: a scheduler/orchestrator to prioritize tasks, a memory manager for short- and long-term recall, a tool manager with sandboxed execution, an identity manager for credentials and audit trails, observability for tracing agent decisions, and guardrails/governance for safety and human-in-the-loop controls. Without this infrastructure, AI agent deployments are fragile and unpredictable; with it, they become scalable and trustworthy.

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daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=IVGjBxqygmI>

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Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#observability](https://daily.dev/tags/observability)

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