How To Build a Personal Agentic Operating System
Summary
Hosted by Nufar Gaspar, this episode introduces AgentOS, a free training program for building a platform-neutral agentic operating system. Gaspar outlines seven layers—identity, context, skills, memory, connections, verification, and automation—to create extensible AI systems for knowledge work. Using a "chief of staff" agent as an example, the discussion emphasizes that underlying system architecture matters more than specific tools, ensuring portability and compounding value as AI capabilities evolve.
Topics discussed
Introduction to AgentOS and AIDB Training
Why Agentic Operating Systems Matter
The Seven Layers of AgentOS Overview
Layer 1: Identity and Rules
Layer 2: Context and Knowledge Curation
Layer 3: Skills and Reusable Workflows
Layer 4: Memory and Retention
Layer 5: Connections and Security
Layer 6: Verification and Auditing
Layer 7: Automations and Compounding Returns
Building Multiple Agents on a Shared OS
Conclusion and Future of Agentic Tools
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