The Agentic OS: Wiring the Execution Kernel and Closing the Reliability Loop

Architecture

arXiv: 2507.15001 - The Agentic Company OS: Architecting for Autonomy

This paper presents a concrete architecture for an Agentic Company OS, moving beyond theory to a layered design for resource allocation, verification, and memory. It's the kind of foundational design doc a founder would want to reverse-engineer.

Tools

GitHub: AutoGPT Release Deepens Focus on the Execution Kernel

The new release focuses on the execution kernel—the core loop that actually gets agents to complete complex tasks reliably. For builders, this is less about flash and more about fixing the plumbing that makes zero-human ops possible.

Analysis

In-Depth: The Architecture of an Agentic Company OS

This article directly tackles the 'Agentic Company OS' concept, breaking down the stack for a lights-out business into practical components. It's a solid, opinionated take on how to move from architecture diagrams to a real orchestration layer.

Research

arXiv: 2507.14102 - Self-Improving Agents: Meta-Cognition Without Humans in the Loop

A technical look at how agents can improve their own planning and reasoning without human feedback. This is the research foundation for the 'meta-cognitive layer' that will let zero-human companies self-optimize over time.

arXiv: 2507.16102 - Towards Introspective Agents: Closing the Reliability Loop

Directly addresses the reliability bottleneck by proposing structured introspection for agents during task execution. This is critical research for closing the gap between an agent that works once and one that works every time.