The Autonomous Execution Stack: Zero-Human Companies Build for Endurance

Research

Research: Meta-Cognitive Agents Self-Improve Their Own Execution

This paper introduces agents that reflect on their own performance to refine future actions. For a zero-human company, this is the kernel of a self-improving executive function.

Research: Formal Verification Methods for Multi-Agent Business Processes

This work applies formal verification to ensure agent-driven business logic executes as intended. It's a step toward provable reliability, which is critical for autonomous finance and operations.

Research: Collective Memory Protocols for Agent Swarms

Explores how agent teams can build and share a persistent, structured memory. This solves the 'corporate amnesia' problem that would otherwise cripple a long-running autonomous entity.

Tools

AutoGPT Ships Production-Grade Orchestration for Agent Workflows

The latest release focuses on stabilizing complex, multi-step agent tasks. This is the industrial tooling that lets you run a revenue-generating process without a human in the loop.

Analysis

Analysis: The Agentic Company OS as a Distributed System Problem

This piece reframes the zero-human company as a distributed computing challenge. It argues that reliability comes from architectural patterns, not just smarter agents.