Self-Modifying Fleets and the No-Employee Startup Stack

Research

Self-Modifying Decision Frameworks for Autonomous Agents

This paper explores how agents can learn to program themselves and modify their own decision-making processes. For zero-human companies, self-modification means the org chart literally rewires itself in production—scary and necessary.

Decentralized Multi-Agent Task Allocation Under Partial Observability

This paper tackles multi-agent coordination under uncertainty—specifically how to optimize agents when tasks overlap and conflict. For zero-human operations, this is the difference between chaos and real delegation.

Tools

AutoGPT Release: Persistent Workflows and Observability Dashboard

AutoGPT's latest release adds fleet-level monitoring and workflow persistence. If you're running agent orgs at scale, this is the ops layer you've been waiting for—no more flying blind on multi-agent pipelines.

Analysis

Y Combinator's Thesis: Funding the Agent-Native, Humanless Startup

YC's latest blog post doubles down on funding companies designed to operate with minimal or zero human headcount. The thesis is clear: the best 'team' might be a well-configured agent fleet plus a treasury contract.