AgelClaw: An Agentic Operating System for Autonomous AI Agent Orchestration
Year: 2026
Type: article
Abstract: The emergence of large language models (LLMs) has catalyzed a paradigm shift from passive AI assistants to autonomous agent systems capable of sustained, goal-directed operation. This paper introduces AgelClaw, a proprietary Agentic Operating System (Agentic OS) that reconceptualizes traditional operating system abstractions for AI agent orchestration. AgelClaw implements a complete OS-equivalent architecture comprising a daemon-based kernel with preemptive scheduling, subagents as first-class processes, a Model Context Protocol (MCP) server ecosystem analogous to device drivers, persistent SQLite-based memory serving as a unified filesystem, and multi-provider AI routing functioning as a hardware abstraction layer. Notably, AgelClaw was developed by a single engineer, demonstrating that the Agentic OS paradigm is not only theoretically sound but practically achievable without organizational resources.
Author: Drakos, Stefanos
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7140214510
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