[2603.19270] Autonoma: A Hierarchical Multi-Agent Framework for End-to-End Workflow Automation

Computer Science > Computation and Language arXiv:2603.19270 (cs) [Submitted on 27 Feb 2026] Title:Autonoma: A Hierarchical Multi-Agent Framework for End-to-End Workflow Automation Authors:Eslam Reda, Maged Yasser, Sara El-Metwally View a PDF of the paper titled Autonoma: A Hierarchical Multi-Agent Framework for End-to-End Workflow Automation, by Eslam Reda and 2 other authors View PDF Abstract:The increasing complexity of user demands necessitates automation frameworks that can reliably translate open-ended instructions into robust, multi-step workflows. Current monolithic agent architectures often struggle with the challenges of scalability, error propagation, and maintaining focus across diverse tasks. This paper introduces Autonoma, a structured, hierarchical multi-agent framework designed for end-to-end workflow automation from natural language prompts. Autonoma employs a principled, multi-tiered architecture where a high-level Coordinator validates user intent, a Planner generates structured workflows, and a Supervisor dynamically manages the execution by orchestrating a suite of modular, specialized agents (e.g., for web browsing, coding, file management). This clear separation between orchestration logic and specialized execution ensures robustness through active monitoring and error handling, while enabling extensibility by allowing new capabilities to be integrated as plug-and-play agents without modifying the core engine. Implemented as a fully functional system...