OpenAgent: A Modular Framework for Autonomous Multi-Tool Agent Orchestration with Memory-Enabled Planning
Abstract
OpenAgent v0.1.0 A modular Python framework for building autonomous LLM agents with memory-enabled multi-step execution. Key Features Hierarchical agent architecture (Manus, Planning, ReAct, SWE agents) Memory-enabled planning with artifact tracking Extensible tool framework with 8+ built-in tools Graceful degradation with LLM-based fallback Documentation Full paper: paper.md Architecture diagram: figures/architecture.png Citation See CITATION.cff for citation information
Fields of Study & Subjects
AI-based Problem Solving and Planning
Artificial Intelligence Applications
Multi-Agent Systems and Negotiation
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 19 January 2026