1104 Copyright © 2013, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Chapter 63 Carlos M. Toledo Institute of Development and Design, Argentina & National Council of Scientifc and Technological Research, Argentina Omar Chiotti Institute of Development and Design, Argentina & National Council of Scientifc and Technological Research, Argentina María R. Galli Institute of Development and Design, Argentina & National Council of Scientifc and Technological Research, Argentina A Multi-Agent Knowledge Management System for Reactive and Proactive Knowledge Supply ABSTRACT This chapter presents an agent-based architecture for integrating organizational knowledge repositories and business processes orchestrated by a workfow management system. This architecture proactively provides relevant knowledge to workfow tasks considering their context, and stores the information generated by its execution for future requirements. It describes components of the architecture, models a multi-agent system that enables the integration, presents a strategy to annotate and retrieval knowledge of non-structured information sources, and defnes a new workfow pattern to be used in knowledge intensive tasks in order to make possible the knowledge provision. This architecture allows workers to count, in a proactive way, with all necessary information for the task executions without suspending their activities to retrieve information scattered in the organization. It reduces the wasted time in manual knowledge searches included in mostly knowledge management approaches. DOI: 10.4018/978-1-4666-4153-2.ch063