This paper concerns the problem of bridging gaps between two different but hot topics in organizational theory and computer science—knowledge management and distributed artificial intelligence. Knowledge management has become increasingly important for effective operation of organizations and decision making. Two approaches have appeared in knowledge management—people track knowledge management and information technology track knowledge management. Representatives of the first track, as a rule, are educated in humanities while representatives of the second track have education in computer science. As a consequence, these two communities have rather different understanding of the essence of knowledge management. Distributed artificial intelligence community have borrowed ideas from sociology, organizational theory, economics, linguistics, computer science, etc. and have worked out concepts of intelligent agents and multiagent systems. The use of these concepts in knowledge management may produce a synergy effect reaching the balance between both tracks of knowledge management.