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Natural-forming multi-agent systems (aka Swarms) can grow to enormous sizes and perform seemingly complex tasks without the existence of any centralized control. Their success comes from the fact that agents are simple and the interaction with the environment and neighboring agents is local in nature. In this paper we discuss the implementation of SwarmLinda, a Linda-based system that abstracts Linda concepts in terms of swarm intelligence constructs such as scents and stigmergy. The goal of this implementation is to achieve many characteristics such as scalability, adaptiveness and some level of fault tolerance. This paper describes our initial version of SwarmLinda and future steps to improving the implementation.

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