As the number of information in the Internet constantly increases and the complexity of systems rapidly grows, locating and manipulating complex data has become a difficult task. We propose a self-organizing approach that combines purely decentralized unstructured peer-to-peer (P2P) with space based computing in order to effectively locate and retrieve information from a network. The approach is inspired by swarm intelligence, is distributive and autonomous. As the scalability is a common open issue both for unstructured P2P networks and for coordination models, our approach successfully copes with that by using a biologically inspired multi-agent system. Benchmarks demonstrate powerful query capabilities with a good scalability.