Ambient Assisted Living (AAL) technologies support ageing populations, particularly those with early-stage dementia, but existing middleware is often too complex for resource-constrained home environments. This research introduces a lightweight, flexible middleware for AAL systems, optimised for limited-resource settings. Implemented at the SEArch and Smart Spaces Lab, Middlesex University, it integrates components like a real-time event reasoner, location detection system, and behaviour learning module, enhancing interoperability. The event-based architecture improves processing and data transformation within an existing system architecture. Tests using three simulated daily activities implemented in the Smart Spaces Lab at Middlesex University demonstrate the middleware’s efficiency and effective communication among system components.