During January 2026, Staru09 developed an OpenRouter-backed backend provider for the NevaMind-AI/memU repository, enabling seamless access to multiple LLM providers through a unified API. Working end-to-end in Python, they focused on API integration and backend development, implementing support for chat, embeddings, and vision capabilities. Staru09 provided detailed configuration guidance, comprehensive testing instructions, and an example script demonstrating memory-aware conversation processing. This integration reduces vendor lock-in and accelerates experimentation with different LLM providers, laying the foundation for dynamic provider selection and cost-aware routing. The work demonstrated depth in LLM integration and backend architecture, supporting robust, extensible experimentation workflows.