Show HN: Nemilia – multi-agent AI workspace in a single HTML file, no back end (github.com)

Nemilia has introduced a groundbreaking AI workspace entirely contained within a single HTML file, eliminating the need for backend servers, installations, or account setups. This innovative platform allows users to orchestrate multiple AI agents—each designed for specific roles like research, analysis, writing, and reviewing—creating seamless workflows for complex tasks. With features such as document retrieval-augmented generation (RAG) and live web research, Nemilia enables efficient and collaborative AI-driven content creation, all while prioritizing user privacy through a client-side architecture. This development is significant for the AI/ML community as it democratizes access to multi-agent AI capabilities, allowing individuals and teams to harness sophisticated workflows without relying on third-party platforms that typically require data sharing or subscriptions. Furthermore, Nemilia's architecture supports offline functionality via WebGPU, and users can easily switch between various AI providers, ensuring versatility and adaptability in their workflows. The ability to execute models directly in the browser contributes to a significant reduction in dependency on cloud services, thereby enhancing both privacy and control over data management.