Miku

Powered by a team of AI Agents, Miku plans and coordinates tasks, calling search modules, RAG Flow, and other components to produce high-quality answers with a focus on speed and precision. Results are presented in clean, ad-free interfaces, often structured as comparison tables, event timelines, and more. Its knowledge base feature lets users save and curate search results, making Miku one of the earlier products to combine AI search with personal knowledge management. Its strengths include handling complex queries through Agent orchestration, delivering deeper and more organized answers, and enabling long-term knowledge accumulation via the knowledge base. The tool set is extensible, with a roadmap to build its own search index. Key risks include an unproven business model—AI search value hasn’t yet reached a point where users are willing to pay—and fierce competition in general-purpose search. As an early-stage startup (beta launched in April 2024), resources are limited, feature updates are sparse, and the community is small. Currently free to use via web browser with no deployment needed.