Information overload is the greatest bottleneck in modern scientific research. Researchers are forced to manually track citations, compare methodologies across dozens of PDFs, and synthesize complex findings , a process that takes weeks. Nagi is a complete, multi-agent AI research suite designed to accelerate scientific discovery, built for the Unicorn Track and powered entirely by the Fireworks AI API (Gemma 2 9B and Llama 3.1) running on AMD infrastructure. Instead of a single chatbot, Nagi provides a suite of specialized, high-performance AI tools: Autonomous Spatial Canvas: An infinite workspace where a dedicated Canvas Agent visually maps citation networks, clusters papers by theme, and structures thoughts. Literature Review & Compare Agents: Tools that ingest multiple papers simultaneously to generate side-by-side methodological comparisons and synthesize sprawling literature into digestible insights. Gap & Evidence Analyzers: Agents that rigorously evaluate the strength of a paper's claims and automatically identify "research gaps" to inspire new hypotheses. AI Academic Writer: A collaborative writing agent that helps draft papers based on the accumulated research context. By deeply integrating the OpenAlex academic database with the blinding speed of Fireworks AI, Nagi's agents operate in real-time. It transforms the solitary, grueling process of academic research into a highly visual, AI-accelerated collaboration. Complete with a premium glassmorphic UI, Nagi represents the next generation of spatial and agentic research tools.
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