Show HN: Prism AI – A research agent that generates 2D/3D visualizations (github.com)

Prism AI has emerged as a groundbreaking open-source research agent designed to enhance the capabilities of traditional Large Language Models (LLMs) in deep research tasks. Unlike existing tools like Perplexity Pro and OpenAI Deep Research, which often fall short in accuracy and context retention, Prism AI employs a Plan-and-Execute architecture. This innovative approach breaks down complex queries into structured components, orchestrating multiple autonomous "Researcher Agents" to conduct parallel investigations, thereby significantly enhancing research efficiency. The system claims to reduce latency by around 80% by leveraging Python’s asyncio for real-time operations. What's particularly significant for the AI/ML community is Prism AI's dynamic synthesis and visualization capabilities; it not only aggregates research findings into cohesive reports but also generates custom visualizations such as charts and diagrams to elucidate complex data effectively. Each assertion made by the agent is transparently cited, ensuring reliability in information sourcing. Built on a scalable microservices architecture with core technologies including Python, LangGraph, and Next.js, Prism AI offers an easily deployable solution for researchers eager to harness advanced AI capabilities for data exploration and analysis. The software is readily available for developers, encouraging contributions and fostering a collaborative evolution of the tool.