SynapseFlow

关于

SynapseFlow is a production-ready AI research assistant designed to revolutionize academic and R&D workflows by orchestrating 66 specialized AI agents. Leveraging the Model Context Protocol (MCP), it autonomously performs cross-domain literature reviews, citation analysis, and hypothesis generation in seconds, capable of processing over 1,000 papers per minute. It features an interactive D3.js-powered citation graph, high-performance vector search, and self-learning capabilities, providing deep insights and accelerating research discovery across various fields.

主要功能

• Orchestrates 66 specialized AI agents with 213 MCP tools for comprehensive research automation
• Offers real-time streaming of research updates and agent progress via Server-Sent Events
• Achieves 150x faster vector search and 10-15x speedup with WebAssembly neural networks
• Provides interactive D3.js force-directed citation graph visualization with PageRank algorithm
• 0 GitHub stars
• Performs AI-powered analysis with 11 HuggingFace tasks, Llama 3.1 for hypothesis generation, and self-learning memory

使用案例

• Accelerating academic literature reviews, citation analysis, and trend tracking
• Discovering cross-domain connections and generating automated hypotheses for R&D teams
• Supporting PhD students and research labs with automated paper discovery and insight generation