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The era of the single LLM response is over. In this video, we dive into Miroofish, the viral open-source "Swarm Intelligence" engine that just secured $4.1M in funding within 24 hours of its release. See how 10,000+ AI agents use Graph RAG and "Cross-Agent Debate" to reach a consensus that beats any single AI model. What we cover: 📈 The Demo: Predicting global oil prices based on Middle East news events. 🧠 The Tech: How Graph RAG creates deeper reasoning than flat vector searches. 🤖 Local vs Cloud: Running Qwen 2.5 via Ollama on a MacBook M1 vs. 10,000 agents in the cloud. 💰 The Story: How a 20-year-old developer got the attention of billionaires. Links Mentioned: Miroofish: https://miroofish.ai/ OpenxAI Network: https://openxai.org/ Oasis Framework: https://oasis.camel-ai.org/ Timestamps: 0:00 - What is Swarm Intelligence? 1:15 - Graph RAG vs. Traditional RAG 2:50 - The Tech Stack: Qwen, Ollama, & Zep 4:30 - Oil Price Prediction Demo 6:30 - Why Cross-Agent Debate wins 10:30 - The Results: Reaching Consensus 13:40 - The $4.1M Funding Story 15:00 - Use Cases: Finance, PR, & Politics Want the code? Let us know in the comments if you want this demo open-sourced on Next.js/Vercel!