MiroMind’s Open Deep Research Framework Tops FutureX Benchmark, Heralds a New Paradigm in AI

MiroMind, the open-source initiative founded by entrepreneur and philanthropist Tianqiao Chen, has achieved the top ranking on the FutureX benchmark, the world’s first real-time test of AI’s ability to predict unfolding events. MiroMind’s agent framework, Miroflow, rose from sixth place in August to first in September, surpassing leading international competitors.

FutureX, developed by a global consortium including Stanford, Princeton, and Fudan, ByteDance’s SEED Lab, measures how well AI agents anticipate real-world outcomes—from stock market shifts to election results to technology trends. Unlike static benchmarks, FutureX evaluates reasoning and adaptability in dynamic environments.

“The first paradigm of AI was about general knowledge and subject-less reasoning. The new paradigm requires subjects—agents with memory, identity, and goals,” said Chen. “MiroMind is building large models around long-term memory, so AI can make better predictions and ultimately better decisions. We want an AI that reflects people, not replaces them."

While LLMs generate content from general knowledge, MiroMind integrates subject data—individualized, contextual, multimodal, long-term memory—to reason, predict, and converge on the best decisions for each subject. Together, these efforts form a human-centered, AI-powered intelligence platform built on the principles of memory, prediction, and reflection.