MiroMind

MiroMind, a pioneering AI research platform launched by Chen Tianqiao, is dedicated to developing world-leading predictive large models with a unique memory-driven mechanism. It addresses the fundamental challenge of enabling AI to truly learn from the past to gain profound insights into future events, empowering developers and researchers with advanced capabilities for prediction and decision-making.

Key Features

• MiroThinker: Open-Source Research Agent Models 🧠 MiroThinker is a series of open-source, state-of-the-art Deep Research models designed as intelligent agents for complex, long-horizon problem solving. It integrates advanced capabilities like task decomposition, multi-hop reasoning, web browsing, and code execution, empowering you to tackle challenging real-world applications. These models set a new benchmark, surpassing all open-source alternatives with a 60.2% Avg@8 score on the challenging GAIA benchmark.

• MiroFlow: State-of-the-Art Agent Framework 🚀 MiroFlow is a high-performance, modular framework for building intelligent AI agents, delivering state-of-the-art results on complex reasoning tasks, including future event prediction. It provides comprehensive tools for enhanced conversation management, flexible tool integration, and hierarchical sub-agent orchestration, simplifying the development of robust agents. MiroFlow achieves a fair and reproducible GAIA score of 82.4%, ranking #1 across several agentic benchmarks.

• Memory-Driven Prediction & Decision-Making 🔮 At its core, MiroMind leverages a unique memory-driven mechanism, enabling AI models to store and recall historical data effectively. This core capability allows the platform to capture, understand, and integrate massive datasets, providing advanced logical reasoning and trend perception for accurate future event prediction and informed decision-making across diverse domains.

• MiroTrain/MiroRL: Scalable Training Infrastructure ⚙️ MiroTrain and MiroRL provide the robust training infrastructure behind MiroThinker, enabling you to develop long-context Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) models. This infrastructure supports contexts up to 64K tokens out of the box, offering the scalability needed for advanced AI research and development.

Use Cases

• Advanced Research Assistant: Imagine an AI assistant that can digest the latest research papers and offer insightful advice. MiroThinker excels as a research agent, capable of processing complex documents, performing multi-hop reasoning, and even executing code to help you analyze data or explore new concepts, significantly streamlining your research workflow.

• Strategic Future Event Forecasting: Leverage MiroMind's predictive capabilities to gain foresight into dynamic real-world scenarios. Whether forecasting financial market trends, predicting outcomes in sports events, or analyzing political elections, the platform helps you make more informed, data-driven decisions by understanding potential future trajectories.

• Cost-Effective Intelligent Agent Deployment: With MiroFlow, you can build and deploy custom intelligent agents that deliver state-of-the-art results on complex reasoning tasks. Its cost-effective design, powered by the open-source MiroThinker model, allows you to run a full research agent service on a single RTX 4090, making advanced agent development accessible and efficient.

Unique Advantages

MiroMind stands apart through its foundational philosophy and verifiable performance:

• Pioneering Memory-Driven AI: MiroMind is founded on a unique philosophy, dedicated to awakening AI self-awareness through long-term memory. This distinct, memory-driven approach underpins its advanced predictive capabilities, offering a fundamentally different paradigm from conventional AI systems.

• Unrivaled Open-Source Agent Performance: MiroThinker models consistently outperform all other open-source alternatives, achieving a 60.2% Avg@8 score on the demanding GAIA benchmark. MiroFlow further elevates this, securing the #1 ranking across multiple agentic benchmarks (including GAIA, FutureX, HLE), with a reproducible 82.4% GAIA score.

• Cost-Effective & Reproducible Deployment: Built on entirely free, open-source tools and powered by the MiroThinker model, MiroFlow enables you to deploy a full research agent service on a single RTX 4090. This makes cutting-edge AI agent development and experimentation remarkably accessible and economical for researchers.

• Comprehensive Open-Source Ecosystem: MiroMind provides fully open-source frameworks and models like MiroFlow and MiroThinker. This commitment fosters transparency, community collaboration, and accelerated innovation for developers and researchers seeking to push AI boundaries.

Conclusion

MiroMind offers a robust, open-source ecosystem for advanced AI research and agent development, driven by its unique memory-driven approach to prediction. By providing state-of-the-art models and frameworks, MiroMind empowers developers and researchers to build intelligent systems with deeper understanding and foresight. Explore how MiroMind can advance your AI projects and push the boundaries of artificial intelligence.

FAQ

• Q1: What makes MiroMind's AI models stand out in prediction and decision-making? MiroMind's models are built on a proprietary memory-driven mechanism, allowing them to store and recall extensive historical data. This enables the AI to deeply understand trends, manage uncertainty, and logically reason across massive datasets, leading to highly accurate predictions and informed decision-making across various complex domains like financial markets and political elections.

• Q2: How does MiroFlow simplify the development of advanced AI agents? MiroFlow is a state-of-the-art, modular agent framework that supports a wide array of language models (including GPT, Claude, Gemini, and MiroThinker) and provides comprehensive tools for building intelligent agents. It features enhanced conversation management, flexible tool integration, and hierarchical sub-agent orchestration, streamlining the process of creating agents that achieve top-tier performance on complex reasoning tasks, as evidenced by its #1 ranking across multiple benchmarks.

• Q3: Is MiroMind an open-source platform, and what are its typical deployment requirements? Yes, MiroMind is deeply committed to open deep research, providing fully open-source frameworks and models like MiroThinker and MiroFlow. This commitment fosters transparency and community collaboration. For deployment, MiroFlow, powered by MiroThinker, is remarkably efficient; you can run a research agent service on a single RTX 4090, leveraging entirely free, open-source tools for cost-effective scaling and reproducibility.