What is MiroMind?
MiroMind is a general-purpose AI solver designed to empower prediction and accelerate the future. Built on the MiroMind OS, it integrates advanced reasoning, memory continuity, and agentic AI capabilities to tackle complex, multi-step problems across diverse domains. At its core is MiroThinker, a series of open-source state-of-the-art deep research models that excel in stable, accurate reasoning over 100+ step directed acyclic graphs (DAGs). MiroThinker achieves a 60.2% Avg@8 score on the challenging GAIA benchmark, surpassing all open-source competitors while maintaining robustness and reliability.
Key features include system design and failure analysis, hypothesis generation and experiment design, drug discovery, contract analysis and regulatory mapping, and risk modeling with compliance checks. These capabilities make MiroMind ideal for researchers, developers, and enterprises needing precise, explainable AI for high-stakes tasks. For example, it can analyze how major events like the NFP Jobs Report, ISM Services data, or CES announcements might impact financial indices such as the Nasdaq, providing macro-level insights and sector-specific assessments.
Technical details: MiroMind operates on MiroMind OS, which mirrors human intelligence through continuous memory, enabling self-awareness and adaptive learning. The MiroThinker model (235B parameters) is open-source and available on GitHub and HuggingFace, fostering collaboration and transparency. It supports prompt-based reasoning, benchmark performance tracking (e.g., BrowseComp, GAIA), and integration with developer tools. Pricing is flexible with a free tier for basic use and subscription plans for advanced features. Use cases span finance, healthcare, legal tech, and scientific research, where multi-step reasoning and data synthesis are critical. MiroMind is not just a tool but a partner in building honest, patient, and open agentic AI, putting developers first.
Use Cases
Key Features
system design analysis failure analysis hypothesis generation experiment design drug discovery contract analysis regulatory mapping risk modeling compliance checks deep research modelsWho is it for?
researchers, developers, enterprises, data scientists, financial analysts, pharmaceutical teams, legal teams
