MiroMind

What is MiroMind?

MiroMind.ai is a next-generation AI research institute based in Singapore and San Francisco, specializing in foundational technologies for long-term memory and self-reflective AI agents that evolve beyond reactive tools. It powers MiroThinker, a 235B parameter verification-centric reasoning model with components like Planner, Executor, ChainChecker, and Verifier, designed for stable, accurate multi-step DAG reasoning under MiroMind OS. The platform emphasizes open-source development, releasing models and frameworks on GitHub for deep research, tool use, and domains like software engineering, financial modeling, and health management. MiroMind serves users by enabling intelligent prediction agents that verify every step, ensuring certainty in complex tasks rather than superficial chat. Its mission is to mirror and connect human intelligence with AI through continuous self-improvement and production-ready applications.

How to use MiroMind?

Visit https://www.miromind.ai or dr.miromind.ai to explore MiroThinker and MiroMind OS demos; download open-source models and frameworks like MiroThinker, MiroFlow from GitHub repositories at github.com/MiroMindAI; integrate via Hugging Face at huggingface.co/miromind-ai; join Discord for community support; deploy for reasoning tasks by defining goals, letting the Planner create DAGs, Executor run tools, and Verifier ensure accuracy; test on benchmarks like GAIA for agentic performance.

MiroMind's Core Features

• MiroThinker 235B model for verification-centric reasoning with Planner, Executor, ChainChecker, and Verifier .

• MiroMind OS manages DAG reasoning, branching, rollback, and replanning for complex tasks .

• Structured memory across local, cross-step, and global contexts for state management.

• Self-evolution via internal benchmarks and self-surgery in code, math, and finance .

• Open-source GitHub repos including MiroFlow agent framework and MiroTrain for post-training.

• High benchmark scores on GAIA, BrowseComp, and agentic tasks rivaling closed models.

• Tool integration with logging for elapsed time, costs, and code diffs.

• Policy-as-Code for safe self-modification and governance.

• Applications in Menos AI for investing, Theta Health, and Tanka operations .

MiroMind's Use Cases

• #1

  Deep research with long-horizon tool use

• #2

  Autonomous software engineering and debugging

• #3

  Financial risk modeling and algorithmic trading

• #4

  Health data unification from wearables

• #5

  Multi-agent system development

• #6

  Mathematical reasoning and verification

• #7

  Complex problem-solving with DAG reasoning