Build teams of AI agents that collaborate, automate workflows, and complete complex tasks together.
MiroThinker

About MiroThinker
MiroThinker is a reasoning-focused AI agent designed to plan, execute, verify, and self-improve complex multi-step workflows. Built on a large-parameter model and MiroMind OS, it uses a DAG-based planner/executor with rollback and replan capabilities, along with formal state hashing for stability. The tool integrates tool use such as web browsing, code execution, and document/RAG pipelines, enforcing verification-centric traces to ensure auditability. It continuously learns via policy-as-code, making it suitable for high-stakes tasks where explainable and auditable AI reasoning is critical. Typical applications include production-ready code generation, legal and compliance analysis, financial engineering, and scientific research. By combining structured planning with real-time verification, MiroThinker aims to deliver reliable and transparent AI-driven workflows for professionals requiring precision and accountability in their processes.
Key features
- DAG-based planner/executor with rollback and replan capabilities
- Formal state hashing for stability and traceability
- Tool integration (web browsing, code execution, document/RAG pipelines)
- Verification-centric traces for auditability
- Continuous learning via policy-as-code
- Self-improvement through iterative workflow refinement
- High-stakes task handling (code generation, legal analysis, financial engineering)
- Explainable and auditable AI reasoning
- Multi-step workflow automation
- Rollback and recovery mechanisms
Use cases
- Automating production-ready code generation with verification checks
- Conducting legal and compliance analysis with auditable reasoning trails
- Executing financial engineering workflows requiring precision and transparency
Pros
- Open-source availability for transparency and community collaboration
- High benchmark performance on complex reasoning tasks, including GAIA benchmark
- Built-in verification and auditability through formal state hashing and verification-centric traces
- Supports multi-step workflows with rollback and replan capabilities for stability
- Integrates tool use such as web browsing, code execution, and document/RAG pipelines
Cons
- Requires credits for usage, which may limit access for some users
- Complexity of DAG-based planning may pose a learning curve for new users
- Performance and stability claims are based on benchmarks and may vary in real-world scenarios
Frequently asked questions about MiroThinker
What is MiroThinker designed to do?
MiroThinker is a reasoning-focused AI agent that plans, executes, verifies, and self-improves complex multi-step workflows using a DAG-based planner/executor with rollback and replan capabilities.
Who is MiroThinker suitable for?
It is designed for professionals requiring explainable and auditable AI reasoning, such as developers, researchers, legal analysts, financial engineers, and scientists working on high-stakes tasks.
How does the pricing model work?
MiroThinker uses a credit-based system where each request is classified into tiers (Basic or Pro), with different credit costs depending on complexity. Free users receive a limited number of credits daily.
Does MiroThinker support integrations with other tools?
Yes, it integrates tool use such as web browsing, code execution, and document/RAG pipelines to support complex workflows.
What are the limitations of MiroThinker?
It may have a learning curve due to its DAG-based planning approach, and usage is constrained by the available credits, which could limit access for some users.
How can I get started with MiroThinker?
Users can sign up for a free account to access basic features and credits, or choose a paid plan for additional features and higher credit limits.
MiroThinker Website Engagement
Last Update: 9 days ago
Monthly Traffic
Traffic Sources
Traffic Share By Country
- China70.2%
- Taiwan7.9%
- India5%
- Hong Kong5%
- United States3.7%