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MiroThinker is an open-source deep research AI agent designed to perform complex reasoning, information gathering, and predictive analysis tasks. The system focuses on enabling long-horizon research workflows by allowing the agent to interact repeatedly with external tools, search systems, and data sources while refining its reasoning through iterative steps. Rather than simply generating responses from a single prompt, the agent performs structured multi-step reasoning processes that involve searching for information, analyzing evidence, and synthesizing conclusions. The platform is optimized for research tasks such as financial forecasting, knowledge discovery, and large-scale information synthesis. MiroThinker has been evaluated on several agent benchmarks and has demonstrated strong performance on tests designed to measure deep research capabilities.
Features
- Deep research agent architecture optimized for complex reasoning tasks
- Multi-step tool interaction for searching, data retrieval, and analysis
- Support for large context windows enabling extended reasoning chains
- Benchmark-optimized performance on tasks such as GAIA and BrowseComp
- Integration with datasets and frameworks for training research agents
- Interactive scaling approach that improves performance through environment feedback
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