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MiroFlow is a high-performance open-source framework designed for building intelligent AI agents capable of solving complex reasoning and research tasks. The system introduces a hierarchical architecture that organizes components into control, agent, and foundation layers, allowing developers to manage agent orchestration and tool interactions in a structured manner. One of the core innovations of MiroFlow is its use of agent graphs, which enable flexible orchestration of multiple sub-agents and tools in order to complete complex workflows. This architecture allows agents to perform advanced reasoning tasks such as deep research, future event prediction, and multi-step knowledge analysis. The framework emphasizes reliability and scalability by incorporating robust workflow execution, concurrency management, and fault-tolerant design to handle unstable APIs or network conditions.
Features
- Hierarchical architecture separating control, agent, and foundation layers
- Agent graph orchestration enabling complex multi-agent workflows
- High concurrency and fault-tolerant execution for large tasks
- Integration with external tools and APIs for data retrieval and analysis
- Benchmark-proven performance across multiple research agent evaluations
- Modular framework enabling customization and extension of agent behaviors
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