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| title: OneManCompany Talent Market Explorer | |
| description: Interactive demo of OMC's organizational framework for multi-agent systems - explore Talent recruitment and E²R tree search visualization | |
| app_file: app.py | |
| sdk: gradio | |
| sdk_version: 4.36.0 | |
| # OneManCompany Talent Market Explorer | |
| Interactive exploration of the organizational framework from ["From Skills to Talent: Organising Heterogeneous Agents as a Real-World Company"](https://huggingface.co/papers/2604.22446). | |
| ## Features | |
| - **Talent Market Simulation**: Demonstrates dynamic recruitment of portable agent identities to cover task requirements within budget constraints | |
| - **E²R Tree Search Visualization**: Interactive simulation of the Explore-Execute-Review hierarchical loop with configurable parameters | |
| ## OMC Concepts Demonstrated | |
| 1. **Talent Abstraction**: Encapsulating skills, tools, and runtime configs as portable identities | |
| 2. **On-Demand Recruitment**: Greedy algorithm selecting optimal talent combinations | |
| 3. **E²R Loop**: Explore (decomposition) → Execute (branching) → Review (aggregation) | |
| 4. **Formal Guarantees**: Termination and deadlock-freedom | |
| ## Paper Results | |
| - 84.67% success rate on PRDBench (+15.48pp over SOTA) | |
| - Cross-domain generalization validated | |