| title: AEGIS-10 Conductor | |
| emoji: 🛡️ | |
| colorFrom: red | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 4.0.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # 🛡️ AEGIS-10 Conductor (Window 7) | |
| Multi-Modal AI Architecture Orchestrator that coordinates between 8 specialized AI spaces for comprehensive threat analysis and molecular discovery. | |
| ## Features | |
| - **Tech Entry Node**: Establishes temporal baseline and technology context | |
| - **Strategic Intelligence**: Processes geopolitical and economic factors via DeepSeek-V3 | |
| - **Bio-Pharma Analysis**: Generates protein structures and molecular leads | |
| ## Connected Spaces | |
| - Tech, DeepSeek-V3, War Predictor, Economics, Disease Spillover | |
| - Protein Predictor, Medical Platform, Visual Processing | |
| ## Usage | |
| 1. Enter a simulation year (default: 2026) | |
| 2. Provide an initial threat query or research context | |
| 3. Click "Execute Sovereign Cycle" to run the full pipeline | |
| 4. Review system logs and generated molecular leads | |
| The system uses LangGraph to orchestrate workflows across multiple Hugging Face spaces, providing a unified interface for complex multi-modal AI analysis. | |
| ## Configuration | |
| This space requires the `HF_TOKEN` secret to be set for inter-space communication. The token should have read access to the connected spaces. | |