@aman_sharma639

Occidere is a multi-agent AI orchestration system designed to simulate real-world enterprise decision-making workflows. The system consists of four specialized AI agents: Policy Compliance, Legal, Risk, and Operations. Each agent evaluates user input from its own perspective, ensuring structured reasoning across company policy, legal constraints, risk analysis, and operational outcomes. Agents collaborate in a controlled workflow where each contributes only when necessary to avoid unnecessary loops. The Operations agent acts as the final synthesizer, producing a clear and actionable conclusion based on all prior inputs. The backend is built using FastAPI, with a Next.js frontend. It integrates LLMs via OpenAI/OpenRouter/Ollama and uses Band SDK for multi-agent orchestration. This project demonstrates how AI agents can replicate structured enterprise decision pipelines, enabling safer and more explainable AI-driven workflows for organizations.

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📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.