# OrchestrAI

- **Event:** [Llama Lounge Agentic Hackathon](https://cerebralvalley.ai/e/llama-lounge-agentic-hackathon)
- **When:** Feb 27 at 9:00 AM – Feb 28 at 10:00 PM (PST)
- **Where:** 135 Constitution Dr, 8th floor, Menlo Park
- **Placement:** 1st Place
- **Team:** [Jidhnyasaa Mahajan](https://cerebralvalley.ai/u/Jidhnyasaa), [Jake Schwartz](https://cerebralvalley.ai/u/jakesc), [Mihai Bulic](https://cerebralvalley.ai/u/mihai), [Victoria Duan](https://cerebralvalley.ai/u/jq_victoria_d)
- **GitHub:** https://github.com/JakeSc/Snowflakathon/tree/master
- **Demo video:** https://www.loom.com/share/b3fdb5659964492ea9e6181a94b4cbb0
- **Gallery:** https://cerebralvalley.ai/e/llama-lounge-agentic-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/llama-lounge-agentic-hackathon/hackathon/gallery/23

Troubadour AI is an autonomous music orchestration agent that observes real-time events, reasons about emotional context, and dynamically directs adaptive soundtracks and narration using CrewAI, Snowflake, and ElevenLabs. Today, game audio tools are static and rule-based, requiring manual scripting; no autonomous agent exists that can interpret live environments and orchestrate music intelligently. This fills a major market gap across games, VR, films, simulations, and interactive media, where emotional adaptation is critical but currently manual and inflexible. In the future, we will enable agent-to-agent payments via Skyfire, allowing game engines and digital environments to automatically discover, license, and pay music agents in real time, creating a fully autonomous audio economy.

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Markdown version of https://cerebralvalley.ai/e/llama-lounge-agentic-hackathon/hackathon/gallery/23. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt