# mountain-dew-esports

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Louwis Alfred Nabayan](https://cerebralvalley.ai/u/LA1)
- **GitHub:** https://github.com/qqLA777/omni-io
- **Demo video:** https://drive.google.com/drive/folders/1oZMGSDy_WAVMe2w8TbZnGWNy26G-36TJ?usp=sharing
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3404

Hybrid Multi-Backend Compute Routing: Omen abstracts inference behind a pluggable orchestration layer. Developers can assign a different runtime to each agent and hot-swap it mid-session. Supported runtimes include local daemons (Ollama, llama.cpp), serverless cloud GPUs (Modal T4/A100/H100), and external APIs (Meta Muse Spark/Wonder, DeepSeek-V3/R1, OpenAI GPT-4o).
Distributed LAN Hardware and VRAM Pooling: Omen clusters multiple machines on the same local network (e.g., an Apple M4 workstation and a Windows RTX 3050 laptop). A zero-install, 4-digit PIN web pairing portal (omen-worker.exe) connects them. Omen then splits model layers across the combined VRAM and distributes CPU threads, enabling fully offline token ingestion, AST parsing, and large-context inference.
Multi-File Agentic Diff Engine and Workspace Scoping: Through the Agent Hub and execution manager, models can reason over any project subtree and stream edits across multiple files simultaneously. Changes appear as atomic unified or side-by-side diffs with transactional Accept and Reject controls.
Local-First RAG and Real-Time Context Telemetry: An embedded vector database (supporting nomic-embed-text and bge-m3) provides privacy-preserving semantic codebase indexing. A live Context Token and KV-Cache Meter shows prompt capacity and context window usage, up to 1,000,000 tokens.

## More from Meta Global AI Developer Hackathon

- [TerraResponse AI](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3401)
- [PostPlay](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3402)
- [LumiLattice](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3403)
- [V.E.R.S.O.](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3405)
- [RealityForge](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3406)
- [Ultimamind](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3407)

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Markdown version of https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3404. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt
