# Agentic Orchestration and Collaboration Hackathon: Project Gallery

- **Event:** [Agentic Orchestration and Collaboration Hackathon](https://cerebralvalley.ai/e/agentic-orchestration-hackathon)
- **When:** Sat, Jan 10 at 9:00 AM – 8:00 PM (PST)
- **Where:** Shack15, San Francisco, CA
- **Hosts:** [MongoDB](https://cerebralvalley.ai/u/mongodb)
- **Projects:** 6 (6 placed)
- **Page:** https://cerebralvalley.ai/e/agentic-orchestration-hackathon/hackathon/gallery

## Projects

### 1. Moongrate

Mongrate is a multi-agent coding system that migrates an app end-to-end from Postgres to MongoDB by having specialized agents analyze schema + code, design a MongoDB model, refactor queries/services, generate migration/backfill scripts, run tests, and produce a migration report — all coordinated via MongoDB “context workspaces”.

- **Placement:** Finalist
- **Team:** [Nelson Lai](https://cerebralvalley.ai/u/chineseman), [Andres Nino](https://cerebralvalley.ai/u/andres)
- **GitHub:** https://github.com/AndresNInou/mongodb_hackathon
- **Demo video:** https://youtu.be/3nRTwVAghCY
- **Project:** https://cerebralvalley.ai/e/agentic-orchestration-hackathon/hackathon/gallery?project=42

### 2. SOGA: Smart Orchestration Glasses Agent

SOGA: Smart Orchestration Glasses Agent

Voice-controlled AI agent orchestration through smart glasses. Spawn specialized agents (Scout, Analyzer, Implementer, Tester) via voice commands - agents execute on desktop while you monitor through glasses.

PROBLEM:
AI agents require laptops/keyboards. Can't access agents when walking, in meetings, or working hands-free.

SOLUTION:
Smart glasses as primary interface. Say "SOGA, debug the auth system" - agents spawn and work autonomously. Check progress by glancing at glasses. Hands-free agent control anywhere.

MONGODB ATLAS:
Bridges mobile glasses ↔ desktop agents with real-time sync (<50ms). Handles conversation persistence, offline resilience, cross-device state. Optimized for battery-constrained wearables.

STACK:
Claude Sonnet 4, desktop daemon, SSE streaming, Mongoose ODM, React dashboard.

Built by smart glasses developers for hands-free AI access.

- **Placement:** Finalist
- **Team:** [Nicolo Micheletti](https://cerebralvalley.ai/u/nic-olo), [Isaiah Ballah](https://cerebralvalley.ai/u/isaiah), [Aryan Farhang](https://cerebralvalley.ai/u/darkstep13)
- **GitHub:** https://github.com/nic-olo/MongoDBHack-MentraOS
- **Demo video:** https://drive.google.com/drive/folders/18Emqezl9RmdSkwSFzJMQk-BOlAt6gOsH?usp=sharing
- **Project:** https://cerebralvalley.ai/e/agentic-orchestration-hackathon/hackathon/gallery?project=69

### 3. EvacuTrace

A multi-agent system that processes real-time video, builds 3D models to simulate the problem using depth estimation, and computes optimal paths for first responders to improve safety and outcomes in building fire and active-attacker scenarios.

- **Placement:** Finalist
- **Team:** [Aksh Parekh](https://cerebralvalley.ai/u/aparekh02)
- **GitHub:** https://github.com/aparekh02/EvacuTrace
- **Demo video:** https://www.loom.com/share/b8b9ab14cef141e2ac2af4d7c4831d39
- **Project:** https://cerebralvalley.ai/e/agentic-orchestration-hackathon/hackathon/gallery?project=71

### 4. Watch and Learn

Long running browser agents struggle when dealing with custom workflows in complex UIs. Watch and Learn is a multi-modal context engine which allows agents to learn from user and agent demonstrations. Each user query is converted to a VoyageAI embedding and queried against existing demonstrations from MongoDB. These demonstrations are then passed into the agent's context. The result is reliable, long-running agents.

- **Placement:** Finalist
- **Team:** [Kion F](https://cerebralvalley.ai/u/kion), [Gaelan Chen](https://cerebralvalley.ai/u/Gii2000), [Matias Szarfer](https://cerebralvalley.ai/u/matiszz), [James Vo](https://cerebralvalley.ai/u/jamjam112)
- **GitHub:** https://github.com/kfallah/watch-and-learn
- **Demo video:** https://youtu.be/m1t-EQc6hxM
- **Project:** https://cerebralvalley.ai/e/agentic-orchestration-hackathon/hackathon/gallery?project=35

### 5. Polaris - Multimodal Threat Intelligence API for Agents

We built Polaris, an open source threat intelligence system that keeps agent workflows aligned with current vulnerabilities. It uses a static 2025 BERT classifier as a baseline, then stays current by pulling live CVEs, generating adversarial tests, and learning new patterns in seconds. It seamlessly lives within production workflows and secures the multi-trillion dollar agentic economy.

- **Placement:** Finalist
- **Team:** [Munam Wasi](https://cerebralvalley.ai/u/MunamWasi), [Johnny Hung](https://cerebralvalley.ai/u/masterfung)
- **GitHub:** https://github.com/NineSunsInc/threat-intelligence-service
- **Demo video:** https://www.loom.com/share/5dc4de83d411470a84ce1ed418e1c776
- **Project:** https://cerebralvalley.ai/e/agentic-orchestration-hackathon/hackathon/gallery?project=51

### 6. JustPrice

JustPrice is your AI Healthcare Advocate, designed to combat predatory medical pricing. Although federal law mandates transparency, hospitals often obscure cost data. JustPrice makes this information accessible and actionable.

- **Placement:** Finalist
- **Team:** [Oscar Hong](https://cerebralvalley.ai/u/sfoscar), [Javokhir Shomuratov](https://cerebralvalley.ai/u/javokhir)
- **GitHub:** https://github.com/ShJavokhir/fairward
- **Demo video:** https://www.youtube.com/@javohir307
- **Project:** https://cerebralvalley.ai/e/agentic-orchestration-hackathon/hackathon/gallery?project=74

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