# spArkHAT

- **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:** [Lukasz Zuchowski](https://cerebralvalley.ai/u/LuciferSun)
- **GitHub:** https://github.com/luciferprosun/AIOA-spArkHAT
- **Demo video:** https://youtu.be/zYI-1kjgMI0
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5343

AIOA spArkHAT — Muse Mission Control

Building the future of human-governed AI agents.

AIOA spArkHAT is an evolving multi-model AI agent platform designed to connect intelligent models, developer tools, Linux, Android, and eventually iOS into one secure ecosystem.

For the Meta AI Developer Hackathon, we focused on bringing Meta Muse into our existing AIOA architecture, developing Mission Control and demonstrating AI conversations, technical reasoning, contextual analysis, and proposed developer actions.

Our biggest challenge was integration.

We spent several days working through Android build issues, device connectivity, authentication, permissions, and cross-platform communication. These unexpected challenges reduced the time available to complete our full autonomous-agent workflow.

Rather than bypass security mechanisms to deliver an artificial demonstration, we prioritized working functionality, transparent reporting, and human-controlled execution.

Our prototype includes Muse chat functionality, GitHub READ capabilities, an operator interface, and security-oriented AIOA Core architecture. Our GitHub WRITE integration also reached a tested development stage, but live agent-authorized repository writes were not completed before submission.

And this is not where the project ends.

We are now beginning a structured consolidation of our development branches into one unified AIOA spArkHAT system. Our roadmap includes completing governed agent execution, improving Muse integration, strengthening Linux–Android interoperability, and exploring Muse-powered iOS applications.

We created a separate public engineering postmortem to document the problems, lessons learned, current limitations, and next steps.

We didn't complete every ambitious feature, but we built a foundation that we intend to keep developing beyond the hackathon.

Project repositories

Main platform and source code:

https://github.com/luciferprosun/AIOA-spArkHAT

Meta Hackathon engineering report, challenges and roadmap:

https://github.com/luciferprosun/AIOA-spArkHAT-Meta-2026-Postmortem

AIOA spArkHAT — One architecture. Multiple models. Human control.

## More from Meta Global AI Developer Hackathon

- [Ajali Kit](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5340)
- [Ghost](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5341)
- [Burgeoning](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5342)
- [CarboNOs](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5344)
- [GenOS Team](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5345)
- [Hellsing team](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5346)

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