# Hathor

- **Event:** [Built with Opus 4.7: a Claude Code hackathon](https://cerebralvalley.ai/e/built-with-4-7-hackathon)
- **When:** Apr 21 at 12:00 PM – Apr 27 at 2:00 AM (EDT)
- **Where:** Online
- **Team:** [Ahmed Zayed](https://cerebralvalley.ai/u/DrZayed)
- **GitHub:** https://github.com/DrAhmed7887/hathor
- **Demo video:** https://youtu.be/WPEnTkUN-fI
- **Gallery:** https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery/85

Hathor is an autonomous clinical reasoning agent for cross-border vaccination reconciliation. A child arrives in Egypt with a Nigerian (or Sudanese, Syrian, Yemeni…) vaccination card; Hathor reads the card, resolves trade-name combinations to canonical antigens, checks every dose against the destination schedule, and emits a visit-by-visit catch-up plan — all with the agent deciding its own tool path, no hardcoded pipeline. Built on the Claude Agent SDK with eight in-process MCP tools and two safety loops: a per-field vision gate (anything < 0.85 confidence routes to clinician HITL review) and a per-recommendation rules-engine gate (a deterministic Python WHO-DAK validator vetoes any clinical claim before it reaches the UI or FHIR bundle). The clinician retains final authority and every override is logged to a FHIR Provenance resource. No open-source tool exists for autonomous cross-schedule reconciliation today; the closest prior work (AI-VaxGuide, arXiv 2507.03493) is single-country Q&A.

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Markdown version of https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery/85. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt