# Recall

- **Event:** [The Persistent Context Sprint Hackathon | Live at MongoDB .Local Build Fest](https://cerebralvalley.ai/e/persistent-context-sprint-hackathon)
- **When:** Thu, Aug 13 at 12:30 – 8:00 PM (PDT)
- **Where:** Pier 48, San Francisco, CA
- **Team:** [Minakshi Mukherjee](https://cerebralvalley.ai/u/nori_84853)
- **GitHub:** https://github.com/adaboostmm/MongoDB_persistent
- **Demo video:** https://youtu.be/Rt1xwkPy-3k
- **Gallery:** https://cerebralvalley.ai/e/persistent-context-sprint-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/persistent-context-sprint-hackathon/hackathon/gallery/78

Recall — The system remembers, then recalls a decision when the world changes: it's a Memory-Grounded Financial Decision Pipeline.
Most news-to-signal tools are stateless. They read one article and answer: "how bullish is this?"
I answer a different question: what changed in the world since the last decision, and what does that invalidate? It’s a diff to the world model.

---

Markdown version of https://cerebralvalley.ai/e/persistent-context-sprint-hackathon/hackathon/gallery/78. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt
