# Intent.ai

- **Event:** [Agentic Memory & Context Engineering Hackathon](https://cerebralvalley.ai/e/mongoDB-hackathon)
- **When:** Sat, Oct 11 at 9:00 AM – 10:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Jathin Shettigar](https://cerebralvalley.ai/u/jathin), [omkar Podey](https://cerebralvalley.ai/u/omkarpodey)
- **GitHub:** https://github.com/Omkar399/intent/tree/intent_cache
- **Demo video:** https://drive.google.com/drive/u/1/folders/1LXbHVbVruDGFuFXxrS6874Y-mkI9R2ES
- **Gallery:** https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery/52

Intent Prefetch Demo precomputes the top likely context packs while the user types, using a lightweight predictor, so on submit it reuses the right pack for near-instant responses. This cuts latency and avoids RAG on every request, aligning squarely with Seed Retrieval Optimization and Memory-Informed Experiences.

---

Markdown version of https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery/52. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt