# PSB

- **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:** [Abhishek Darji](https://cerebralvalley.ai/u/abhishekdarji23), [Srinidhi Jaya revanth Srirangarajapally](https://cerebralvalley.ai/u/revanth0211), [Prabhav Goel](https://cerebralvalley.ai/u/PrabhavG), [Ronit Mathur](https://cerebralvalley.ai/u/RonitMathur10)
- **GitHub:** https://github.com/Prabhav-G/mongodb-hacks
- **Demo video:** https://drive.google.com/file/d/1rk_PUXNPLgxAxC0QGZrhKenDQnrAvjc9/view?usp=sharing
- **Gallery:** https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery/68

A distributed AI system where specialized financial agents (Portfolio Manager, Tax Optimizer, Risk Assessor, Market Researcher, Financial Planner, and Compliance) share a hierarchical memory architecture to provide coordinated wealth management advice. The system maintains three memory types—episodic (client interactions), semantic (stable knowledge), and procedural (learned strategies)—with time-decay models and cross-agent indexing to ensure consistent, context-aware recommendations across years-long client relationships. This eliminates redundant data gathering and fragmented advice by enabling all agents to access and contribute to a unified client context stored in a shared vector database.

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Markdown version of https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery/68. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt