# Agent Circle

- **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:** [RackSavant AI](https://cerebralvalley.ai/u/specs15), [pramod thebe](https://cerebralvalley.ai/u/pthebe)
- **GitHub:** https://github.com/pramodthe/AgentCircle
- **Demo video:** https://youtu.be/kAH0OmrMlek
- **Gallery:** https://cerebralvalley.ai/e/persistent-context-sprint-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/persistent-context-sprint-hackathon/hackathon/gallery/36

A second brain for social media: MongoDB remembers who you are, who you met, and which intros worked — so your agent never starts cold.


AgentCircle is a social network with a durable memory layer, not a chat wrapper. Every member’s agent is a second brain grounded in MongoDB Atlas: resumes, posts, photos, conversations, and introduction outcomes live as documents, chunks, and vectors in one database.

That memory is why the product works. On day one the agent already knows you from what you uploaded. As you post, connect, and interview others, Atlas accumulates context that chat logs throw away. Hybrid $vectorSearch + $search finds people with cited evidence. A shared trust graph stores which intros landed — so one member’s outcome changes who everyone else’s agent recommends next.

The feed is how context enters the system. The second brain is the product: grounded answers, declines when evidence is missing, and introductions you still approve yourself.

Stack: React, FastAPI, LangChain/LangGraph, Fireworks, MongoDB Atlas (documents + reranking + Vector Search).

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Markdown version of https://cerebralvalley.ai/e/persistent-context-sprint-hackathon/hackathon/gallery/36. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt