# mongogov

- **Event:** [Agents in Context Toronto: a MongoDB Hackathon](https://cerebralvalley.ai/e/mongodb-toronto-hackathon)
- **When:** Sat, Nov 14 at 9:00 AM – 9:00 PM (EST)
- **Where:** Toronto, Canada
- **Team:** [frank zhang](https://cerebralvalley.ai/u/wanderszzs)
- **GitHub:** https://github.com/zzhang82/mongogov/tree/main
- **Demo video:** https://www.youtube.com/watch?v=n0-Jay3TdHg
- **Gallery:** https://cerebralvalley.ai/e/mongodb-toronto-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/mongodb-toronto-hackathon/hackathon/gallery/37

MongoGov is governed long-term memory for a customer-support agent, built on MongoDB Atlas. Support runs on repeat questions, and the fix usually already exists, buried in a ticket someone else closed. MongoGov lets an agent learn from closed tickets, but nothing becomes team knowledge until a named human approves it, and every use leaves a receipt.
Memory is governed like code review. A learned fix enters as a candidate and stays invisible to the agent until a person other than the proposer promotes it; the agent's attempt to approve its own memory is refused. Every recall passes two separate checks, similarity and a fix's track record, so a close match that failed before is blocked, with the reason written to the record. Memories live in team namespaces, carry a lifecycle (candidate, active, superseded, retired), and can be revised or forgotten, always by a named human. Every step is sealed into a hash-chained receipt before the next one runs, so a process killed mid-ticket resumes from the chain with nothing repeated and nothing lost: disaster recovery for the memory store.
Measured today, on the event sandbox: repeat tickets fell from 7.00 to 3.60 tool calls with zero wrong fixes; all three lookalike traps were blocked; a kill test resumed at 10 of 10 kill points; 4 of 4 tampered receipts were caught. Track: Memory You Can Govern.

## More from Agents in Context Toronto: a MongoDB Hackathon

- [Yanli](https://cerebralvalley.ai/e/mongodb-toronto-hackathon/hackathon/gallery/34)
- [Strata](https://cerebralvalley.ai/e/mongodb-toronto-hackathon/hackathon/gallery/35)
- [AuditGate](https://cerebralvalley.ai/e/mongodb-toronto-hackathon/hackathon/gallery/36)
- [ArchMind](https://cerebralvalley.ai/e/mongodb-toronto-hackathon/hackathon/gallery/38)
- [Phylax Tower](https://cerebralvalley.ai/e/mongodb-toronto-hackathon/hackathon/gallery/39)
- [Rocket Academy - First Contact](https://cerebralvalley.ai/e/mongodb-toronto-hackathon/hackathon/gallery/40)

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Markdown version of https://cerebralvalley.ai/e/mongodb-toronto-hackathon/hackathon/gallery/37. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt