Most AI systems can remember new information. But what happens when the information they already believe turns out to be wrong?
That's the question Arpit Kumar explored with FALSIFY during The Hangover Hackathon. Built with @cognee_, the project goes beyond simply storing new
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- What happens after an AI learns something that's no longer true? That question led @harshitha_codes to build MemoryScope during The Hangover Hackathon. Built with @cognee_, the project doesn't just help AI remember information, it keeps track of every answer the AI has given and
- AI memory is only useful if it knows what to remember and what to forget. That's the problem Engram by Aditya Pandey set out to solve during The Hangover Hackathon. Built with @cognee_, Engram doesn't just store information. It detects conflicting facts, helps users decide which
- When an incident strikes, engineers shouldn't have to solve the same problem all over again. That's the idea behind MemOps, built by @NarangPriyansh during The Hangover Hackathon. Using @cognee_ Cloud, MemOps remembers incidents, runbooks, and post mortems so every outage
- AI assistants are great until you open a new chat and have to explain everything all over again. MemoryOS was built to solve exactly that problem. Built by Shubham during The Hangover Hackathon using @cognee_, MemoryOS gives multiple AI specialists one shared memory. Teach the

