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Agent Memory at Monster Scale with Mem0 and ScyllaDB Cloud

ScyllaDB · published 7 July 2026

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https://mem0.ai/

mem0.ai

https://cloud.scylladb.com/

cloud.scylladb.com

https://docs.mem0.ai/components/vectordbs/overview

docs.mem0.ai

Agentic AI State Management with ScyllaDB and LangGraph Read at the source ↗

https://www.scylladb.com/wp-content/uploads/mem01.png

scylladb.com

https://www.scylladb.com/product/scylladb-xcloud/

scylladb.com

Discord, on the Joy of Opinionated Systems Read at the source ↗

https://www.scylladb.com/users/case-study-zillow-scales-background-and-real-time-workloads-with-scylla/

scylladb.com

How Freshworks Cut Cassandra P99 Latency by 95% – with Lower Costs Read at the source ↗

How Tripadvisor Built Real-Time Personalization for its Feature Store with ScyllaDB Read at the source ↗

https://www.youtube.com/watch?v=ZnZ8oqz71bw

youtube.com

How ShareChat Scaled a High-Performance Feature Store From 1M to 1B Features Per Second Read at the source ↗

https://www.scylladb.com/wp-content/uploads/mem02.png

scylladb.com

https://github.com/scylladb/vector-search-examples/tree/main/memory-mem0

github.com

https://docs.mem0.ai/

docs.mem0.ai

https://cloud.docs.scylladb.com/stable/vector-search/

cloud.docs.scylladb.com

https://pypi.org/project/scylla-driver/

pypi.org