Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
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A collection of important graph embedding, classification and representation learning papers with implementations.
- graph2vec
- classification-algorithm
- graph-kernels
- weisfeiler-lehman
An extended platform release manager for Robot Operating System