MemoryOps AI: governed memory runtime for LLM agents with deletion-leakage evals and context admission [P]

I’ve been building an open-source project called MemoryOps AI . The motivation is that most LLM memory systems are still treated like retrieval layers: message → embed → vector DB → retrieve later That works for demos, but once memory becomes long-lived state, the system needs stronger invariants around what can be stored, retrieved, updated, expired, deleted, audited, and proven not to influence future outputs.