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Enterprise-shaped memory governance layer for AI assistants: typed capture, policy evaluation, hybrid retrieval, deletion guarantees, tenant isolation, provenance, and audit.

5 starsPython

MemoryOps – governed memory infrastructure for AI assistants

by pvmanideep20·Jun 22, 2026·5 points·0 comments

AI Analysis

●●SolidBig BrainBold Bet

Typed memory stores with deletion verification when most AI memory is just vector DBs.

Strengths
  • Ten enterprise invariants enforced in code including tenant isolation and deletion guarantees.
  • Background workers handle decay, reflection, conflict resolution, and compression automatically.
  • Append-only audit log tracks every memory lifecycle event for compliance and provenance.
Weaknesses
  • Only 5 stars and 0 forks suggests early stage with limited real-world validation.
  • Memory governance for AI is emerging space with LangChain and vector DB solutions competing.
Category
Target Audience

Enterprise teams building AI assistants with compliance requirements

Similar To

LangChain Memory · Zep · Mem0

Post Description

I built a governed memory layer for AI assistants with deletion compaction, vector purge verification, tenant isolation, and audit evidence.

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