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MemoryOps

governed memory infrastructure for AI assistants

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

HN · launched Jun 22, 2026 · 5 upvotes (top 87%) · 0 views

Niche: ai agent memory infrastructure · 350 launches, 11 in the last 7 days ▼ -58% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • B2B
  • AI-native
  • Commercial product

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Could you build this?

Partial While multi-tenant API wrapping and audit logging are straightforward, mathematically verifying purges and compaction across approximate nearest-neighbor vector indexes requires specialized database internals knowledge.

What it would actually take: A production version requires a custom vector storage engine or deep extensions to HNSW/IVF index implementations (such as pgvector or Qdrant internals) to guarantee verifiable tombstoning and graph re-indexing without data retention leaks. It needs an immutable cryptographic audit ledger and verifiable compute pipelines, requiring expertise in distributed storage systems and privacy compliance engineering.

Discussion

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Competitors

Other products that read as similar to this one : 4364 launches clear the similarity bar, closest 8 shown.

Attention rank: #3739 of 4365 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 236 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.