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MemoryOps

governed memory infrastructure for AI assistants

Details

External ID
48626034
Source
HN
Company
—
Product
MemoryOps
Website domain
github.com
Launched
June 22, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.12568306010928962
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

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

Enrichment

Theme
ai agent infrastructure and tooling
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
memory infrastructure for ai assistants
Manually corrected
False

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

No comments on this launch.

Competitors

Other products that read as similar to this one — 1946 launches clear the similarity bar, closest 8 shown.

Attention rank: #1636 of 1947 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 236 days after the earliest competitor.

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