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Mnemo

local-first AI memory layer for any LLM (Rust, SQLite,petgraph)

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HN · launched Jun 3, 2026 · 60 upvotes (top 14%) · 0 views

Niche: ai agent memory infrastructure · 350 launches, 16 in the last 7 days ▼ -27% · Explore this niche →

Category and tags

  • Horizontal
  • Data infrastructure
  • Developer
  • AI-native
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Yes A local memory library combining SQLite vector search and Petgraph knowledge-graph structures in Rust is a well-defined wrapper that can be composed with an AI coding assistant.

Discussion

20 comments analyzed.

Competitors mentioned: mori - multi-agent governance layer for shared memory, markbase - markdown-based agent memory across models/harnesses, Obsidian - project-level memory tool, Linear and Notion - for cross-model memory, mnemon - Python-based memory tool

Concerns raised: Auto-extracted memory no better than hand-written docs without human curation, Handling contradictory facts and graph resolution (e.g., person job changes), Hidden state/memory polluting context and making models dumber, Multi-agent writes causing corruption in block-based systems like Notion, Context injection/reinsertion left unspecified

Feature requests: Homebrew tap installation support, Automatic memory forgetting/decay mechanism (TTL system), Handle contradictory facts in knowledge graph, Better cross-harness memory sharing (Claude, Cursor, etc.), Governance/oversight layer for multi-agent memory writes

Competitors

Other products that read as similar to this one : 4633 launches clear the similarity bar, closest 8 shown.

Attention rank: #585 of 4634 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 217 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.