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A local-first memory store for LLM agents (SQLite)

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HN · launched Dec 14, 2025 · 48 upvotes (top 19%) · 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-first memory store for AI agents using SQLite with vector extensions or simple keyword/relational lookups is standard backend code easily scaffolded by an LLM.

Discussion

16 comments analyzed.

Competitors mentioned: Steve Yegge's Beads, Claude's file-based memory, Redis vector DB, AgentFS, Ollama

Concerns raised: LLM-generated code quality and documentation, Lacks Redis or SQLite vector DB integration, AI-assisted marketing/docs copy, Unnecessary complexity vs. simple file-based alternatives, Redis already solves vector DB problem locally without vendor lock-in

Feature requests: Integration with AgentFS for single-file agent state management, Support for SQLite with vector DB extension

Competitors

Other products that read as similar to this one : 3304 launches clear the similarity bar, closest 8 shown.

Attention rank: #576 of 3305 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 46 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.