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KiviDB

The in-memory vector database for AI and real-time apps

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A multithreaded, Redis- and Valkey-compatible in-memory database written in Rust, with full-text search, vector search and JSON built in. An alternative to Redis, Valkey and Dragonfly.

PH · launched Nov 4, 2026 · 2 upvotes (top 19%) · 0 views

Niche: database management systems and engines · 162 launches, 5 in the last 7 days ▼ -17% · Explore this niche →

Category and tags

  • Horizontal
  • Data infrastructure
  • Developer
  • AI feature
  • Commercial product
  • Developer Tools
  • GitHub
  • Tech

Visit website ↗ Source listing ↗

Could you build this?

No A multithreaded, Redis-compatible in-memory database with vector and full-text search is systems-level infrastructure. Protocol compatibility, concurrency, and performance at scale need deep database engineering.

What it would actually take: Building this means implementing the RESP protocol and Redis command semantics in Rust, with a lock-free or sharded in-memory store and persistence. Vector indexes (such as HNSW) and full-text search also need careful engineering. Credibility requires experienced database engineers, extensive correctness and fuzz testing, and benchmarking against Redis and Dragonfly.

Competitors

Other products that read as similar to this one : 1776 launches clear the similarity bar, closest 8 shown.

Attention rank: #350 of 1777 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 371 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.