
SatoriDB
Self-hosted. AI-native. Blazing fast database
SatoriDB launched on August 6, 2025 with 12 votes, #1,214 of 8,530 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Satori is a blazing-fast, local-first database with natural language querying built-in. Store and query JSON, graph, or text data — no schema, no boilerplate. Install with npm in seconds.
SatoriDB engine
One engine for memory, search, and context. Fully local. Zero cloud dependency. Satori replaces five separate tools — vector store, graph DB, document store, semantic search, and AI memory — with a single self-hosted engine. The Mindspace is its core: a dynamic semantic space that learns context, retrieves it intelligently, and can be shared across multiple agents simultaneously. You're shipping fast. Satori gives you vector search, semantic memory, and a document store in one local install — no API keys, no cloud bills, no config hell. The Mindspace is a better way. It learns context dynamically instead of relying on static chunk retrieval — and it runs on your own infra. Satori is 100%…from satoridb.com
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HelixDB – Open-source vector-graph database for AI applications (Rust)2025 · github.com · ▲237Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…


SatoriDB – Query 1B vectors on a laptop (SQLite for embeddings, Rust)Dec 2025 · github.com · ▲5High performance embedded vector database. Contribute to nubskr/satoriDB development by creating an account on GitHub.

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