oasysdb
In-memory vector store with efficient read and write performance for semantic caching
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
In-memory vector store for semantic caching with Rust implementation.
Good fit when
- When you need high-performance read/write operations in a semantic caching scenario using Rust.
- For projects preferring Apache-2.0 licensing and open-source contributions.
Avoid when
- If your project strictly requires on-disk persistence over in-memory storage.
- When looking for non-Rust technology stack as the primary implementation language.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (659d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
cargo add oasysdbSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
oasysdb is an in-memory vector database designed specifically for high-performance read and write operations suitable for use as a semantic caching and retrieval system. It supports various backends including MySQL, PostgreSQL, SQLite and is implemented in Rust.
Capability facts
- Languages
- rust
Source: github.language · Sep 20, 2026
Categories
Tags
README
Notice This repository is not currently maintained. I initially created this project to learn more about databases and Rust. As times goes on, I actually learned from this project and the people who used it. Unfortunately, most open source projects doesn't generate enough revenue...
For agents
This page has a .md twin and JSON over the API.