Slater: A Low‑Memory Graph Database Optimized for Read‑Heavy Workloads

Slater is presented as a graph database with a low memory footprint. It targets scenarios where read operations dominate graph workloads. The repository provides source code and documentation for deployment. Slater’s architecture focuses on efficient data retrieval. It claims to reduce RAM usage compared with traditional graph databases. The project is hosted on GitHub under the Hikari‑Systems organization. Users can integrate Slater into applications that require fast read access. Ongoing development and community contributions are welcomed.