--- title: "oasysdb vs rushdb" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/edwinkys-oasysdb-vs-rush-db-rushdb" tools: ["edwinkys-oasysdb", "rush-db-rushdb"] --- # oasysdb vs rushdb *GraphCanon updated Oct 4, 2026* ## Verdict Pick oasysdb if in-memory vector store for semantic caching with Rust implementation; pick rushdb if rushDB is a graph plus vector database for AI agents running code in TypeScript, needing no schema or migrations but leveraging Neo4j underneath. [oasysdb](https://github.com/edwinkys/oasysdb) reports 376 GitHub stars, 13 forks, and 0 open issues, last pushed Nov 29, 2024. [rushdb](https://rushdb.com) has 323 stars, 26 forks, and 20 open issues, last pushed Aug 31, 2026. Figures are from public GitHub metadata via [oasysdb's repository](https://github.com/edwinkys/oasysdb) and [rushdb's repository](https://github.com/rush-db/rushdb). | | [oasysdb](/tools/edwinkys-oasysdb.md) | [rushdb](/tools/rush-db-rushdb.md) | | --- | --- | --- | | Tagline | In-memory vector store with efficient read and write performance for semantic caching | Graph and vector database for AI agents with zero schema required | | Stars | 376 | 323 | | Forks | 13 | 26 | | Open issues | 0 | 20 | | Language | Rust | TypeScript | | Adopt for | In-memory vector store for semantic caching with Rust implementation. | RushDB is a graph plus vector database for AI agents running code in TypeScript, needing no schema or migrations but leveraging Neo4j underneath. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | Data & Retrieval, Vector Databases | AI Agents, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [oasysdb](/tools/edwinkys-oasysdb.md) | [rushdb](/tools/rush-db-rushdb.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 659d | 19d | | Open issues (now) | 0 | 20 | | Stars delta | +1 (30d) | +4 (30d) | | Open issues delta | 0 (30d) | +2 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/edwinkys-oasysdb/trust.md) | [trust report](/tools/rush-db-rushdb/trust.md) | ## Decision facts: oasysdb - **Adopt for:** In-memory vector store for semantic caching with Rust implementation. ## Decision facts: rushdb - **Adopt for:** RushDB is a graph plus vector database for AI agents running code in TypeScript, needing no schema or migrations but leveraging Neo4j underneath. ## Choose when ### Choose oasysdb if… - oasysdb is primarily Rust; rushdb is TypeScript. - Tags unique to oasysdb: approximate-nearest-neighbors, ivfpq, mysql, postgresql. - Also covers Data & Retrieval. - When you need high-performance read/write operations in a semantic caching scenario using Rust. ### Choose rushdb if… - rushdb is primarily TypeScript; oasysdb is Rust. - Tags unique to rushdb: ai-agents, embeddings, graph-database, neo4j. - Also covers AI Agents. - You require a memory layer for your AI agent that integrates seamlessly with TypeScript-based applications ## When NOT to use oasysdb - If your project strictly requires on-disk persistence over in-memory storage. - When looking for non-Rust technology stack as the primary implementation language. ## When NOT to use rushdb - If you need full control over database schema migrations, as RushDB intentionally does not support this - For environments where the use of Neo4j underlying technology is restricted or not preferred ## Common questions ### What is the difference between oasysdb and rushdb? oasysdb: In-memory vector store with efficient read and write performance for semantic caching. rushdb: Graph and vector database for AI agents with zero schema required. See the comparison table for live GitHub stats and shared categories. ### When should I choose oasysdb over rushdb? Choose oasysdb over rushdb when oasysdb is primarily Rust; rushdb is TypeScript; Tags unique to oasysdb: approximate-nearest-neighbors, ivfpq, mysql, postgresql; Also covers Data & Retrieval; When you need high-performance read/write operations in a semantic caching scenario using Rust. ### When should I choose rushdb over oasysdb? Choose rushdb over oasysdb when rushdb is primarily TypeScript; oasysdb is Rust; Tags unique to rushdb: ai-agents, embeddings, graph-database, neo4j; Also covers AI Agents; You require a memory layer for your AI agent that integrates seamlessly with TypeScript-based applications. ### When should I avoid oasysdb? If your project strictly requires on-disk persistence over in-memory storage. When looking for non-Rust technology stack as the primary implementation language. ### When should I avoid rushdb? If you need full control over database schema migrations, as RushDB intentionally does not support this For environments where the use of Neo4j underlying technology is restricted or not preferred ### Is oasysdb or rushdb more popular on GitHub? oasysdb has more GitHub stars (376 vs 323). Stars measure visibility, not whether either tool fits your constraints. ### Are oasysdb and rushdb open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to oasysdb or rushdb? GraphCanon lists graph-backed alternatives at [oasysdb alternatives](/tools/edwinkys-oasysdb/alternatives) and [rushdb alternatives](/tools/rush-db-rushdb/alternatives) ([oasysdb markdown twin](/tools/edwinkys-oasysdb/alternatives.md), [rushdb markdown twin](/tools/rush-db-rushdb/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/edwinkys-oasysdb-vs-rush-db-rushdb.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, oasysdb or rushdb? oasysdb: Dormant. rushdb: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for oasysdb and rushdb? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [oasysdb trust report](/tools/edwinkys-oasysdb/trust); [rushdb trust report](/tools/rush-db-rushdb/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=edwinkys-oasysdb`](/api/graphcanon/graph?tool=edwinkys-oasysdb) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_