--- title: "moby vs RuVector" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-ruvnet-ruvector" tools: ["moby-moby", "ruvnet-ruvector"] --- # moby vs RuVector *GraphCanon updated Jul 11, 2026* ## Verdict Pick moby when moby is primarily Go; RuVector is Rust; pick RuVector when ruVector is primarily Rust; moby is Go. [moby](https://mobyproject.org/) reports 72k GitHub stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. [RuVector](https://Cognitum.One/RuVector) has 4.3k stars, 572 forks, and 182 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [RuVector's repository](https://github.com/ruvnet/RuVector). | | [moby](/tools/moby-moby.md) | [RuVector](/tools/ruvnet-ruvector.md) | | --- | --- | --- | | Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | RuVector is a High Performance, Real-Time, Self-Learning Ai, Vector GNN, Memory DB built in Rust. | | Stars | 71,899 | 4,347 | | Forks | 19,126 | 572 | | Open issues | 3,821 | 182 | | Language | Go | Rust | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | LLM Frameworks, Inference & Serving, Developer Tools | LLM Frameworks, Vector Databases, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [moby](/tools/moby-moby.md) | [RuVector](/tools/ruvnet-ruvector.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 3.8k | 182 | | Owner type | Organization | User | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/ruvnet-ruvector/trust.md) | ## Choose when ### Choose moby if… - moby is primarily Go; RuVector is Rust. - License: moby is Apache-2.0, RuVector is MIT. - Tags unique to moby: go, docker, golang, containers. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ### Choose RuVector if… - RuVector is primarily Rust; moby is Go. - License: RuVector is MIT, moby is Apache-2.0. - Tags unique to RuVector: gnns, gnn, ai, graph-neural-networks. - Also covers Vector Databases. ## When NOT to use moby - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use RuVector - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between moby and RuVector? moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. RuVector: RuVector is a High Performance, Real-Time, Self-Learning Ai, Vector GNN, Memory DB built in Rust.. See the comparison table for live GitHub stats and shared categories. ### When should I choose moby over RuVector? Choose moby over RuVector when moby is primarily Go; RuVector is Rust; License: moby is Apache-2.0, RuVector is MIT; Tags unique to moby: go, docker, golang, containers; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I choose RuVector over moby? Choose RuVector over moby when RuVector is primarily Rust; moby is Go; License: RuVector is MIT, moby is Apache-2.0; Tags unique to RuVector: gnns, gnn, ai, graph-neural-networks; Also covers Vector Databases. ### When should I avoid moby? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid RuVector? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is moby or RuVector more popular on GitHub? moby has more GitHub stars (71,899 vs 4,347). Stars measure visibility, not whether either tool fits your constraints. ### Are moby and RuVector open source? Yes - both are open-source projects on GitHub (moby: Apache-2.0, RuVector: MIT). ### Where can I find alternatives to moby or RuVector? GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [RuVector alternatives](/tools/ruvnet-ruvector/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [RuVector markdown twin](/tools/ruvnet-ruvector/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/moby-moby-vs-ruvnet-ruvector.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, moby or RuVector? moby: Very active. RuVector: Very 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 moby and RuVector? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [RuVector trust report](/tools/ruvnet-ruvector/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=moby-moby`](/api/graphcanon/graph?tool=moby-moby) - 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/_