{"data":{"slug":"ruvnet-ruvector","name":"RuVector","tagline":"High Performance Real-Time Self-Learning Ai Vector GNN Memory DB","github_url":"https://github.com/ruvnet/RuVector","owner":"ruvnet","repo":"RuVector","owner_avatar_url":"https://avatars.githubusercontent.com/u/2934394?v=4","primary_language":"Rust","stars":4447,"forks":588,"topics":["ai","ai-ocr","attention-mechanism","gnn","gnn-model","gnns","graph","graph-neural-networks","llm-inference","low-latency","mincut","neo4j","ocr","onnx","rust","vector","wasm"],"archived":false,"github_pushed_at":"2026-08-24T07:36:49+00:00","maintenance_label":"Very active","stars_delta_30d":60,"url":"https://www.graphcanon.com/tools/ruvnet-ruvector","markdown_url":"https://www.graphcanon.com/tools/ruvnet-ruvector.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ruvnet-ruvector","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ruvnet-ruvector","description":"RuVector is a High Performance, Real-Time, Self-Learning Ai, Vector GNN, Memory DB built in Rust.","homepage_url":"https://Cognitum.One/RuVector","license":"MIT","open_issues":296,"watchers":37,"ai_summary":"RuVector is built in Rust to deliver high performance, real-time capabilities, self-learning AI, vector operations, and graph neural networks with memory database functionalities.","readme_excerpt":"## Deployment surfaces\n\n| Surface | Package or crate | Data boundary |\n| --- | --- | --- |\n| Node.js and TypeScript | [`ruvector`](https://www.npmjs.com/package/ruvector) | Local process and local files |\n| Rust | [`ruvector-core`](https://crates.io/crates/ruvector-core) | Local process and local files |\n| Browser | [`@ruvector/wasm`](https://www.npmjs.com/package/@ruvector/wasm) | Browser memory and browser storage |\n| HTTP service | [`ruvector-server`](./crates/ruvector-server) | Your service boundary |\n| PostgreSQL | [`ruvector-postgres`](./crates/ruvector-postgres) | Your database boundary |\n| RVF cognitive container | [`crates/rvf`](./crates/rvf) | Portable signed artifact |\n| Shared Brain | [`mcp-brain`](./crates/mcp-brain) | Optional hosted service |\n\nNative npm binaries cover glibc Linux on x64 and arm64, macOS on x64 and arm64, and Windows on x64. Browser and other environments use separate packages. The root package's fallback mode is limited when neither the native core nor RVF can load; use `@ruvector/wasm` explicitly for browser vector operations. Validate the selected backend with:\n\n```bash\nnpx ruvector info\n```\n\n---\n\n## License\n\nRuVector is available under the [MIT License](./LICENSE).\n\nBuilt by [rUv](https://ruv.io) and powering [Cognitum](https://cognitum.one).","github_created_at":"2025-11-19T06:10:23+00:00","created_at":"2026-07-11T11:42:57.422437+00:00","updated_at":"2026-08-24T18:01:25.625018+00:00","categories":[{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"},{"slug":"vector-databases","name":"Vector Databases","url":"https://www.graphcanon.com/categories/vector-databases","markdown_url":"https://www.graphcanon.com/categories/vector-databases.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/vector-databases"}],"tags":[{"slug":"ai-ocr","name":"ai-ocr"},{"slug":"attention-mechanism","name":"attention-mechanism"},{"slug":"gnn","name":"gnn"},{"slug":"graph-neural-networks","name":"graph-neural-networks"},{"slug":"llm-inference","name":"llm-inference"},{"slug":"mincut","name":"mincut"},{"slug":"onnx","name":"onnx"},{"slug":"rust","name":"rust"}],"trust":{"provenance":{"is_fork":false,"github_id":1099547803,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-24T18:01:24.838Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":10,"days_since_push":0,"last_release_at":"2026-07-29T22:13:18Z","stars_delta_30d":60,"open_issues_delta_30d":80},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:42:58.575Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"mcp":{"source":"repo_scan","observed_at":"2026-08-24T18:01:25.295Z","server_manifest":false},"scan":{"source":"repo_scan","observed_at":"2026-08-24T18:01:25.295Z"},"has_cli":{"value":true,"source":"package.json:bin|scripts","observed_at":"2026-08-24T18:01:25.295Z"},"languages":{"value":["rust","javascript"],"source":"github.language+package.json","observed_at":"2026-08-24T18:01:25.295Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-08-24T18:01:25.295Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium","summary":"The MIT license is free to use for both personal and commercial purposes but requires redistribution of source code under the MIT License if modifications are made."},"requirements":{"notes":["Must have a Rust-supported environment.","Systems using RuVector must be designed to handle real-time data processing efficiently."]},"constraints":{"pricing_model":"freemium"},"when_to_use":["When you require fast, real-time vector processing alongside graph neural network operations for quick inference.","For use cases needing a memory database capability within the system that can handle AI-driven decision making.","If your application demands Rust for development and benefits from low-latency self-learning mechanisms."],"when_not_to_use":["Avoid if your project or environment cannot support Rust-based dependencies crucial for RuVector's performance.","Not advisable if comprehensive pre-trained model libraries like those provided by ONNX are a requirement, as RuVector focuses more on its unique real-time and self-learning aspects."],"source":"enrich:decision_facts","observed_at":"2026-07-17T00:19:06.796Z"},"constraint_facets":{"pricing_model":"freemium"},"decision_summary":[{"label":"Pricing","value":"freemium - The MIT license is free to use for both personal and commercial purposes but requires redistribution of source code under the MIT License if modifications are made."},{"label":"Requirements","value":"Must have a Rust-supported environment.; Systems using RuVector must be designed to handle real-time data processing efficiently."},{"label":"Adopt for","value":"RuVector integrates high-performance vector operations and graph neural networks in real-time applications with an emphasis on low-latency self-learning capabilities."},{"label":"License detail","value":"MIT"}]}}