{"data":{"slug":"matrixorigin-matrixone","name":"matrixone","tagline":"AI-native HTAP database with Git-for-Data and built-in vector search","github_url":"https://github.com/matrixorigin/matrixone","owner":"matrixorigin","repo":"matrixone","owner_avatar_url":"https://avatars.githubusercontent.com/u/76932962?v=4","primary_language":"Go","stars":1879,"forks":308,"topics":["agents","ai-native","cloud-native","database","distributed-database","distributed-systems","fulltext-support","git-for-data","go","htap","hyperconverged","memory","mysql-compatible","olap","one-size-fits-all","sql","vector-database"],"archived":false,"github_pushed_at":"2026-08-21T11:31:20+00:00","maintenance_label":"Very active","stars_delta_30d":18,"url":"https://www.graphcanon.com/tools/matrixorigin-matrixone","markdown_url":"https://www.graphcanon.com/tools/matrixorigin-matrixone.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/matrixorigin-matrixone","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=matrixorigin-matrixone","description":"AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.","homepage_url":"https://docs.matrixorigin.cn/mo/en/","license":"Apache-2.0","open_issues":654,"watchers":35,"ai_summary":"MatrixOne is an AI-native HTAP (Hybrid Transactional/Analytical Processing) database that supports Git-for-Data, full-text support, OLAP operations, and is MySQL-compliant. It acts as a data and memory backbone for intelligent agents and applications.","readme_excerpt":"### 🎯 Getting Started Tutorials\n\n| Tutorial | Language/Framework | Description |\n|----------|-------------------|-------------|\n| [Java CRUD Demo](https://docs.matrixorigin.cn/mo/en/latest/MatrixOne/Tutorial/develop-java-crud-demo.html) | Java | Java application development |\n| [SpringBoot and JPA CRUD Demo](https://docs.matrixorigin.cn/mo/en/latest/MatrixOne/Tutorial/springboot-hibernate-crud-demo.html) | Java | SpringBoot with Hibernate/JPA |\n| [PyMySQL CRUD Demo](https://docs.matrixorigin.cn/mo/en/latest/MatrixOne/Tutorial/develop-python-crud-demo.html) | Python | Basic database operations with Python |\n| [SQLAlchemy CRUD Demo](https://docs.matrixorigin.cn/mo/en/latest/MatrixOne/Tutorial/sqlalchemy-python-crud-demo.html) | Python | Python with SQLAlchemy ORM |\n| [Django CRUD Demo](https://docs.matrixorigin.cn/mo/en/latest/MatrixOne/Tutorial/django-python-crud-demo.html) | Python | Django web framework |\n| [Golang CRUD Demo](https://docs.matrixorigin.cn/mo/en/latest/MatrixOne/Tutorial/develop-golang-crud-demo.html) | Go | Go application development |\n| [Gorm CRUD Demo](https://docs.matrixorigin.cn/mo/en/latest/MatrixOne/Tutorial/gorm-golang-crud-demo.html) | Go | Go with Gorm ORM |\n| [C# CRUD Demo](https://docs.matrixorigin.cn/mo/en/latest/MatrixOne/Tutorial/c-net-crud-demo.html) | C# | .NET application development |\n| [TypeScript CRUD Demo](https://docs.matrixorigin.cn/mo/en/latest/MatrixOne/Tutorial/typescript-crud-demo.html) | TypeScript | TypeScript application development |\n\n---\n\n## 🛠️ <a id=\"installation--deployment\">Installation & Deployment</a>\n\nMatrixOne supports multiple installation methods. Choose the one that best fits your needs:\n\n---\n\n# Quick start\nmake dev-build && make dev-up\n\n---\n\n## <a id=\"license\">License</a>\n\nMatrixOne is licensed under the [Apache License, Version 2.0](LICENSE).","github_created_at":"2021-02-18T09:07:17+00:00","created_at":"2026-07-07T17:44:18.004279+00:00","updated_at":"2026-08-21T12:01:11.585072+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"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":"agents","name":"agents"},{"slug":"ai-native","name":"ai-native"},{"slug":"cloud-native","name":"cloud-native"},{"slug":"distributed-database","name":"distributed-database"},{"slug":"distributed-systems","name":"distributed-systems"},{"slug":"fulltext-support","name":"fulltext-support"},{"slug":"git-for-data","name":"git-for-data"},{"slug":"go","name":"go"}],"trust":{"provenance":{"is_fork":false,"github_id":339993112,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-21T12:01:10.731Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":18,"days_since_push":0,"last_release_at":"2026-07-22T06:51:20Z","stars_delta_30d":18,"open_issues_delta_30d":-97},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:25:32.559Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-21T12:01:11.287Z"},"languages":{"value":["go"],"source":"github.language","observed_at":"2026-08-21T12:01:11.287Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-08-21T12:01:11.287Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you require an HTAP solution that also supports efficient integration of AI components like vector searches within a database environment","For projects aiming to integrate version control practices similar to Git directly into the data management process through 'Git-for-Data'","If your application demands full-text support and MySQL compliance in a distributed database setting"],"when_not_to_use":["When the primary focus is on operations that do not benefit from vector search capabilities, as this might add unnecessary overhead","In scenarios where maintaining multiple data versions using Git-like features for each transaction or query significantly impacts performance"],"source":"enrich:decision_facts","observed_at":"2026-07-14T20:14:32.743Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"MatrixOne is designed for AI-native projects needing hybrid transactional and analytical processing capabilities with integrated vector search and Git-for-Data options."}]}}