[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-96076":3},{"id":4,"name":5,"fullName":6,"owner":5,"repo":5,"description":7,"homepage":8,"htmlUrl":9,"language":10,"languages":8,"totalLinesOfCode":8,"stars":11,"forks":12,"watchers":13,"openIssues":13,"contributorsCount":8,"subscribersCount":13,"size":13,"stars1d":13,"stars7d":13,"stars30d":13,"stars90d":13,"forks30d":13,"starsTrendScore":13,"compositeScore":14,"rankGlobal":8,"rankLanguage":8,"license":8,"archived":15,"fork":15,"defaultBranch":16,"hasWiki":15,"hasPages":15,"topics":8,"createdAt":8,"pushedAt":8,"updatedAt":17,"readmeContent":18,"aiSummary":19,"trendingCount":13,"starSnapshotCount":13,"syncStatus":20,"lastSyncTime":8,"discoverSource":21},96076,"memgraph","memgraph\u002Fmemgraph","High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.",null,"https:\u002F\u002Fgithub.com\u002Fmemgraph\u002Fmemgraph","C++",4411,269,0,56.29,false,"main","2026-09-20 04:01:32","\u003Cp align=\"center\">\n\u003Cimg alt=\"memgraph-repo-banner\" src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F9ab82a42-5b66-4091-bb7f-23f97d56bac4\" \u002F>\n\u003C\u002Fp>\n\n---\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmemgraph\u002Fmemgraph\u002Fblob\u002Fmaster\u002Flicenses\u002FAPL.txt\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flicense-APL-green\" alt=\"license\" title=\"license\"\u002F>\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmemgraph\u002Fmemgraph\u002Fblob\u002Fmaster\u002Flicenses\u002FBSL.txt\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flicense-BSL-yellowgreen\" alt=\"license\" title=\"license\"\u002F>\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmemgraph\u002Fmemgraph\u002Fblob\u002Fmaster\u002Flicenses\u002FMEL.pdf\" alt=\"Documentation\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flicense-MEL-yellow\" alt=\"license\" title=\"license\"\u002F>\n  \u003C\u002Fa>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fmemgraph.github.io\u002Fdaily-builds\u002F\">\n     \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Factions\u002Fworkflow\u002Fstatus\u002Fmemgraph\u002Fmemgraph\u002Fdaily_build.yml?branch=master&label=build%20and%20test&logo=github\"\u002F>\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fmemgraph.com\u002Fdocs\u002F\" alt=\"Documentation\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fdocumentation-Memgraph-orange\" \u002F>\n  \u003C\u002Fa>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fmemgr.ph\u002Fjoin-discord\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FDiscord-7289DA?style=for-the-badge&logo=discord&logoColor=white\" alt=\"Discord\"\u002F>\n  \u003C\u002Fa>\n\u003C\u002Fp>\n\n## :clipboard: Description\n\nMemgraph is a high-performance, in-memory graph database that powers real-time\nAI context and graph analytics. Built in C\u002FC++, it serves as the graph engine\nfor GraphRAG pipelines, AI memory systems, and agentic workflows — delivering\nsub-millisecond multi-hop traversals for any system that needs structured,\nconnected context alongside semantic vector or text search.\n\nMemgraph provides both in a single query layer: built-in text and vector\nindexes for similarity search combined with full graph traversal, so retrieval\npipelines can run as a single atomic database operation instead of being\nscattered across multiple systems.\n\nThe same architecture drives real-time graph analytics for fraud detection,\nnetwork analysis, infrastructure monitoring, and other operational workloads\nwhere performance matters. Memgraph is fully compatible with Neo4j’s Cypher\nquery language, ACID-compliant, and highly available.\n\n## :zap: Features\n\n#### AI & Graph Intelligence\n- **Indexes** - Built-in vector indexes power hybrid graph retrieval with\nsimilarity search in a single query, alongside text and geospatial indexes for\nkeyword and location-aware queries.\n- **[MAGE](src\u002Fmage\u002FREADME.md) algorithm library** - 40+ graph algorithms in C++,\nPython, and CUDA including PageRank, community detection, GNN-based link\nprediction, temporal graph networks, embeddings, and native ML.\n- **Atomic GraphRAG** - Pivot search, graph expansion, ranking, and prompt\nassembly expressed as a single Cypher query.\n- **LLM utility module** - Graph-aware context formatting for large language\nmodels.\n- **[AI Toolkit](https:\u002F\u002Fgithub.com\u002Fmemgraph\u002Fai-toolkit)** - Integrations with\npopular agentic frameworks, MCP server, and ready-made components for building\nGraphRAG, AI memory, and agent workflows on top of Memgraph.\n- **Real-time schema introspection** - `SHOW SCHEMA INFO` returns the full\ngraph ontology for Text2Cypher and AI agent integration.\n\n#### Performance & Query Power\n- **In-memory C\u002FC++ engine** - Sub-millisecond traversals with [benchmarked\nperformance](https:\u002F\u002Fmemgraph.com\u002Fbenchgraph).\n- **Deep-path traversals** - Accumulators and path filtering without additional\napplication logic.\n- **Custom query modules** - Extend with Python, Rust, and C\u002FC++ code natively.\n- **Parallel query execution** - Concurrent query processing for\nhigh-throughput workloads.\n- **Native Parquet & JSONL loading** - Load data directly from Parquet and\nJSONL files on local disk, S3, or HTTP endpoints.\n- **Streaming support** - Ingest from Kafka, Pulsar, and RedPanda with dynamic\ngraph algorithms that react to changes in real time.\n\n#### Enterprise\n- **High availability** - Raft-based coordination with automatic failover.\n- **Multi-tenancy** - Isolated databases with per-tenant role assignments.\n- **Fine-grained access control** - Role-based and label-based permissions at\nthe node and edge level.\n- **Authentication & authorization** - SSO integration, user impersonation, and\n30+ granular permissions.\n- **Encryption in transit, monitoring, backup & restore.**\n\n## :video_game: Memgraph Playground\n\nYou don't need to install anything to try out Memgraph. Check out our\n**[Memgraph Playground](https:\u002F\u002Fplayground.memgraph.com\u002F)** sandboxes in your\nbrowser.\n\n\u003Cp align=\"left\">\n  \u003Ca href=\"https:\u002F\u002Fplayground.memgraph.com\u002F\">\n    \u003Cimg width=\"450px\" alt=\"Memgraph Playground\" src=\"https:\u002F\u002Fdownload.memgraph.com\u002Fasset\u002Fgithub\u002Fmemgraph\u002Fmemgraph-playground.png\">\n  \u003C\u002Fa>\n\u003C\u002Fp>\n\n## :floppy_disk: Download & Install\n\n### Windows\n\n[![Windows](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FWindows-Docker-0078D6?style=for-the-badge&logo=windows&logoColor=white)](https:\u002F\u002Fmemgraph.com\u002Fdocs\u002Fmemgraph\u002Finstall-memgraph-on-windows-docker)\n[![Windows](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FWindows-WSL-0078D6?style=for-the-badge&logo=windows&logoColor=white)](https:\u002F\u002Fmemgraph.com\u002Fdocs\u002Fmemgraph\u002Finstall-memgraph-on-windows-wsl)\n\n### macOS\n\n[![macOS](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FmacOS-Docker-000000?style=for-the-badge&logo=macos&logoColor=F0F0F0)](https:\u002F\u002Fmemgraph.com\u002Fdocs\u002Fmemgraph\u002Finstall-memgraph-on-macos-docker)\n[![macOS](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flima-AACF41?style=for-the-badge&logo=macos&logoColor=F0F0F0)](https:\u002F\u002Fmemgraph.com\u002Fdocs\u002Fmemgraph\u002Finstall-memgraph-on-ubuntu)\n\n### Linux\n\n[![Linux](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLinux-Docker-FCC624?style=for-the-badge&logo=linux&logoColor=black)](https:\u002F\u002Fmemgraph.com\u002Fdocs\u002Fmemgraph\u002Finstall-memgraph-on-linux-docker)\n[![Debian](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FDebian-D70A53?style=for-the-badge&logo=debian&logoColor=white)](https:\u002F\u002Fmemgraph.com\u002Fdocs\u002Fmemgraph\u002Finstall-memgraph-on-debian)\n[![Ubuntu](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FUbuntu-E95420?style=for-the-badge&logo=ubuntu&logoColor=white)](https:\u002F\u002Fmemgraph.com\u002Fdocs\u002Fmemgraph\u002Finstall-memgraph-on-ubuntu)\n[![Cent OS](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fcent%20os-002260?style=for-the-badge&logo=centos&logoColor=F0F0F0)](https:\u002F\u002Fmemgraph.com\u002Fdocs\u002Fmemgraph\u002Finstall-memgraph-from-rpm)\n[![Fedora](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Ffedora-0B57A4?style=for-the-badge&logo=fedora&logoColor=F0F0F0)](https:\u002F\u002Fmemgraph.com\u002Fdocs\u002Fmemgraph\u002Finstall-memgraph-from-rpm)\n[![RedHat](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fredhat-EE0000?style=for-the-badge&logo=redhat&logoColor=F0F0F0)](https:\u002F\u002Fmemgraph.com\u002Fdocs\u002Fmemgraph\u002Finstall-memgraph-from-rpm)\n\n### Kubernetes\n\n[![Helm](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FHelm_Charts-0F1689?style=for-the-badge&logo=helm&logoColor=white)](https:\u002F\u002Fgithub.com\u002Fmemgraph\u002Fhelm-charts)\n\nDeploy Memgraph on Kubernetes using the official [Helm charts](https:\u002F\u002Fgithub.com\u002Fmemgraph\u002Fhelm-charts),\nincluding charts for standalone and high-availability deployments:\n\n```bash\nhelm repo add memgraph https:\u002F\u002Fmemgraph.github.io\u002Fhelm-charts\nhelm install my-memgraph memgraph\u002Fmemgraph\n```\n\nYou can find the binaries and Docker images on the [Download\nHub](https:\u002F\u002Fmemgraph.com\u002Fdownload) and the installation instructions in the\n[official documentation](https:\u002F\u002Fmemgraph.com\u002Fdocs\u002Fmemgraph\u002Finstallation).\n\n\n## :rocket: Daily Builds\nStay on the cutting edge with the latest features and improvements by using\n[Memgraph Daily Builds](https:\u002F\u002Fmemgraph.github.io\u002Fdaily-builds\u002F). Daily builds\nare updated frequently and allow you to test new capabilities before they reach\nstable releases.\n\n\u003Cp align=\"left\"> \u003Ca href=\"https:\u002F\u002Fmemgraph.github.io\u002Fdaily-builds\u002F\"> \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FDaily%20Builds-latest-blue?style=for-the-badge\" alt=\"Daily Builds\" \u002F> \u003C\u002Fa> \u003C\u002Fp>\n\n\n## :cloud: Memgraph Cloud\nCheck out [Memgraph Cloud](https:\u002F\u002Fmemgraph.com\u002Fdocs\u002Fmemgraph-cloud) - a cloud\nservice fully managed on AWS and available in 6 geographic regions around the\nworld. Memgraph Cloud allows you to create projects with Enterprise instances\nof MemgraphDB from your browser.\n\n\u003Cp align=\"left\">\n  \u003Ca href=\"https:\u002F\u002Fmemgraph.com\u002Fdocs\u002Fmemgraph-cloud\">\n    \u003Cimg width=\"450px\" alt=\"Memgraph Cloud\" src=\"https:\u002F\u002Fpublic-assets.memgraph.com\u002Fmemgraph-gifs%2Fcloud.gif\">\n  \u003C\u002Fa>\n\u003C\u002Fp>\n\n## :link: Connect to Memgraph\n[Connect to the\ndatabase](https:\u002F\u002Fmemgraph.com\u002Fdocs\u002Fmemgraph\u002Fconnect-to-memgraph) using\nMemgraph Lab, mgconsole, various drivers (Python, C\u002FC++ and others) and\nWebSocket.\n\n### :microscope: Memgraph Lab\nVisualize graphs and play with queries to understand your data. [Memgraph\nLab](https:\u002F\u002Fmemgraph.com\u002Fdocs\u002Fmemgraph-lab) is a user interface that helps you\nexplore and manipulate the data stored in Memgraph. Visualize graphs, execute\nad hoc queries, and optimize their performance.\n\n\u003Cp align=\"left\">\n  \u003Ca href=\"https:\u002F\u002Fmemgraph.com\u002Fdocs\u002Fmemgraph-lab\">\n    \u003Cimg width=\"450px\" alt=\"Memgraph Cloud\" src=\"https:\u002F\u002Fpublic-assets.memgraph.com\u002Fmemgraph-gifs%2Flab.gif\">\n  \u003C\u002Fa>\n\u003C\u002Fp>\n\n## :file_folder: Import data\n[Import data](https:\u002F\u002Fmemgraph.com\u002Fdocs\u002Fmemgraph\u002Fimport-data) into Memgraph\nusing Kafka, RedPanda or Pulsar streams, CSV, JSON, Parquet, and JSONL files\n(from local disk, S3, or HTTP), or Cypher commands.\n\n## :bulb: Best Practices\nThe [memgraph\u002Fbest-practices](https:\u002F\u002Fgithub.com\u002Fmemgraph\u002Fbest-practices)\nrepository contains ready-to-use examples covering graph modeling, data import,\nquery optimization, GraphRAG, high-availability deployment, and more.\n\n## :world_map: Roadmap\nSee what's coming next on the\n[memgraph\u002Froadmap](https:\u002F\u002Fgithub.com\u002Fmemgraph\u002Froadmap).\n\n## :bookmark_tabs: Documentation\nThe Memgraph documentation is available at\n[memgraph.com\u002Fdocs](https:\u002F\u002Fmemgraph.com\u002Fdocs).\n\n## :question: Configuration\nCommand line options that Memgraph accepts are available in the [reference\nguide](https:\u002F\u002Fmemgraph.com\u002Fdocs\u002Fmemgraph\u002Freference-guide\u002Fconfiguration).\n\n## :trophy: Contributing\nWelcome to the heart of Memgraph development! We're on a mission to supercharge\nMemgraph, making it faster, more user-friendly, and even more powerful. We owe\na big thanks to our fantastic community of contributors who help us fix bugs\nand bring incredible improvements to life. If you're passionate about databases\nand open source, here's your chance to make a difference!\n\n### Compile from Source\nLearn how to download, compile and run Memgraph from source with the [Quick\nStart](https:\u002F\u002Fmemgraph.notion.site\u002FQuick-Start-82a99a85e62a4e3d89f6a9fb6d35626d)\nguide.\n\n### Explore Memgraph Internals\nInterested in the nuts and bolts of Memgraph? Our [internals\ndocumentation](https:\u002F\u002Fmemgraph.notion.site\u002FMemgraph-Internals-12b69132d67a417898972927d6870bd2)\nis where you can uncover the inner workings of Memgraph's architecture, learn\nhow to build the project from scratch, and discover the secrets of effective\ncontributions. Dive deep into the database!\n\n### Dive into the Contributing Guide\nReady to jump into the action? Explore our [contributing\nguide](CONTRIBUTING.md) to get the inside scoop on how we develop Memgraph.\nIt's your roadmap for suggesting bug fixes and enhancements. Contribute your\nskills and ideas!\n\n### Code of Conduct\nOur commitment to a respectful and professional community is unwavering. Every\nparticipant in Memgraph is expected to adhere to a stringent Code of Conduct.\nPlease carefully review [the complete text](CODE_OF_CONDUCT.md) to gain a\ncomprehensive understanding of the behaviors that are both expected and\nexplicitly prohibited.\n\nWe maintain a zero-tolerance policy towards any violations. Our shared\ncommitment to this Code of Conduct ensures that Memgraph remains a place where\nintegrity and excellence are paramount.\n\n### :scroll: License\nMemgraph Community is available under the [BSL\nlicense](.\u002Flicenses\u002FBSL.txt).\u003C\u002Fbr> Memgraph Enterprise is available under the\n[MEL license](.\u002Flicenses\u002FMEL.pdf).\n\n## :star: Special Thanks\nWe're grateful to all contributors, especially external ones, who have helped\nimprove Memgraph through bug fixes, features, and documentation. Thank you for\nmaking Memgraph better!\n\n\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmemgraph\u002Fmemgraph\u002Fgraphs\u002Fcontributors\">\n  \u003Cimg src=\"https:\u002F\u002Fcontrib.rocks\u002Fimage?repo=memgraph\u002Fmemgraph\" alt=\"Memgraph contributors\" \u002F>\n\u003C\u002Fa>\n\n## :busts_in_silhouette: Community\n- :purple_heart: [**Discord**](https:\u002F\u002Fdiscord.gg\u002Fmemgraph)\n- :ocean: [**Stack Overflow**](https:\u002F\u002Fstackoverflow.com\u002Fquestions\u002Ftagged\u002Fmemgraphdb)\n- :bird: [**Twitter**](https:\u002F\u002Ftwitter.com\u002Fmemgraphdb)\n- :movie_camera:\n  [**YouTube**](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUCZ3HOJvHGxtQ_JHxOselBYg)\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"#\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F⬆️ back_to_top_⬆️-white\" alt=\"Back to top\" title=\"Back to top\"\u002F>\n  \u003C\u002Fa>\n\u003C\u002Fp>\n","Memgraph 是一款高性能开源内存图数据库，专为 GraphRAG、AI 记忆系统、智能体（Agentic AI）及实时图分析场景设计。核心特性包括：完全兼容 Neo4j Cypher 查询语言；内置向量、文本与地理空间索引，支持图遍历与相似性搜索融合的单次原子查询；提供 40+ 图算法（含 PageRank、社区发现、GNN 链接预测等）的 MAGE 算法库；具备 ACID 事务保障与高可用架构。适用于需低延迟多跳关系检索的 AI 上下文增强、实时风控、网络拓扑分析与基础设施监控等场景。",2,"trending"]