--- title: "attu" type: "tool" slug: "zilliztech-attu" canonical_url: "https://www.graphcanon.com/tools/zilliztech-attu" github_url: "https://github.com/zilliztech/attu" homepage_url: "https://github.com/zilliztech/attu" stars: 3025 forks: 218 primary_language: "Shell" license: "Other" categories: ["vector-databases", "developer-tools"] tags: ["vector-database", "milvus", "attu"] updated_at: "2026-07-07T18:43:47.49598+00:00" --- # attu > The Best GUI for Milvus Attu is a comprehensive GUI management tool for Milvus vector databases, offering features like AI agents, backups and restores, tasks tracking, embedding configuration, REST API playgrounds, cluster administration, and more. ## Facts - Repository: https://github.com/zilliztech/attu - Homepage: https://github.com/zilliztech/attu - Stars: 3,025 · Forks: 218 · Open issues: 90 · Watchers: 20 - Primary language: Shell - License: Other - Last pushed: 2026-06-11T06:23:28+00:00 ## Categories - [Vector Databases](/categories/vector-databases.md) - [Developer Tools](/categories/developer-tools.md) ## Tags vector-database, milvus, attu ## Related tools - [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system (★ 226,962) - [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT: Build, Deploy, and Run AI Agents (★ 185,417) - [prompts.chat](/tools/f-prompts-chat.md) - The world's largest open-source prompt library for AI (★ 165,019) - [JavaGuide](/tools/snailclimb-javaguide.md) - Snailclimb/JavaGuide: 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发 (★ 156,863) - [browser-use](/tools/browser-use-browser-use.md) - 🌐 Make websites accessible for AI agents. 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Available as a **web app** (Docker / Kubernetes) or **desktop app** (macOS, Linux, Windows). --- ## What's New in v3 Attu v3 is a ground-up rewrite with a modern stack (TanStack Start, React 19, Tailwind CSS v4, shadcn/ui) and major new capabilities: - **AI Agent** - Chat with an LLM-powered assistant that can query collections, manage schemas, and execute Milvus operations through natural language. Supports custom skills and tool-call approval workflows. - **Backup & Restore** - Create full or incremental backups, download as ZIP, upload to restore. Supports S3, MinIO, GCS, and Azure Blob Storage. - **Tasks & Data Movement** - Track long-running import, export, backup, restore, and copy tasks with retry/cancel controls. - **Embedding Configuration** - Configure embedding providers directly in Attu for vector search with text input. - **REST API Playground** - Interactive API testing with database/collection context pickers. - **Redesigned Explorer** - Hierarchical database/collection browser with schema builder, data import/export (CSV, JSON, Parquet), vector search, snapshots, external collections, partition management, and segment viewer. - **Cluster Administration** - Topology visualization, role-based access control with cross-cluster role copying, scoped collection access, user management, configuration viewer, metrics, slow request analysis, diagnostics, environments, and resource groups. - **Dark/Light Theme** - Geist font, Attu green primary palette, designed for long working sessions. --- ## Quick Start ### Docker (recommended) ```bash docker run -d --name attu \ -p 3000:3000 \ -e MILVUS_ADDRESS=host.docker.internal:19530 \ -v attu-data:/data \ zilliz/attu:v3.0.0-beta.6 ``` Open http://localhost:3000 and connect to Zilliz Cloud or your open-source Milvus 3.x instance. The Docker image stores its SQLite database at `/data/attu.db` by default. The `-v attu-data:/data` volume persists your saved connections, agent conversations, and preferences across container restarts. ### Docker Compose (Milvus + Attu) ```yaml services: milvus: # Attu v3.0 supports open-source Milvus 3.x. Do not use Milvus 2.6.x here. image: milvusdb/milvus: ports: - "19530:19530" - "9091:9091" command: milvus run standalone volumes: - milvus-data:/var/lib/milvus attu: image: zilliz/attu:v3.0.0-beta.6 ports: - "3000:3000" environment: - MILVUS_ADDRESS=milvus:19530 volumes: - attu-data:/data depends_on: - milvus volumes: milvus-data: attu-data: ``` ```bash docker compose up -d ``` The Docker Compose example is for open-source Milvus 3.x compatibility validation. Attu v3.0 also supports Zilliz Cloud, but it does not support open-source Milvus 2.6.x or earlier Milvus 2.x releases. ### Desktop App Download the latest release for your platform: | Platform | Download | |----------|----------| | macOS (Apple Silicon) | [.dmg](https://github.com/zilliztech/attu/releases/latest) | | Linux | [.AppImage](https://github.com/zilliztech/attu/releases/latest) / [.deb](https://github.com/zilliztech/attu/releases/latest) | | Windows | [.exe](https://github.com/zilliztech/attu/releases/latest) | > **macOS note:** If you see "attu.app is damaged and cannot be opened", run: > ```bash > sudo xattr -rd com.apple.quarantine /Applications/Attu.app > ``` --- ## Features ### Multi-Cluster Management Connect to multiple Milvus instances from a single Attu deployment. Add, edit, and switch between connections in the sidebar. Each cluster has its own dedicated workspace with independent monitoring, agent sessions, and preferen ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/zilliztech-attu`](/api/graphcanon/tools/zilliztech-attu) - 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/_