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使用 Homebrew, Nix, pacman, scoop 安装 meilisearch

查看 meilisearch 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install meilisearch

local Homebrew formula metadata

Linux

Nix已验证 · 92%
nix profile install nixpkgs#meilisearch

nixpkgs package indexes · pkgs/by-name/me/meilisearch/package.nix · 来源: api.github.com

Arch Linux pacman已验证 · 92%
sudo pacman -S meilisearch

Arch Linux sync databases · meilisearch · 来源: geo.mirror.pkgbuild.com

Windows

Scoop已验证 · 92%
scoop install main/meilisearch

Scoop official bucket manifest trees · bucket/meilisearch.json · 来源: api.github.com

概览

软件包摘要

Ultra relevant, instant and typo-tolerant full-text search API

命令和别名

  • meilisearch

历史

项目历史与用法

Meilisearch is an open-source search engine distributed as a single binary with a REST API. The official documentation presents it as a fast, typo-tolerant, full-text, semantic, and hybrid search engine for websites, apps, documentation, internal tools, and AI retrieval workflows.

项目历史

Meilisearch grew around a developer-experience pitch: install one binary, send documents, and get fast search-as-you-type with sensible defaults instead of operating a heavier search cluster. The current README and docs still foreground that single-binary REST model, SDKs, typo tolerance, filtering, faceting, sorting, synonyms, geosearch, API keys, and multi-tenancy.

Version 1.0.0 marked a stabilization milestone. The v1.0.0 release notes describe it as the first major release, with emphasis on CLI stability, final breaking CLI changes before v2.0.0, language-support improvements, indexing and search-speed work, and migration support from older versions via dumps.

The project later expanded beyond classic keyword search. Current official docs describe fast full-text search, semantic search, hybrid search, conversational interfaces, RAG-oriented retrieval, vector embeddings, sharding, replication, Meilisearch Cloud, and SDKs for more than ten languages.

采用历史

Meilisearch became one of the more visible packaged search servers in the developer-tools ecosystem. The GitHub repository shows tens of thousands of stars and thousands of forks, and the supplied package facts list Homebrew, Nix, pacman, and Scoop packages.

Its adoption is helped by the packaging shape: a Rust binary, Docker images, release binaries, and straightforward config via command-line flags, environment variables, or a TOML file. That makes it attractive for local development, small production services, SaaS search features, and demos where Elasticsearch-style operational weight is unwanted.

使用方式

A typical self-hosted Meilisearch setup starts the server, indexes JSON documents, and uses the HTTP API or SDKs for search. The docs state that command-line options have highest configuration precedence, then environment variables, then the TOML config file.

By default Meilisearch looks for config.toml in the working directory. The docs also document MEILI_CONFIG_FILE_PATH and --config-file-path for overriding that location.

为什么软件包爱好者会关心

Meilisearch matters to package maintainers because it is a modern search daemon whose appeal depends on low-friction installation. It sits at the intersection of Rust services, developer-local databases, REST APIs, and search infrastructure, so package updates carry both binary compatibility and index-format migration concerns.

时间线

  • 2023-02-06: Meilisearch v1.0.0 released as the first major release.
  • 2023: v1.0 release notes stabilized CLI behavior and committed to no breaking changes before v2.0.0.
  • 2026: Current docs describe full-text, semantic, hybrid, and conversational search in one API.

Related projects

  • milli: Meilisearch's search/indexing engine referenced in release notes.
  • Meilisearch Cloud: the hosted service for Meilisearch.
  • Official SDKs: JavaScript, Python, PHP, Ruby, Go, Rust, Java, .NET, Swift, and Dart clients documented by the project.

安全态势

风险级别:orange

formula declares a Homebrew service.

风险分类器

orange 风险 · 中 置信度 · infrastructure

原因

  • formula declares a Homebrew service

信号

  • metadata:service

安装行为

  • 未记录 Homebrew bottle 元数据。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

local files

Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.

Configuration files

Config paths the tool may read or write during local use.

Unix
./config.toml
Windows
.\config.toml

可执行文件

已安装的可执行文件

命令类型暴露范围备注
meilisearch可执行文件已索引可执行文件从本地可执行文件索引发现。

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-08-03
管理器版本1.52.0
管理器更新时间2026-08-03
本地数据未知
上游不可用
检测到的最新版本未检测到
  • OK没有生成新鲜度警告。

安装元数据

软件包元数据

软件包键brew:meilisearch
版本1.52.0
软件包管理器Homebrew
主页https://docs.meilisearch.com/
仓库https://github.com/meilisearch/meilisearch
最后更新2026-08-03T15:22:08Z
Pulseupdated
Bottle未记录
服务未声明

源数据库匹配

其他软件包管理器记录

匹配项来自外部软件包管理器索引,并与本地 Automic Vault 软件包链接分开显示。

Nix95%

meilisearch

nix profile install nixpkgs#meilisearch
  • normalized package name match
  • 匹配方式:Meilisearch
nixpkgs package indexes · api.github.com · nixpkgs package indexes: pkgs/by-name/me/meilisearch/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1
pacman95%

meilisearch 1:1.51.0-1

Lightning Fast, Ultra Relevant, and Typo-Tolerant Search Engine

https://docs.meilisearch.com/

sudo pacman -S meilisearch
  • License: MIT
  • Architecture: x86_64
  • 3 依赖
  • normalized package name match
  • 匹配方式:Meilisearch
Arch Linux sync databases · geo.mirror.pkgbuild.com · Arch Linux sync databases: meilisearch from https://geo.mirror.pkgbuild.com/extra/os/x86_64/extra.db.tar.gz
Scoop95%

main/meilisearch

scoop install main/meilisearch
  • normalized package name match
  • 匹配方式:Meilisearch
Scoop official bucket manifest trees · api.github.com · Scoop official bucket manifest trees: bucket/meilisearch.json from https://api.github.com/repos/ScoopInstaller/Main/git/trees/master?recursive=1

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • Geiger risk classifier
  • cross-ecosystem install command graph
  • curated configuration and credential file locations
  • curated package history
  • external package-manager database matches
  • pkg.so package database
  • pkgdb category and tag curation