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brew

Install meilisearch with Homebrew, Nix, pacman, scoop

Ultra relevant, instant and typo-tolerant full-text search API. Version 1.49.0 via Homebrew; verified 2026-07-06.

install

Additional install commands

macOS

Homebrewverified · 100%
brew install meilisearch

local Homebrew formula metadata

Linux

Nixverified · 92%
nix profile install nixpkgs#meilisearch

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

Arch Linux pacmanverified · 92%
sudo pacman -S meilisearch

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

Windows

Scoopverified · 92%
scoop install main/meilisearch

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

overview

Package summary

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

Commands and aliases

  • meilisearch

history

Project history and usage

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.

Project history

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.

Adoption history

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.

How it is used

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.

Why package nerds care

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.

Timeline

  • 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.

security posture

Risk level: orange

formula declares a Homebrew service.

Risk classifier

orange risk · medium confidence · infrastructure

Why

  • formula declares a Homebrew service

Signals

  • metadata:service

Install behavior

  • No Homebrew post-install hook is recorded in formula metadata.
  • Formula metadata declares a service or daemon block.
  • Homebrew bottle metadata is available for 6 platform targets.
  • Build metadata lists 1 build dependencies.

Recommended review

Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.

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

executables

Installed executables

CommandKindExposureNote
meilisearchcliglobal executable

freshness

Version and freshness

These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.

page generated2026-07-08
manager version1.49.0
manager updated2026-07-06
local dataok
upstreamcurrent
latest detectedv1.49.0

https://github.com/meilisearch/meilisearch

  • okNo freshness warnings were generated.

install metadata

Package metadata

Package keybrew:meilisearch
Version1.49.0
Package managerHomebrew
Package manager pagehttps://formulae.brew.sh/formula/meilisearch
Homepagehttps://docs.meilisearch.com/
Repositoryhttps://github.com/meilisearch/meilisearch
Upstream docshttps://www.meilisearch.com/docs/getting_started/overview
LicenseMIT
Source archivehttps://github.com/meilisearch/meilisearch/archive/refs/tags/v1.49.0.tar.gz
Last updated2026-07-06T10:07:09Z
Pulseupdated
Build dependenciesrust
Bottleavailable (on arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-installnot defined
Servicedeclared

registry facts

Source database details

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namemeilisearch
Version Scheme0
Revision0
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • stable

source database matches

Other package-manager records

Matches are pulled from external package-manager indexes and kept separate from local Automic Vault package links.

Nix95%

meilisearch

nix profile install nixpkgs#meilisearch
  • normalized package name match
  • Matched by: 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 1:1.45.2-1

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

https://docs.meilisearch.com/

sudo pacman -S meilisearch
  • License: MIT
  • Architecture: x86_64
  • 2 dependencies
  • normalized package name match
  • Matched by: 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
  • Matched by: 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

source trail

Generated from repository data

This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.

Used sources

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated configuration and credential file locations
  • curated package history
  • external package-manager database matches
  • package relationship graph
  • package version freshness
  • package-page enrichment