成長率はどのように比較されますか？

Msgmate.io の前月比成長率は 0%、Open WebUI は -2.8% です。

料金はどのように比較されますか？

Msgmate.io: 有料。Msgmate.io is a paid product in our records. The hosted Open-Chat service is free to try in the browser, while API access, heavier usage and self-hosted deployment of the full platform are oriented around paid plans. Exact tiers are not published publicly - sign up or contact the team for current pricing. Open WebUI: フリーミアム。The core platform is free and open source, installable via pip or Docker with no account required. An enterprise tier with support, compliance and deployment assistance is quoted on contact.

Msgmate.io と Open WebUI の代替ツールは何ですか？

関連カテゴリの他のツールには DeepSeek, Ollama, n8n, Hermes-Agent, Abacus.AI などがあります。

Msgmate.io vs Open WebUI — トラフィック (0 vs 80.45万)・料金・徹底比較

Open AI Tools

Msgmate.io vs Open WebUI — トラフィック (0 vs 80.45万)・料金・徹底比較 | Open AI Tools

トラフィックと仕様の並列比較マトリクス

項目 / 指標	Msgmate.io	Open WebUI
公式ドメイン	msgmate.io	openwebui.com
料金モデル	有料	フリーミアム
月間訪問数	0 (0)	80.45万 (804,534)
前月比トラフィック増減	0 (0%)	-2.3万 (-2.8%)
主要市場とシェア	🌐 グローバル (—)	🇺🇸 アメリカ合衆国 (24.5%)
月間ダイレクト訪問数	0	29.98万
ユーザー評価	4.3	4.4
対応プラットフォーム	ウェブサイト	ウェブサイト

Msgmate.io

Msgmate.io is the home of Open-Chat Go, a self-hostable, federated chat platform that pairs a Go backend and React frontend with an async worker queue, REST and WebSocket APIs, bots and agents, and a growing set of LLM models and tools. You can chat with models in the browser, through a terminal UI, or by wiring the API into your own messenger and automation stack.

Multi-model LLM chat

Chat with large language models in a federated web app, with the active model shown and selectable - the site currently references cognitivecomputations/dolphin-2.6-mixtral-8x7b.

REST and WebSocket APIs

A REST API and WebSocket interface, plus an interactive OpenAPI reference, let developers build bots, agents and their own clients on top of the platform.

Self-hosting

Because Open-Chat Go is open source and self-hostable, you can run the Go backend, async worker queue and React frontend on your own servers. Docs cover flags, environment variables and deployment.

Bots, agents and tools

Bots and agents add tools and integrations to the base chat experience, so the assistant can do more than plain conversation.

強み・メリット

+Open-source and self-hostable, so you can run the Go backend and React frontend on your own infrastructure
+Documented REST and WebSocket APIs with an interactive OpenAPI reference for building bots and clients