Chatbot App 每月有 2,170,883 次造訪,月增率 -9.7%,定價模式為免費增值。Msgmate.io 每月有 0 次造訪,成長率 0%,定價模式為付費。
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.
| 面向/指標 | ![]() | |
|---|---|---|
| 官方網域 | chat.chatbotapp.ai | msgmate.io |
| 定價模式 | 免費增值 | 付費 |
| 每月造訪次數 | 217.09萬 (2,170,883) | 0 (0) |
| 月流量變化量 | -23.42萬 (-9.7%) | 0 (0%) |
| 主要市場與市佔 | 🇺🇸 美國 (26.3%) | 🌐 全球 (—) |
| 每月直接造訪 | 49.82萬 | 0 |
| 使用者評分 | 3.9 | 4.3 |
| 支援平台 | 網站 | 網站 |

在一個簡潔快速的工作區與 30+ 主流 AI 模型對話
在對話中隨時於 ChatGPT、Claude、Gemini、Llama 等主流模型之間切換,無需離開頁面。
一次把同一提示送給多個模型,比較回答以挑選最佳結果。
在同一工作區內依文字提示生成圖像,與聊天串並行使用。
在連續對話中用你選定的模型起草、改寫、摘要與潤飾文字。
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.
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.
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.
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 and agents add tools and integrations to the base chat experience, so the assistant can do more than plain conversation.

Deep integration with Google ecosystem and massive context window, but restricted solely to Google's proprietary model family.
Deep integration with Google ecosystem and massive context window, but restricted solely to Google's proprietary model family.
Superior long-form writing, coding artifacts, and analytical depth, but lacks access to alternative provider models in one UI.
免費 / 開源由 DeepSeek-V4 與 R1 驅動的高效開源權重與託管推理 AI,token 成本極低。

Real-time access to live social media data, but lacks multi-model aggregation and customization features found in dedicated chat aggregators.
專項更強Excels at real-time web search with verified citations, but less optimized for open-ended creative writing or multi-model comparisons.
專項更強Excels at real-time web search with verified citations, but less optimized for open-ended creative writing or multi-model comparisons.

專項更強Outstanding handling of extremely long documents and deep research, but less versatile for general multi-vendor model comparison.
免費 / 開源在本機或雲端執行與打造開源 AI 模型
免費 / 開源LabEx is a hands-on learning platform for Linux, DevOps, cybersecurity, programming, and data science. Instead of watching videos, learners work inside real online terminals and virtual environments to complete structured labs and build portfolio-ready projects.
免費 / 開源LabEx is a hands-on learning platform for Linux, DevOps, cybersecurity, programming, and data science. Instead of watching videos, learners work inside real online terminals and virtual environments to complete structured labs and build portfolio-ready projects.

免費 / 開源Open WebUI is an open-source, self-hosted AI interface that lets individuals and organizations run any model — local or cloud — inside a workspace they fully control. It ships as a one-command install, supports Ollama, OpenAI-compatible and Anthropic endpoints, and extends through Python tools, functions and pipelines.
免費 / 開源Open WebUI is an open-source, self-hosted AI interface that lets individuals and organizations run any model — local or cloud — inside a workspace they fully control. It ships as a one-command install, supports Ollama, OpenAI-compatible and Anthropic endpoints, and extends through Python tools, functions and pipelines.