免費 / 開源主要作為本地模型的輕量級 CLI 執行環境,而非功能齊全的聊天介面。
Open WebUI 每月有 804,534 次造訪,月增率 -2.8%,定價模式為免費增值。PolygrAI 每月有 2,011 次造訪,成長率 -46%,定價模式為免費增值。

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.
| 面向/指標 | ![]() | ![]() |
|---|---|---|
| 官方網域 | openwebui.com | polygr.ai |
| 定價模式 | 免費增值 | 免費增值 |
| 每月造訪次數 | 80.45萬 (804,534) | 2011 (2,011) |
| 月流量變化量 | -2.3萬 (-2.8%) |
| -1710 (-46%) |
| 主要市場與市佔 | 🇺🇸 美國 (24.5%) | 🇮🇳 印度 (100%) |
|---|
| 每月直接造訪 | 29.98萬 | 787 |
|---|
| 使用者評分 | 4.4 | 3.7 |
|---|
| 支援平台 | 網站 | 網站 |
|---|

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.
Connect local runtimes like Ollama alongside OpenAI-compatible and Anthropic APIs, and switch between them inside one interface.
RAG over your own documents, web search and citation-aware answers come standard, so responses are grounded in real sources.
Extend the platform with Python code to add custom tooling, preprocessing, and multi-step pipelines, then share them with others.
SSO, RBAC, audit logs, data residency, and on-premises, hybrid or air-gapped deployment for organisations with strict requirements.

可評分、建立側寫並標記潛在欺騙風險的 AI 面試平台
依據音訊、視覺、語言與行為線索產生 AI 驅動的誠信評估,並標出潛在欺騙訊號。
預先設定目標,讓平台對回答評分排序並附上評語,評估已展現的技能並突顯最佳媒合。
結合心理計量框架分析回答,推斷動機、情緒穩定性、風險偏好與決策傾向。
依職務產生問題,透過郵件或簡訊批次發送面試,支援定期重複與同意管理。
免費 / 開源主要作為本地模型的輕量級 CLI 執行環境,而非功能齊全的聊天介面。

免費 / 開源Focuses on collaborative team AI workspaces and plugins, but shares similar open-source architectural goals.
專項更強強烈專注於重視隱私的文件聊天與本地 RAG 管道,但提供較少的通用聊天 UI 功能。
免費 / 開源提供可在離線時輕鬆執行本地模型的桌面原生應用程式,但缺乏 Open WebUI 以伺服器為核心的多使用者功能。