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。TeamFeedback 每月有 979 次造訪,成長率 -50%,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 | teamfeedback.co |
| 定價模式 | 免費增值 | 免費增值 |
| 每月造訪次數 | 80.45萬 (804,534) | 979 (979) |
| 月流量變化量 | -2.3萬 (-2.8%) | -979 (-50%) |
| 主要市場與市佔 | 🇺🇸 美國 (24.5%) | 🇹🇷 土耳其 (100%) |
| 每月直接造訪 | 29.98萬 | 403 |
| 使用者評分 | 4.4 | 4.2 |
| 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.

把員工回饋變成 AI 摘要、洞察與團隊成長
Collect structured 360-degree feedback and turn it into reports that support a culture of continuous improvement.
Post engaging surveys that take about two minutes to complete, gathering data on performance, mood and issues.
An anonymised control panel gives an overview of team mood, work approach and open issues.
AI summarises multiple feedbacks into a quick review, then generates employee goals based on feedback and team skill gaps.
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。