
GoHumanize Open Humanizer
io.github.GoHumanize-ai由 GitHub 账号 GoHumanize-ai 发布v0.1.12更新于 Oct 25, 2026
Rewrite AI-styled text into natural writing with a fine-tune model.
概览
本地 MCP 服务器,让助手用开源的 GoHumanize Humanizer 模型把 AI 风格的英文改写成更自然的文字。
- 可以做什么
- 把一段英文改写成更自然、更像人写的文字,50 到 400 词效果最好,最长 1,500 词按段落处理
- 每次调用请求多份改写,保留改动最大且长度合理的那一份
- 查询该模型是什么以及当前使用的是哪个端点
- 适用场景
- 适合需要助手润色生硬、机器味重的英文草稿,或想通过 OpenAI 兼容端点在本机运行一个小型开源改写模型的场景。
- 运行要求
- 通过 npx 在本地运行(需要 Node.js)。需要一个 OpenAI 兼容端点:自托管的模型(如用 Ollama 加载已发布的 GGUF 版本),或需要 OPEN_HUMANIZER_API_KEY 的托管演示端点。可选变量:OPEN_HUMANIZER_URL、OPEN_HUMANIZER_MODEL、OPEN_HUMANIZER_SAMPLES。仅支持桌面客户端。
安装
在 SourceWeft 中
- 打开 控制台中的 GoHumanize Open Humanizer,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
GoHumanize Open Humanizer MCP server
[npm] [Model on Hugging Face] [DOI] [License: Apache 2.0]
An MCP (Model Context Protocol) server that lets AI assistants call the GoHumanize Open Humanizer: a small open model (Qwen3-4B fine-tune, Apache-2.0) that rewrites AI-styled English text into more natural human prose.
Tools:
humanize_textrewrite a passage (50 to 400 words works best; longer texts are processed paragraph by paragraph, up to 1,500 words).about_open_humanizerwhat the model is and which endpoint is in use.
The model is educational and makes no claim about AI detectors. It is separate from the production models used by GoHumanize.ai.
Several rewrites, best one returned
On modern prose the model sometimes plays safe and hands the text back almost unchanged
(about one try in six). Each call asks the endpoint for five rewrites (generated in
parallel, so the wait is the same) and keeps the one that moved furthest from the input while
staying a sensible length. Set OPEN_HUMANIZER_SAMPLES=1 for a single request.
Links
Use
Which endpoint
The model runs wherever you point the server. Running it yourself needs no key and is the recommended setup:
The hosted endpoint sleeps when idle. The first request after a quiet period waits for a GPU cold start, measured at one to two minutes; afterwards a rewrite takes a second or two. MCP clients apply their own timeout, often 60 seconds, so the first call through a client may fail even with a valid key and succeed on retry. Running the model locally avoids this entirely.
The endpoint the server falls back to is the one behind the browser demo on
gohumanize.ai/open-model. It is rate-limited and
requires OPEN_HUMANIZER_API_KEY, so it is not open for general use; to try the
model without installing anything, use the demo on that page.
Any OpenAI-compatible server works:
OPEN_HUMANIZER_API_KEY sets a bearer token when the endpoint needs one.
Licence
Apache-2.0.
来源:README.md,提交 5caeb64
工具
0版本历史
1- v0.1.12最新Sep 26, 2026
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