amosblomqvist/learnharness

选用指南

AI 根据 README 整理 · 2026/10/25 06:56:52

使用方式

桌面应用，支持 macOS、Windows 和 Linux，通过图形界面操作。

查看 README 依据

**[Download from learnharness.ai](https://learnharness.ai)** · [GitHub Releases](https://github.com/amosblomqvist/learnharness/releases) - **macOS (Apple Silicon):** signed and notarized DMG. Drag the app to Applications. - **Windows (x64):** run the installer. It is currently unsigned; Windows may show an “unknown publisher” or SmartScreen warning. - **Linux (x64):** make the AppImage executable and open it, or install the Debian/Ubuntu `.deb`.

部署要求

需要配置外部 AI 提供商的 API 密钥，如 OpenAI、Anthropic 等；可选网络搜索和听写服务需额外密钥。

查看 README 依据

Add your provider API key and choose your models, then start a session with what you want to understand. LearnHarness supports 30+ provider options, including OpenAI, Anthropic, Google, DeepSeek, and OpenRouter. Optional dictation and web search use separate service keys. All three platforms support in-app updates. ## Your keys, your data - **Your keys and models.** No LearnHarness subscription or markup. You pay your providers for usage; a live cost meter shows model costs.

已知限制

本地存储不代表离线处理，模型请求和外部服务需要网络连接。

查看 README 依据

- **Local storage.** Your chats, graph, settings, and API keys live on your machine. Learning records are plain files you can inspect. - **External services.** Models run through your configured providers. Model requests send the context needed for the task; web research and dictation also contact external services. Local storage does not mean offline processing. - **Inspectable behavior.** System prompts are visible and editable. The app is open source under the AGPL-3.0 license. ## Development and support ```bash npm install npm run dev # http://localhost:3000