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The AI comments pane reused its final empty-state title while the selected note detail was still loading. Slow CI runners could therefore satisfy the title wait before the final hint existed, causing the immutable v0.10.0 release validation to fail repeatedly. The pane now presents a distinct loading state until note data is ready, and regression coverage controls the delayed detail response before asserting the final empty state. Recovery metadata moves the unpublished 0.10.0 notes forward to 0.10.1 so upgrading users see the cumulative release once. Release note: 魔法笔记的 AI 评论区在笔记详情加载期间会明确显示加载状态,不再短暂显示空评论提示。
GoodBuddy
English | 简体中文
A secure, cross-platform, local-first desktop AI assistant and Agent workspace.
Highlights
- Controlled execution:
Askstays read-only;Executeruns only enabled tools within defined boundaries and records their activity. - Local-first data: Conversations, tasks, artifacts, memory, knowledge bases, and graphs are stored in local SQLite. API keys are encrypted by the operating system.
- Multiple runtimes: Connect directly to models or use OpenCode, Continue, and the preview DeepSeek Harness, with cancellation, timeouts, output limits, and process cleanup.
- Open integrations: Supports OpenAI Responses, OpenAI-compatible Chat Completions, Anthropic Messages, OpenAI Images, Embeddings, cross-runtime Skills and custom MCP, plus a default-off DeepSeek Harness npm plugin marketplace that users enable explicitly.
- Knowledge workspace: Import files, folders, and web pages, then search them with full-text, phrase, vector, and graph retrieval.
- Work management: Organize projects, conversations, tasks, activity, artifacts, memory, Magic Notes, and Smart Heartbeat.
- Remote channels: Connect WeChat ClawBot, WeCom, and DingTalk with separate remote sessions for each sender.
- Desktop context: Add selected files, screenshots, application windows, clipboard content, and voice.
- Offline speech: Use local SenseVoice, Paraformer, and Whisper models.
- Rich responses: Render Markdown, LaTeX, and controlled Mermaid diagrams.
See FEATURES.md for the detailed feature matrix and roadmap.
Install
Download a build from GitHub Releases:
| Platform | Architectures | Formats |
|---|---|---|
| Windows | x64, arm64 |
NSIS, portable ZIP |
| macOS | x64, arm64 |
DMG, ZIP |
| Linux | x64, arm64 |
AppImage, DEB |
Code signing and macOS notarization are not configured yet, so your operating system may display a security warning.
Run from source
Requires Node.js 24 and npm:
git clone https://github.com/mesalogo/goodbuddy.git
cd goodbuddy
npm ci
npm run dev
See BUILD.md for build and packaging instructions.
Privacy and security
- Model requests are sent only to services selected by the user.
- Local data stays in the operating system's application data directory by default.
- The Renderer has no access to raw Electron APIs or model credentials.
- The DeepSeek Harness plugin marketplace is off by default. After it is enabled and a third-party plugin is installed, its install scripts, initialization, and Execute tools run with the current user's permissions. Turning off the marketplace only hides its catalog and management interface; it does not disable or uninstall existing plugins. Installation requires explicit confirmation, and Ask limits only model tool calls.
- Remote delegation is disabled until the user configures an endpoint and token.
- Private-network compatibility permits in-app HTTP and non-standard HTTPS certificates. WeChat credential and media endpoints remain strictly validated.
Contributing
Issues and pull requests are welcome. Read AGENTS.md first, then run:
npm test
npm run typecheck
npm run lint
License
Original GoodBuddy code is released under the 0BSD License. You may use, modify, distribute, and commercialize it freely. Third-party components and resources retain their respective licenses.
Languages
TypeScript
91.9%
CSS
4%
JavaScript
1.9%
Python
1.8%
HTML
0.4%




