mesalogo
076b3aaa7b
GoodBuddy previously required an external OpenAI-compatible endpoint for vector retrieval. It can now install, verify, import, remove, and run the built-in Granite multilingual embedding model in an isolated local inference process, while retaining custom embedding connections and migrating existing settings. The model connection UI now manages built-in and custom vector connections consistently, reports the actual retrieval path, preserves credentials across failed saves, and renders the vector tab synchronously. Related settings copy, switch styling, metadata typography, and renderer bundle guardrails are aligned with the resulting workflow. Release note: 新增可管理的内置 Granite 多语言向量模型，支持本地下载、离线导入、连接切换与诊断；同时优化向量设置及相关界面的文案、开关和状态显示。
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, and the documentation index for product, architecture, design, and quality documents.
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.