mesalogo
c98fe67f1a
Long direct-model conversations mixed provider usage with local estimates, and Agent tool rounds could remain above the configured compression target. Compression state and status markers also did not reliably survive restarts or bounded history rollover. Direct-model calls now prefer provider-reported usage, compact complete conversation turns and Agent tool rounds within reserved payload budgets, and persist reusable summaries with scope-specific markers. The chat meter separates latest-call usage from estimated compressed conversation size, while failed or cancelled calls retain the last successful measurement. Release note: 直连模型现可在长对话和多轮工具执行中自动压缩旧上下文，并分别显示本次调用用量与压缩后对话估算；摘要会自动保存并跨重启复用，无需手动操作。
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 and Continue, with cancellation, timeouts, output limits, and process cleanup.
- Open integrations: Supports OpenAI Responses, OpenAI-compatible Chat Completions, Anthropic Messages, OpenAI Images, Embeddings, Skills, and MCP.
- 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.
- 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.