Happy Friday Lite
August 24, 2026 · View on GitHub
An Electron + Vue 3 desktop personal knowledge assistant that combines an AI agent, RAG knowledge retrieval, rich-text notes, and a calendar. All data is stored locally with privacy as a priority.
✨ Key Features
🤖 Friday AI Assistant
- Built with DeepAgent SDK and LangChain
- 12+ built-in tools: knowledge-base search, note and schedule management, file operations, shell execution, Python REPL, HTTP requests, web scraping, JSON processing, calculator, and more
- Human-in-the-Loop (HITL) support for approval before sensitive operations
- SKILL system that loads Markdown skill descriptions from the
SKILL/directory - Subagents and cross-session memory powered by SQLite and InMemoryStore
📚 Knowledge Base
- Personal, local, and agent knowledge bases
- Full RAG pipeline: document loading -> parent-child chunking -> embedding -> vector search
- Unified Zvec vector storage, separated by
kb_type - File watching, scheduled incremental indexing, and manual updates
- PDF, Word, Excel, Markdown, HTML, EPUB, and plain-text support
📝 Notes
- TipTap rich-text editor
- Syntax-highlighted code blocks, tables, task lists, images, links, and more
- AI Fill-in-the-Middle (FIM) completion
- Version history and diff comparison
📅 Schedule
- Schedule-X calendar view with lunar calendar support
- Create and update schedules with natural language through Friday
🎨 More
- Light, dark, and system themes
- Simplified Chinese and English localization
- Automatic data backups and a multi-tab interface
🖼️ Screenshots
Friday AI Assistant


Knowledge Base

Notes

Schedule

Automated Tasks

DeepSeek Harness

Settings

🚀 Quick Start
Requirements
- Node.js >= 20 (22 recommended)
- npm >= 10
- macOS, Windows, or Linux
Install Dependencies
npm install --legacy-peer-deps
Run in Development
# Frontend only
npm run dev
# Electron + frontend (starts Electron automatically)
npm run electron:dev
Build a Release Package
# Build an installer for the current platform
npm run electron:build
# Build for arm64
npm run electron:build:arm64
Build artifacts are written to release/.
Configure Python under Settings -> General -> Python Environment. Use Auto Detect to find an installed interpreter, or select its executable manually. The AI assistant can install missing dependencies from
python/requirements.txtusing pip/pip3.
📦 Download
Download the installer for your platform from Releases:
| Platform | Artifact |
|---|---|
| macOS (Apple Silicon) | *-mac-arm64.dmg |
| Windows | *-win-x64-setup.exe |
| Linux | *-linux-*.AppImage |
🛠️ Tech Stack
| Layer | Technology |
|---|---|
| Desktop framework | Electron 42 |
| Frontend framework | Vue 3 + Vite 6 |
| State management | Pinia |
| Routing | Vue Router |
| Internationalization | Vue I18n |
| Rich-text editor | TipTap |
| Calendar | Schedule-X |
| AI agent | DeepAgents + LangChain |
| Vector database | Zvec |
| Local database | SQLite (sql.js) |
| Python runtime | Bundled portable Python for the Agent python_repl tool |
📂 Project Structure
happy-friday-lite/
├── main.js # Electron main-process entry
├── preload.cjs # Preload script
├── src/ # Vue frontend source
│ ├── components/ # Shared components (chat / layout)
│ ├── views/ # Page views
│ │ ├── friday/ # Friday assistant
│ │ ├── knowledge/ # Knowledge base
│ │ ├── note/ # Notes
│ │ ├── schedule/ # Schedule
│ │ ├── history/ # Version history
│ │ └── settings/ # Settings
│ ├── store/ # Pinia state modules
│ ├── i18n/ # Localization resources
│ └── router/ # Router configuration
├── src-electron/ # Electron backend
│ ├── agent/ # Agent core (tools / skills / subagents / permissions / memory)
│ ├── rag/ # RAG pipeline (loading / chunking / embedding / retrieval)
│ ├── db.js # SQLite database
│ ├── llm.js # LLM adapter
│ └── python-env.js # Python runtime environment
├── python/ # Python runtime download scripts
├── scripts/ # Build helper scripts
└── .github/workflows/ # CI build workflows
🔧 Configure an AI Model
On first use, go to Settings -> Model Configuration and enter an API Base URL (for example, https://api.openai.com/v1), API key, and model name.
Any OpenAI-compatible provider is supported, including OpenAI, DeepSeek, Qwen, Zhipu AI, Kimi, and Doubao.
🤝 Contributing
Issues and pull requests are welcome. Please ensure the project builds successfully, changes follow the existing code style, and documentation is updated with new features.
📄 License
This project is released under the PolyForm Noncommercial License 1.0.0.
- ✅ Allowed: personal use, learning and research, modifying the code, and distributing the source code
- ❌ Prohibited: commercial use in any form
- ⚠️ Required: retain the original author's attribution and copyright notice when using or distributing the project
Read LICENSE for details.
🙏 Acknowledgments
📧 Contact
For questions or suggestions, open an Issue or email chenjie.plus@qq.com.