project-overview
Installation
SKILL.md
WeReply Project Overview
微信回复建议助手 (WeChat Reply Suggestion Assistant) built with Tauri + Rust + React TypeScript.
Project Context
WeReply is a desktop application that monitors WeChat conversations and provides AI-powered reply suggestions using DeepSeek API. The system consists of a Rust Orchestrator, Platform-specific Agents (Windows/macOS), and a React-based Assistant Panel.
Core Technology Stack
Backend (Rust 2021):
- Framework: Tauri 2.x + Tokio (full async runtime)
- IPC Protocol: JSON via stdin/stdout
- AI Integration: reqwest (DeepSeek API client)
- Type Binding: specta 2.0 + tauri-specta 2.0 (auto TypeScript generation)
- Logging: tracing + tracing-subscriber
- Configuration: System keychain (API key storage) + JSON (user config)