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)
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More from cacr92/wereply

Installs
4
Repository
cacr92/wereply
GitHub Stars
1
First Seen
Mar 10, 2026