XingC Intelligent Email Assistant: A Multi-Model Integrated Outlook AI Plugin

Project Basic Information

• Original Author/Maintainer: XingC233
• Source Platform: GitHub
• Release Time: June 2026

Core Features

A web add-in for Microsoft Outlook that supports multi-model switching between DeepSeek V3, Alibaba Tongyi Qianwen Plus, and Google Gemini. It has smart reply, email summarization, RAG knowledge base integration, privacy protection functions, and supports local deployment.

For professionals who handle a large number of emails daily, the mailbox often becomes an efficiency black hole: repetitive tasks such as reading long emails, drafting replies, and organizing forwards consume a lot of time. Traditional email clients have limited intelligence and lack semantic understanding capabilities; with the maturity of large language models (LLMs), embedding AI into the email workflow has become a natural choice.

Technical Architecture

Adopts front-end and back-end separation:

• Backend: Python + FastAPI + uvicorn (responsible for LLM calls, RAG retrieval, PII detection, etc., port https://localhost:8000)
• Frontend: JavaScript + Office.js + Webpack (Outlook sidebar plugin, port https://localhost:3000) Both use HTTPS, and a self-signed certificate generation script is provided to simplify deployment.

Configuration Extensibility

All settings are centralized in config.yaml, including default LLM model, RAG parameters (chunk size, similarity threshold, etc.), CORS configuration, supporting user customization of AI behavior.

1. Smart Reply Generation: Analyzes email content, generates one-click reply drafts in multiple styles (formal/daily) with adjustable length, suitable for consultation email scenarios.
2. Email Summary Extraction: Automatically extracts core points from long email threads to help quickly grasp the main idea.
3. Draft Optimization and Rewriting: Optimizes reply clarity, grammar, and professionalism, supports paragraph style/language conversion.
4. RAG Knowledge Base Integration: Upload PDF/DOCX files, AI references document content when replying, suitable for customer service/sales positions.
5. Privacy Protection: Automatically detects and anonymizes personally identifiable information (PII) before sending to LLM.

• Enterprise Customer Service Teams: Smart replies improve response speed, and the RAG knowledge base helps accurately reference product materials/policies.
• Cross-border Business Communication: Bilingual support + tone adjustment facilitates cross-cultural communication.
• Email-intensive Positions: Email summaries and quick replies reduce the cognitive burden for management, sales, and other positions.

Limitations

• Requires local deployment, which has a threshold for ordinary users;
• Only supports the Outlook Web version.

Improvement Suggestions

• Provide a cloud-hosted version to lower the usage threshold;
• Adapt to the Outlook desktop version.

The XingC Intelligent Email Assistant demonstrates the practical application value of LLMs in office scenarios. Designs such as multi-model support, RAG integration, and privacy protection reflect an understanding of business needs. For technical teams hoping to integrate AI into the email workflow, it is a worthy open-source solution to reference.