Gmail Agent 開發專案：以 AI 協助自由工作者處理重複電郵工作

Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle Submission 💸

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle

What I Built:
I'm building Gmail Agent, a small AI assistant designed to help freelancers and independent professionals manage repetitive email tasks.
Freelancers often spend valuable time reading client requests, identifying important details, deciding what to do next, and writing professional replies. Gmail Agent aims to make this process easier by analyzing an email, extracting its key information, suggesting the next action, and preparing a reply for the user to review.
My goal is to create a simple, practical tool that could save freelancers time and eventually become useful to tutors, virtual assistants, and small business owners.

Demo
The project is currently in development. I'll update this section with a working demo or screenshots once it is ready.

Code
GitHub repository: https://github.com/mounab3/gmail-agent

How I Built It
I'm developing Gmail Agent around open-weight AI and open-source agent technology. Rather than downloading another large model onto my computer, I plan to explore hosted inference with open-weight models through Backboard and use Mastra to learn how AI agents, tools, and workflows work together.
The planned workflow will analyze email content, extract relevant details, identify missing information, and prepare a suggested reply. I also want to explore the Gmail API so users can authorize access to selected messages rather than manually copying every email.
I'm keeping the first version small so I can understand each component, test the workflow, and build on it gradually.

Why Does Open Innovation Matter?
I want to explore how open-weight AI and open-source agent frameworks can make practical AI tools more accessible to individual developers and small businesses.
For a freelancer, the ability to choose between available models and providers could offer more flexibility than depending entirely on one proprietary AI service. Open-source frameworks also allow developers to inspect, modify, and extend the workflows behind their applications.
Because email can contain sensitive information, privacy is another important consideration. I plan to use fictional messages while developing and to handle Gmail authorization and API credentials carefully. Since the initial model setup may involve a hosted provider, I will also document the relevant data-handling limitations rather than claim that all processing happens locally.
My goal is to learn how these technologies can work together to build something useful, affordable, and adaptable.

My Agent Session

Prize Categories
Mastra
Backboard *

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