The Best Private AI Email Clients in 2026
Stop CC'ing cloud providers on your private emails. These are the tools that bring the AI to your data, not the other way around.
Inboxed
Inboxed is built from the ground up for the era of on-device intelligence. Using Rust and Apple's MLX framework, it runs 7B+ parameter models directly on your Mac's GPU.
Why it wins
- • 100% Offline AI Processing
- • Native Apple Silicon performance
- • Minimalist, high-performance UI
- • Free for individual use
Best for
Professionals, developers, and privacy-conscious users who want Superhuman-level speed without the $30/mo price tag or cloud tracking.
0.email
An impressive open-source project that runs LLMs in the browser via WebLLM and WASM. It's a great choice for users who want a pure web-based experience with local privacy.
Pros
- • Fully Open Source
- • No installation required (Web)
- • Zero data retention
Cons
Performance is limited by browser WASM constraints. Can feel sluggish compared to native apps on large inboxes.
Thunderbird
The classic choice for privacy enthusiasts. While it doesn't have native AI yet, the plugin ecosystem is beginning to offer local LLM integrations for summarization.
Pros
- • Extremely customizable
- • Battle-tested security
- • Cross-platform (Linux/Win/Mac)
Cons
Requires significant setup for AI. Dated UI and high memory usage. Not optimized for modern Apple Silicon.
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