back to top
HomeSoftwareAI ToolsVelo: Fast & AI-Enhanced Desktop Email Client with Offline Support

Velo: Fast & AI-Enhanced Desktop Email Client with Offline Support

- Advertisement -

File Information

FileDetails
NameVelo
Versionv0.3.17
PlatformsWindows, macOS & Linux
LicenseApache-2.0 License (Open Source)
Size6MB (exe) • 18MB (dmg) • 10MB (deb) • 85MB (AppImage)
AI SupportAnthropic, OpenAI GPT, Google Gemini
GitHub RepositoryGithub/velo
Official Sitevelomail

Description

Velo is designed for speed, privacy, and efficiency. Your emails are stored locally in an SQLite database, so you stay in full control of your data without any external servers or hidden trackers.

Its keyboard-first interface allows fast inbox management, while built-in AI features help you summarize threads, compose smart replies, and search naturally.

If you want a fully offline client or prefer connecting to Gmail or IMAP/SMTP accounts, Velo adapts to your workflow.

Screenshots

Features of Velo Email Client

FeatureDescription
Split InboxEmails are auto-sorted into Primary, Updates, Promotions, Social, and Newsletters using rule-based categorization with AI fallback.
AI AssistantChoose Claude, GPT, or Gemini for thread summaries, smart replies, AI drafts, and natural-language inbox search.
Multi-Account SupportConnect Gmail (OAuth), Outlook, Yahoo, iCloud, Fastmail, or any IMAP server with auto-discovery.
Command Palette & SearchGmail-style operators (from:, has:attachment, before:) with fuzzy matching and instant results.
Quick Steps AutomationChain up to 18 actions (archive, label, reply, forward) into one-click workflows.
Snooze & ScheduleSnooze threads to resurface later and schedule emails to send at the perfect time.
Undo SendConfigurable delay window to cancel emails before they are delivered.
Newsletter BundlesGroup newsletters into scheduled bundles and read them on your terms.
Filters & RulesAuto-apply labels, archive, star, or mark as read with AND-logic criteria.
Calendar IntegrationBuilt-in Google Calendar to view events and create meetings without switching apps.
Rich ComposerTipTap editor with formatting, templates, signatures, attachments, and auto-save drafts.
Phishing Detection10 heuristic security checks including homograph attacks and brand impersonation detection.
Themes & CustomizationLight/dark mode, 8 accent colors, adjustable density levels, font scaling, and flexible reading pane.

System Requirements

OSMinimum Requirements
WindowsWindows 10+ (64-bit)
macOSmacOS 11+
LinuxModern 64-bit distro
RAM4GB+ recommended
Disk500MB+ free

How to Install Velo Email Client??

Windows (.exe)

  1. Download the .exe installer.
  2. Right-click → Run as administrator (if needed).
  3. Follow the setup wizard.
  4. Launch Velo from Start Menu.

macOS (.dmg)

  1. Download the .dmg file.
  2. Open and drag Velo to Applications folder.
  3. Open from Applications.

Linux (.AppImage / .deb / .rpm)

Option 1: AppImage (recommended)

  1. Download .AppImage.
  2. Right-click -> Properties -> Enable “Allow executing file as program”.
  3. Double-click to launch.

Option 2: Debian / Ubuntu (.deb)

  1. Download .deb.
  2. Double-click -> Open with Software Installer -> Click Install.

Option 3: RPM (Fedora, RHEL, CentOS)

  1. Download .rpm.
  2. Open with Software Installer.
  3. Click Install.

Recommended For You: Voicebox: Offline AI Voice Cloning & TTS Studio (Qwen3-TTS, Open Source)

Download Velo: Fast & AI-Enhanced Desktop Email Client For Windows , macOS & Linux

Privacy vs. AI: How Velo Handles Your Data

Velo handles your data in your own machine. While the emails are stored in a local SQLite database, using the AI features sends specific “thread snippets” to the AI providers (OpenAI/Anthropic/Gemini).

Conclusion

Velo combines speed, local privacy, AI enhancements, and native desktop performance in a single email client. Its lightweight design ensures fast startup, minimal memory use, and complete control over your emails. Perfect for professionals and power users who demand more from their email client.

LEAVE A REPLY

Please enter your comment!
Please enter your name here

YOU MAY ALSO LIKE
KanBots Open-Source AI Kanban Board for Claude Code & Codex Agents

KanBots: Open-Source AI Kanban Board for Claude Code & Codex Agents

0
Kanbots is a local-first AI kanban board designed for developers who want AI agents to work on multiple tasks in parallel instead of one conversation at a time. You open a repository, drop it into Kanbots, and instantly get a visual board where every card can become its own autonomous AI task. Claude Code or Codex agents run inside isolated git worktrees, allowing multiple coding sessions to happen simultaneously without interfering with each other. It treats AI agents more like active team members than chat assistants. Agents can split tasks into subtasks, review their own work, iterate in autopilot cycles, run QA loops, and continue refining changes until tests pass or a budget limit is reached. The board updates live as agents work, showing logs, decisions, costs, branches, and progress in real time. Kanbots stays heavily focused on local ownership. Everything lives inside the .kanbots/ directory within your project, database, configs, worktrees, attachments, and runtime state.
Osaurus Open-Source macOS AI App for Running Local LLMs Offline

Osaurus: Open-Source macOS AI App for Running Local LLMs Offline

0
Osaurus is a macOS-native AI harness designed around an idea "Your AI should belong to you." Instead of locking users into a single AI provider or cloud platform, Osaurus acts as a local control layer that sits between your AI models, tools, memory, and workflows. You can switch between local models running directly on Apple Silicon or connect cloud providers like OpenAI and Anthropic whenever you need extra power.
openhuman app

OpenHuman: Open-Source Personal AI Assistant With Memory, Voice & Integrations

0
OpenHuman is trying to make personal AI assistants feel less like developer tools and more like something you can actually live with every day. You install it, connect apps like Gmail, Notion, GitHub, Slack, or Calendar, and it starts building a private memory system from your data on your own machine. It feels closer to installing a desktop app and getting started in a few minutes. It also comes with a lot built in already including voice support, web search, coding tools, local AI through Ollama, and a memory system that stores everything as Markdown inside an Obsidian compatible vault. The agent keeps syncing connected apps every 20 minutes, so it slowly builds context around your work. The project is still in early beta, so there are rough edges, but the direction is interesting. Especially if you've been looking for an AI assistant that feels personal.

Don’t miss any Tech Story

Subscribe To Firethering NewsLetter

You Can Unsubscribe Anytime! Read more in our privacy policy