π eVera v2.3.0
What's Changed
- fix: correct name extraction regex in graph.py
- fix: add ModelTier.REFLEX tier and fix ChatResponse.tier type
- ci(evera.yml): remove main/release branch references β master is the only branch
- ci: consolidate 15 workflow files into single evera.yml
- fix(ci): add master to all branch triggers, fix install.sh URL to /master/
π₯ Download & Install
| Platform | File | How to install |
|---|---|---|
| Windows | Vera-Setup-*.exe |
Run the installer β everything is bundled |
| macOS | Vera-*.dmg |
Open DMG β drag Vera to Applications |
| Linux (AppImage) | Vera-*.AppImage |
chmod +x Vera-*.AppImage && ./Vera-*.AppImage |
| Linux (deb) | Vera-*.deb |
sudo dpkg -i Vera-*.deb |
| Android | Vera-*.apk |
Enable unknown sources β tap APK |
| Android Auto | Vera-Auto-*.apk |
Install on phone β connect to car |
| Wear OS | Vera-Wear-*.apk |
Sideload or install via Play Store |
| iOS | Vera.xcarchive.zip |
Open in Xcode β distribute to device |
| Web (PWA) | β | Open http://localhost:8000 in any browser |
β‘ One-Command Install
Linux / macOS
curl -fsSL https://raw.githubusercontent.com/embeddedos-org/eVera/master/install.sh | bashWindows (PowerShell)
irm https://raw.githubusercontent.com/embeddedos-org/eVera/master/setup.ps1 | iexπ€ Offline LLMs (no internet needed)
ollama pull qwen3:8b # 5 GB β recommended
ollama pull llama3.2:3b # 2 GB β fastest
ollama pull deepseek-r1:7b # 5 GB β best reasoningOr use LM Studio, Jan AI, or llama.cpp β eVera auto-detects all of them.