Highlights
Self-contained single binary. The compiled frontend is now embedded into the
binary via go:embed — download one file, run it, done. No separate
frontend/dist directory is needed at runtime.
73% smaller downloads. Release assets are now compressed archives (~19 MB,
down from a ~70 MB raw binary). Under the hood the frontend bundle went from
28 MB to 11 MB by deduplicating shiki (it was bundled twice at v3 and v4) and
shipping a curated syntax-highlighting set: 28 common languages with GitHub
light/dark themes. Code blocks in other languages render as plain text.
Apache License 2.0. The project is now formally licensed.
Downloads
| Platform | File |
|---|---|
| Linux (x86_64) | workavera_0.0.3_linux_amd64.tar.gz |
| macOS (Apple Silicon) | workavera_0.0.3_darwin_arm64.tar.gz |
| Windows (x86_64) | workavera_0.0.3_windows_amd64.zip |
Verify with SHA256SUMS.txt:
shasum -a 256 -c SHA256SUMS.txt --ignore-missing
## Quick starttar -xzf workavera_0.0.3_linux_amd64.tar.gz
./workavera serve --http=0.0.0.0:8090
Open http://127.0.0.1:8090/, create the first superuser via the Admin UI at
/_/, then add a model configuration in Settings before using Chat.
Data is stored in ./pb_data. Docker images remain available at
ghcr.io/xusenlin/workavera.
## Other changes
fix(board): expose state sortOrder to AI tools
docs: license badge, NOTICE file, chat screenshot