

Worklog
Worklog is a local-first desktop project manager for small development teams. It is built for fast, keyboard-first planning with a Kanban workflow and zero cloud dependency for core usage.
Cost / License
- Free
- Open Source (MIT)
Platforms
- Mac
- Windows
- Linux
Features
Properties
- Privacy focused
Features
- No Tracking
- No registration required
- Dark Mode
- Ad-free
- Works Offline
- Kanban Board
- Separated workspaces
- Collaborative Workspaces
- Persistent Storage
Git integration
- Command palette
- Team Collaboration
- Support for Keyboard Shortcuts
- SQLite
- Low Latency
Worklog News & Activities
Recent activities
Worklog information
What is Worklog?
Worklog is a local-first desktop project manager for small development teams. It is designed for fast, keyboard-driven planning with a Kanban workflow, transparent local data, and no cloud dependency for core usage.
What Worklog is:
Worklog is built around a simple hierarchy: Workspace > Board > Ticket
That structure keeps the app focused on one job: help a small team organize work without turning the product into a heavyweight project suite. The app is meant to feel instant, predictable, and easy to operate from the keyboard.
The concept is intentionally local-first:
- Data stays on the machine that owns the workspace
- The app works offline
- The storage model remains transparent and portable
- Every meaningful action is explicit
The app already supports:
- Workspace, board, and ticket management
- A Kanban board with Backlog, Todo, In Progress, and Done columns
- Ticket details with inline editing and comments
- Board and ticket context actions via right-click menus
- Command palette and keyboard shortcuts
- Workspace persistence with restore on startup
- Background Git auto-sync with configurable intervals and pull-before-push strategy
- Global application zoom (50 % – 200 %) with keyboard shortcuts and persistence
- Edit Board action from the sidebar context menu
- Hardcoded Linux rendering overrides for maximum stability
- Database lazy loading and infinite scroll for large datasets
- SQLite schema migration infrastructure for safe, lossless upgrades







Comments and Reviews
Is it possible to set the time in the schedule?