Linear-Motion Sync Tool
A command-line microservice that automatically synchronizes Linear issues with your Motion calendar, eliminating the manual effort of keeping your work items in sync between platforms.
Overview
The Linear-Motion Sync Tool is designed for developers who use Linear for team project management and Motion for personal task and calendar management. It provides a robust, configurable pipeline to sync assigned Linear issues to your Motion calendar, ensuring your personal to-do list accurately reflects your work commitments.
Key Features
- Automated Task Creation: Automatically creates Motion tasks from assigned Linear issues
- Bidirectional Status Updates: Marks Linear issues with completion tags when tasks are finished in Motion
- Flexible Configuration: Support for multiple Linear workspaces, custom time estimates, and sync schedules
- Fault Tolerance: Resilient to API failures with comprehensive error logging
- Real-time Updates: Webhook and polling support for immediate synchronization
Installation
Option 1: Cargo (Rust Package Manager)
Option 2: Universal Binary Installer (ubi)
Option 3: Mise with Cargo
Option 4: Mise with ubi
Option 5: GitHub Releases
Download the latest binary from the GitHub releases page.
Quick Start
-
Initialize configuration:
-
Edit the generated
config.json
with your API keys and preferences -
Run a one-time sync:
-
Start continuous background syncing:
-
Check sync status:
-
(coming soon) Podman Quadlet: Run the daemon under podman + systemd with auto-updates.
Configuration
The tool uses a config.json
file for configuration. Here's the structure:
Configuration Options
- motion_api_key: Your Motion API key for task management
- sync_sources: Array of Linear workspace configurations
- name: Friendly name for the sync source
- linear_api_key: Linear API key for this workspace
- projects: Optional list of specific Linear projects to sync
- webhook_base_url: Optional webhook URL for real-time updates
- sync_rules: Source-specific sync rules (overrides global rules)
- global_sync_rules: Default sync behavior
- default_task_duration_mins: Default task duration when no estimate exists
- completed_linear_tag: Tag applied to Linear issues when Motion tasks are completed
- time_estimate_strategy: Mapping of Linear estimates to Motion durations
- polling_interval_seconds: How often to check for updates (default: 300 seconds)
- schedule_overrides: Different polling intervals for specific times/days
Time Estimate Strategies
The tool supports multiple estimation systems:
- Fibonacci: Story point values (1, 2, 3, 5, 8, 13, etc.)
- T-Shirt: Size-based estimates (XS, S, M, L, XL)
- Linear: Linear's built-in estimation
- Points: Generic point-based system
How It Works
- Initial Sync: On startup, syncs all open assigned Linear issues to Motion
- Ongoing Updates: Uses webhooks or polling to detect new/updated Linear issues
- Task Creation: Creates Motion tasks with appropriate durations based on Linear estimates
- Completion Tracking: Monitors Motion for completed tasks
- Bidirectional Update: Tags completed Linear issues and removes them from sync
Commands
-
linear-motion init
- Generate configuration template -
linear-motion sync
- Run one-time sync -
linear-motion sync --watch
- Start continuous background sync -
linear-motion status
- Show current sync status and errors
Use Cases
Perfect for developers who:
- Use Linear for sprint planning and issue tracking
- Use Motion for personal time management and calendar blocking
- Want to automate the tedious task of keeping both systems in sync
- Need accurate time blocking based on work estimates
- Want bidirectional status updates between systems
Technical Details
- Database: Uses local
fjall
database for ID mappings and status tracking - API Integration: Respects rate limits for both Linear and Motion APIs
- Fault Tolerance: Handles API failures gracefully with retry logic
- Concurrency: Single daemon process with IPC for status queries
- Security: API keys stored in local configuration file
Contributing
Contributions are welcome! Please see the contributing guidelines for details.
License
This project is dual-licensed under either of
- Apache License, Version 2.0, (LICENSE-APACHE)
- MIT license (LICENSE-MIT)
at your option. See LICENSE.md for details.