Welcome to Task Orchestrator - the tool that transforms meta-agents into orchestration engines.
Use Task Orchestrator inside your own project repository.
CloningT72/task-orchestratoris only required when contributing to Task Orchestrator itself.
| Guide | Purpose | Time to Read |
|---|---|---|
| Getting Started | Installation and first tasks | 5 minutes |
| Core Features | Essential capabilities | 15 minutes |
| Advanced Usage | Complex workflows | 20 minutes |
- Start with Getting Started
- Learn Core Features
- Try the QuickStart Guide
- Review Core Features
- Master Advanced Usage
- Read Developer Guide
- Check API Reference
- Read AI Agent Integration
- Study Orchestrator Guide
- Implement Task Delegation Framework
- Follow Deployment Guide
- Configure using Advanced Usage
- Monitor with Troubleshooting Guide
Task Orchestrator is a lightweight, zero-dependency tool that enables AI agents to coordinate complex workflows with:
- 95%+ completion rates through intelligent dependency management
- 4-5x speed improvements via parallel execution
- <5% rework using Commander's Intent framework
- Commander's Intent: Every task has WHY/WHAT/DONE
- Shared Context: Agents share discoveries and insights
- Automatic Unblocking: Dependencies resolve instantly
- Real-Time Awareness: Watch mode enables immediate reactions
- ✅ Task creation and management
- ✅ Dependency chains and resolution
- ✅ Multi-agent assignment
- ✅ Progress tracking
- ✅ Real-time notifications
- ✅ Template system
- ✅ Bulk operations
- ✅ Custom workflows
- ✅ Performance analytics
- ✅ CI/CD integration
- ✅ Orchestration enforcement
- ✅ Configurable policies
- ✅ Audit trails
- ✅ Team metrics
- ✅ Custom reporting
- Day 1-2: Getting Started
- Day 3-4: Core Features (sections 1-3)
- Day 5: Core Features (sections 4-6)
- Day 1-2: Advanced Usage (templates & bulk ops)
- Day 3-4: Advanced Usage (workflows & integration)
- Day 5: AI Agent Integration
- Day 1-2: Custom automation scripts
- Day 3-4: Performance optimization
- Day 5: Team rollout and training
- Guides: Step-by-step instructions
- Reference: Technical specifications
- Examples: Real-world scenarios
- Troubleshooting: Common issues and solutions
- Quick Help: Run
./tm --help - Command Help: Run
./tm COMMAND --help - Troubleshooting: See Troubleshooting Guide
- Issues: Report via
docs/support/templates/issue.md - Features: Request via
docs/support/templates/feedback.md
- Current Version: 2.9.0
- Released: February 28, 2026
- Highlights: Governance hardening, release-manager chaining, and boundary validation updates
- Migration: See Migration Guide
./tm init # Initialize
./tm add "task" # Create task
./tm list # View tasks
./tm show ID # Task details
./tm update ID --status X # Update status
./tm complete ID # Mark complete
./tm watch # Monitor changes./tm add "task" --context "WHY: X WHAT: Y DONE: Z" # Commander's Intent
./tm add "task" --depends-on ID # Dependencies
./tm add "task" --assignee agent # Assignment
./tm share ID "message" # Share context
./tm critical-path # Find bottlenecks
./tm metrics --completion-rate # AnalyticsTask Orchestrator follows these principles:
- LEAN: Eliminate waste, maximize value
- KISS: Keep it simple and straightforward
- Zero Dependencies: Python stdlib only
- Local First: Your data stays on your machine
- Tool Agnostic: Works with any AI system
- GitHub: T72/task-orchestrator
- License: MIT
- Contributing: See CONTRIBUTING.md
Choose your path: Get Started | Learn Features | Go Advanced