Task Orchestrator
Provides AI coding assistants with structured, persistent memory to eliminate context loss between sessions.
About
AI coding assistants often lose context between sessions, forcing developers to repeatedly explain project state and completed work. Task Orchestrator solves this by offering persistent AI memory through a Model Context Protocol (MCP) server, enabling tools like Claude, Cursor, and Windsurf to retain project understanding across sessions. It supports hierarchical organization of projects, features, and tasks, offers context-efficient operations, workflow automation with n8n, and robust task management, ensuring your AI always remembers what's happening.
Key Features
- Persistent Memory: AI remembers context across sessions, eliminating re-explanation.
- Hierarchical Organization: Organizes work into Projects, Features, and Tasks with dependencies.
- Workflow Automation: Includes 6 comprehensive workflow prompts and n8n integration.
- Template System: 9 built-in templates for consistent documentation and AI workflow instructions.
- Token Optimized: Achieves 70-95% token reduction for multi-task updates.
- 83 GitHub stars
Use Cases
- Context Persistence Across Sessions: AI retains project state, completed work, and next steps.
- Feature Breakdown and Tracking: Decomposes complex features into manageable tasks with dependencies.
- Multi-Agent Workflows: Enables multiple AI agents to work in parallel with built-in concurrency protection.
Sponsored