MCP Task Orchestrator

Stop losing context. Start building faster.

An orchestration framework for AI coding assistants that solves context pollution and token exhaustion — enabling your AI to work on complex projects without running out of memory.

Why This Exists

AI agents exhaust their effective context windows on long-running tasks — conversation history, tool outputs, and code examples accumulate until the model loses focus and fails. Task Orchestrator implements industry-recommended patterns to prevent this: persistent external memory, summary-based phase handoffs, and sub-agent isolation with clean contexts. Work scales to 50+ tasks with up to 90% token reduction and zero time rebuilding context after session restarts.

Key Features

• ✅ Persistent Memory — AI remembers project state, completed work, and decisions across sessions
• ✅ Token Efficiency — Up to 90% reduction via just-in-time context loading and note-based handoffs
• ✅ Hierarchical WorkItems — Flexible depth hierarchy (up to 4 levels) with any nesting structure you need
• ✅ Note Schemas — Per-item documentation requirements that gate phase transitions; enforced by the server