task-orchestrator

Active·★ 189·MIT·Updated 2026-05-23

★ Trending★ Workflow Automation★ RAG / Knowledge Base

A light touch MCP task orchestration server for AI agents. Persistent project tracking and context storage across sessions. Defines planning floors through composable templates. Coordinates multi-agent execution without prescribing how agents do their work.

Task Orchestrator is an AI coding assistant orchestration framework designed to prevent context pollution and token exhaustion. It enables AI to work on complex projects by implementing persistent memory, summary-based handoffs, and sub-agent isolation, achieving significant token reduction and instant session resumes.

#AI Orchestration#Context Management#Token Efficiency#AI Agents#Workflow Automation#Task Management#Persistent Memory#Dependency Management

Features

01Persistent Memory

02Token Efficiency

03Hierarchical WorkItems

04Note Schemas

05Role-Based Workflow

Compatibility

Docker

Container Runtime

Verified via docs

Claude Code

AI Client

Verified via docs

MCP Protocol

Protocol

Verified via docs

Kotlin

Language

Verified via docs

SQLite

Database

Verified via docs

Quick start

$ docker pull ghcr.io/jpicklyk/task-orchestrator:latest

Use cases

↳Managing long-running AI agent tasks.

↳Preventing AI context window exhaustion.

↳Building complex software projects with AI.

↳Coordinating AI sub-agents.

↳Ensuring AI remembers project state across sessions.

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Comments

C
Casey JacksonApr 16, 2026
Good for AI agents that need basic task management without heavyweight infrastructure.
Remy ChenMar 31, 2026
Persistent tracking means progress survives session restarts.
Q
Quinn MartinezMar 27, 2026
Light-touch design keeps the orchestration overhead low.
D
Dylan ThompsonMar 4, 2026
Light-touch MCP task orchestration with persistent project tracking.

task-orchestrator

Features

Compatibility

Quick start

Use cases

Alternatives

Related searches

Comments

task-orchestrator

Features

Compatibility

Quick start

Use cases

Alternatives

Related searches

Comments