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bobbyrgoldsmith/quarterback

by Various

Strategic task prioritization and agent orchestration for multi-project operators

B

MCP

bobbyrgoldsmith/quarterback

Added 1 June 2026

#agent-orchestration #cli #mcp #mcp-server #model-context-protocol #prioritization #task-management

Overview

Quarterback is a Python library that prioritizes tasks and orchestrates agents across multiple projects. It uses a configurable strategy to decide which task to execute next and which agent should handle it.

Best for

Best for
Developers building custom multi-agent systems that need a simple task scheduler

Use cases

  • Automating multi-project task queues with dynamic prioritization
  • Coordinating multiple AI agents to work on interdependent tasks
  • Building a central dispatcher for project management workflows

Notes

Quarterback is a Python library that prioritizes tasks and orchestrates agents across multiple projects. It uses a configurable strategy to decide which task to execute next and which agent should handle it.

0 stars on GitHub. Last updated 2026-04-07. Licensed MIT.

Use cases

  • Automating multi-project task queues with dynamic prioritization
  • Coordinating multiple AI agents to work on interdependent tasks
  • Building a central dispatcher for project management workflows

Pros

  • Lightweight and focused on a single orchestration problem
  • Configurable prioritization strategies for different workflows
  • Open source with a permissive license

Cons

  • No community adoption or stars yet, unproven in production
  • Limited documentation and examples beyond the repository
  • Requires custom integration with existing agent frameworks

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Lightweight and focused on a single orchestration problem
  • Configurable prioritization strategies for different workflows
  • Open source with a permissive license

Cons

  • No community adoption or stars yet, unproven in production
  • Limited documentation and examples beyond the repository
  • Requires custom integration with existing agent frameworks
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