bobbyrgoldsmith/quarterback
by Various
Strategic task prioritization and agent orchestration for multi-project operators
MCP
bobbyrgoldsmith/quarterback
Added 1 June 2026
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
Pairs with
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