RooCodeMicroManager  by adamwlarson

AI task orchestrator for cost-optimized code development

Created 5 months ago
398 stars

Top 72.6% on SourcePulse

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Project Summary

This project provides a framework for cost-effective AI-assisted software development by intelligently orchestrating specialized AI "modes" for different coding and project management tasks. It targets developers seeking to optimize AI model usage, reducing costs by delegating tasks to appropriately sized local, free, or paid models based on complexity.

How It Works

The core approach is task delegation and model optimization. A central "MicroManager" mode breaks down complex requests into subtasks, then assigns them to specialized modes (e.g., Architect, Intern, Senior, Designer, Researcher). Each specialized mode is pre-configured with a recommended model, prioritizing cost-efficiency by using less expensive models for simpler tasks and reserving powerful, costly models only for complex operations. This tiered model allocation aims for sustainable AI development practices.

Quick Start & Requirements

  • Copy custom_modes.json to your project's root directory and rename it to .roomodes.
  • May require restarting VSCode for modes to appear.
  • Specific model availability depends on user setup and access.

Highlighted Details

  • Tiered model allocation: Local/free models for simple tasks, paid models only when necessary.
  • Specialized modes: Architect, Intern, Junior, MidLevel, Senior, Designer, Researcher.
  • CodeShortRules prompt override for less capable models.
  • Orchestration via the MicroManager mode.

Maintenance & Community

  • Primarily maintained by adamwlarson.
  • No explicit community links (Discord/Slack) or roadmap provided in the README.

Licensing & Compatibility

  • License not specified in the README.
  • Compatibility for commercial use or closed-source linking is undetermined.

Limitations & Caveats

The README does not specify the project's license, leaving its commercial use and integration into closed-source projects unclear. The effectiveness of the model delegation relies heavily on the user's ability to configure and access the recommended AI models.

Health Check
Last Commit

5 months ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
0
Star History
8 stars in the last 30 days

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