Showing 3 open source projects for "tasks subtasks"

View related business solutions
  • $300 Free Credits for Your Google Cloud Projects Icon
    $300 Free Credits for Your Google Cloud Projects

    Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

    Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
    Start Free Trial
  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
    Start Free
  • 1
    Maestro Framework

    Maestro Framework

    A framework for Claude Opus to intelligently orchestrate subagents

    Maestro Framework is a Python framework for orchestrating AI subagents across complex tasks. It breaks a user objective into smaller subtasks, assigns those subtasks to worker models, and refines the results into a final output. The original workflow used Claude Opus and Haiku, while newer variants support Claude 3.5 Sonnet, GPT models, Gemini, Cohere, Groq, LM Studio, and Ollama through different scripts and LiteLLM support.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    PAL MCP

    PAL MCP

    The power of Claude Code / GeminiCLI / CodexCLI

    ...It lets developers orchestrate interactions across multiple models (including Gemini, OpenAI, Grok, Azure, Ollama, OpenRouter, and custom/self-hosted models), preserving conversation context seamlessly as tasks evolve and substeps run across tools. By supporting conversation threading and context passing, pal-mcp-server helps maintain continuity during complex processes like code reviews, automated planning, implementation, and validation, allowing models to “debate” or weigh in on specific subtasks for better outcomes.
    Downloads: 8 This Week
    Last Update:
    See Project
  • 3
    Sidebrain is a programmer's memory aid, looking after a stack of tasks and subtasks, and a queue or pool of tasks that are not on the stack. It also keeps a collection of notes that you have made, associated with the tasks.
    Downloads: 1 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next