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    An MCP server that automates the full software development lifecycle through an AI-driven TDD state machine. It handles everything from task decomposition and test-driven development to integration testing and automated pull request creation.
    4
    -
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    license
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    quality
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    Streamlines development workflows through AI-assisted codebase analysis, comprehensive planning, task breakdown with dependencies, and automated implementation verification. Enables systematic approach to complex development tasks like framework migrations and feature implementation.
    5
    9 npm
    MIT
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    Enables programming agents to capture errors and conversation signals, reflect on root causes, consolidate reusable skills, and retrieve relevant context for future tasks, providing a self-learning memory loop.
    15
    MIT
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    Automatically analyzes and dispatches user tasks to appropriate handlers, supporting development task processing via Miyabi Agent and medical AI academic article generation. Provides intelligent task classification and routing for development, writing, and general tasks.
    4
    Apache 2.0
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    Enables AI-driven orchestration of GitHub development workflows including automated issue analysis, code generation, code review, and PR creation through multiple specialized agents. Integrates with GitHub Actions to automate the complete development process from issue to pull request.
    7
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  • F
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    Turns AI assistants into full-stack software engineers with 36 tools for cognitive reasoning, code validation, project scaffolding, and AI/IDE configuration generation across 130+ programming languages, databases, and frameworks.
    35
    15 npm
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    Agent-first programming language: agents produce JSON AST, the compiler validates, type-checks, effect-checks, verifies contracts via Z3/SMT, and compiles to WASM. 19 MCP tools for the full compile-and-execute loop.
    22
    87 npm
    13
    MIT
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    Enables MCP-compatible clients to delegate complex multi-step programming and research goals to coordinated teams of specialized subagents, with cross-session messaging, swarm and pipeline workflows, sandboxed workspace tools, persistent SQLite state, and a live dashboard.
    MIT
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    maintenance
    Provides symbolic reasoning capabilities by converting natural language logical problems into Answer Set Programming (ASP) format and solving them using the Clingo solver. Enables users to perform formal logical reasoning, verify logical arguments, and get step-by-step explanations for complex logical problems.
    5
    MIT
  • F
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    quality
    B
    maintenance
    Enables personal agents and users to evaluate purchase impulses by applying cooling-off friction timers and converting spending amounts into net work-hour wage equivalents. It returns deterministic, actionable decision output that helps delay or reject impulsive spending before it happens.
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