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    An enhanced sequential thinking tool optimized for programming tasks that helps break down complex coding problems into structured, self-auditing thought steps with branching and revision capabilities.
    1
    83
    258
    MIT
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    Wraps the Claude Agent SDK as MCP servers, letting you spawn multiple specialized Claude Code agents — each with its own model, tools, system prompt, and personality — from any MCP client.
    5
    112
    19
    ISC
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    quality
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    A coding agent toolkit that transforms LLMs into coding assistants capable of working directly on your codebase with semantic code retrieval and editing tools, providing IDE-like capabilities without requiring API subscriptions.
    33
    1
    MIT
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    Production-grade, autonomous Model Context Protocol (MCP) server that elevates AI models from stateless code generators into persistent, self-verifying software engineers.
    21
    1
    MIT
  • 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
    9
    -
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    maintenance
    A domain-agnostic MCP server for autonomous experimentation, generalizing Karpathy's autoresearch pattern into a reusable server that any AI agent can drive, pointed at any domain defined by a JSON configuration.
    3
    Apache 2.0
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    maintenance
    Enables AI agents to search for and fetch pre-vetted, production-safe 3D and motion components (React Three Fiber & GSAP) for injection into Next.js apps via AST-safe edits.
    114
    MIT
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    An AI-agent-first framework for building MCP servers that deliver interactive React widgets directly within AI chat interfaces like ChatGPT and Claude. It includes automated visual testing and a zero-config local development environment designed for autonomous agent workflows.
    MIT
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    Not graded
    quality
    A
    maintenance
    AI task planner for coding assistants that breaks goals into ordered steps, verifies each step with isolated test runs, learns from failures, and saves successful strategies as reusable recipes.
    1
    MIT
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    maintenance
    Multi-Agent Development Agentic Network that enables AI-driven software development through specialized agents, interactive wizards, and structured debate, with MCP integration for IDE tools like workflow execution, impact analysis, and ecosystem search.
    49
    MIT
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    maintenance
    Enables ChatGPT to supervise and control local Codex runtime sessions through a secure MCP interface, managing threads, turns, approvals, events, and recovery without exposing direct file, shell, Git, SSH, or model loop access.
    MIT