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    Enables autonomous learning from interactions through pattern recognition and machine learning techniques. Continuously improves performance by analyzing tool usage, providing predictive suggestions, and sharing knowledge across MCP servers.
    8
    2
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    A
    quality
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    Self-learning macOS automation MCP server that remembers successful patterns and avoids repeated failures, enabling AI agents to execute multi-step workflows via reusable recipes.
    11
    17
    MIT
  • A
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    An MCP server that decides whether each step of an agent requires cheap intuition (System 1) or expensive deliberation (System 2) by learning from experience rather than hand-written rules.
    9
    1
    MIT
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    A metacognitive pattern interrupt system that helps prevent AI assistants from overcomplicated reasoning paths by providing external validation, simplification guidance, and learning mechanisms.
    2
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    503
    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
    22
  • A
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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
    106
    10
    MIT
  • F
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    Enables AI to analyze and transform data using fusion algorithms with statistical, machine learning, or hybrid methods. Provides seamless data format conversion and enhanced analytical capabilities through the Model Context Protocol.
    2
  • A
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    quality
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    Enables AI assistants to place phone calls for reservations, appointments, confirmations, and inquiries through a self-hosted MCP server, with language support and learning capabilities.
    101
    1
    MIT
  • A
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    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
  • A
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    D
    maintenance
    Provides comprehensive codebase analysis including project structure evaluation, cross-language duplicate detection, microservices validation, and configuration optimization with AI-powered pattern learning that generates actionable improvement reports.
    MIT
  • A
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    Not graded
    quality
    F
    maintenance
    A Model Context Protocol server that enables AI assistants to access and manage email through IMAP, supporting browsing, searching, reading, and organizing emails while learning user preferences over time.
    59
    MIT