Showing 5 open source projects for "learning classifier system"

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  • 1
    SocratiCode

    SocratiCode

    Enterprise-grade (40m+ LOC) codebase intelligence

    SocratiCode is an AI-assisted learning tool that applies the Socratic method to programming education, guiding users through problem-solving rather than directly providing answers. It encourages critical thinking by asking structured questions that lead developers toward discovering solutions on their own. The system is designed to improve understanding of programming concepts through iterative reasoning and dialogue.
    Downloads: 0 This Week
    Last Update:
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  • 2
    AI Website Cloner Template

    AI Website Cloner Template

    Clone any website with one command using AI coding agents

    ...The template is designed for flexibility, allowing developers to customize the generated output or adapt it for different use cases such as migrations or learning. It also supports multiple AI coding environments, making it compatible with a wide range of development tools.
    Downloads: 18 This Week
    Last Update:
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  • 3
    Claude-Mem

    Claude-Mem

    Claude Code plugin that automatically captures everything Claude does

    ...Claude-Mem runs automatically in the background with no manual workflow changes required. Designed for serious developers, it transforms Claude Code into a continuously learning, project-aware coding assistant.
    Downloads: 3 This Week
    Last Update:
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  • 4
    Compound Engineering

    Compound Engineering

    Official Compound Engineering plugin for Claude Code, Codex, Cursor

    The Compound Engineering plugin project is an AI-driven workflow system designed to improve software development by turning each unit of work into a reusable and compounding asset. It provides a structured set of commands and agents that guide developers through stages such as brainstorming, planning, execution, review, and knowledge capture. The core philosophy is to reduce technical debt by emphasizing thorough planning and continuous learning, ensuring that each iteration improves future work rather than increasing complexity. ...
    Downloads: 2 This Week
    Last Update:
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  • 5
    Codex Autoresearch

    Codex Autoresearch

    A codex plugin for running optimization loops inside a codebase

    Codex Autoresearch is an autonomous software improvement framework that enables AI coding agents to iteratively enhance codebases without continuous human input. The system operates in a loop where the agent modifies code, evaluates results against measurable metrics, and either keeps or discards changes based on performance. It generalizes the concept of autoresearch beyond machine learning, allowing optimization of test coverage, latency, lint errors, and overall code quality. Developers define a goal and verification command, and the agent continuously runs experiments to reach the desired outcome. ...
    Downloads: 0 This Week
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