Showing 7 open source projects for "rules"

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  • 1
    Karpathy Skills

    Karpathy Skills

    A single CLAUDE.md file to improve Claude Code behavior

    Karpathy Skills is a compact guidance project built around a single CLAUDE.md file for improving AI coding agent behavior. It translates observations about common LLM coding failures into practical working rules for Claude Code and compatible workflows. The project focuses on reducing wrong assumptions, hidden confusion, overengineered solutions, and unnecessary edits outside the requested scope. Its principles encourage the agent to think before coding, prefer simple implementations, make surgical changes, and define verifiable success criteria. ...
    Downloads: 2 This Week
    Last Update:
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  • 2
    ECC

    ECC

    The agent harness performance optimization system

    ECC is an agent harness performance optimization system for AI coding tools such as Claude Code, Codex, Opencode, and similar environments. It packages rules, skills, instincts, memory behavior, security practices, and research-first development patterns into a structured framework. The project is designed to make coding agents more reliable by improving how they plan, inspect context, make changes, review work, and avoid unnecessary mistakes. ECC includes installation guidance and language-specific rule folders for applying the system across different development setups. ...
    Downloads: 0 This Week
    Last Update:
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  • 3
    AI Engineer Coach

    AI Engineer Coach

    Better agentic engineering

    AI Engineering Coach is a Microsoft VS Code extension for analyzing AI coding assistant usage across local session logs. It is designed to help developers improve how they work with tools such as VS Code, Claude, Codex, OpenCode, GitHub Copilot for Xcode, and Copilot CLI. The extension reads local logs and turns them into dashboards, practice scores, trends, anti-pattern detection, and actionable feedback. It focuses on agentic engineering habits such as prompt quality, context management,...
    Downloads: 6 This Week
    Last Update:
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  • 4
    PentestAgent

    PentestAgent

    AI agent framework for black-box security testing

    ...It brings a modular and automated approach to penetration testing by orchestrating a suite of tools and scripts that can emulate common exploitation techniques, reconnaissance workflows, and post-exploitation activities across targets. Users configure rules, policies, and environments, and the agent continuously probes for weaknesses, prioritizes findings, and generates contextual reports that help both technical and non-technical stakeholders understand risk exposure. Because it supports a range of plug-ins and external security tools, pentestagent can be adapted for web applications, network infrastructure, API surfaces, and even cloud environments, making it flexible for diverse security programs.
    Downloads: 3 This Week
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  • 5
    CowAgent

    CowAgent

    AI assistant based on large models that can actively think and plan

    ...It supports multi-turn conversations with per-user context tracking, allowing more natural and persistent interactions across private and group chats. Developers can extend functionality through a plugin architecture and customizable rules, making it suitable for both personal assistants and enterprise automation scenarios.
    Downloads: 2 This Week
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  • 6
    Harmonist

    Harmonist

    Portable AI agent orchestration with mechanical protocol enforcement

    Harmonist is a portable multi-agent orchestration framework for AI coding assistants such as Cursor, Claude Code, Copilot, Windsurf, and Aider. It is designed to make agent workflows more reliable by enforcing protocol rules mechanically instead of trusting prompts alone. The framework includes a catalog of specialized agents, validated memory behavior, supply-chain checks, and hooks that gate code-changing turns. If required reviewers do not run, memory is not updated, or shipped files fail integrity checks, Harmonist can block the workflow from completing. ...
    Downloads: 0 This Week
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  • 7
    Semantic Router

    Semantic Router

    Superfast AI decision making and processing of multi-modal data

    ...Rather than waiting for slow, unreliable LLM generations to make tool-use or safety decisions, we use the magic of semantic vector space — routing our requests using semantic meaning. Combining LLMs with deterministic rules means we can be confident that our AI systems behave as intended. Cramming agent tools into the limited context window is expensive, slow, and fundamentally limited. Semantic Router enables lightning-fast and cheap tool usage that can scale to many thousands of tools. LLMs are slow, yet we use them for every decision in agentic use-cases. ...
    Downloads: 0 This Week
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