Este proyecto es un registro público y centro de integración para extensiones, servidores y reglas creadas por la comunidad, diseñadas para editores de código potenciados por IA. Sirve como un directorio centralizado para descubrir y distribuir plugins que expanden las capacidades principales de los editores de IA.
Las características principales de cursor/community-plugins son: Community Plugin Registries, Architectural Constraints, Tool Hubs, AI Coding Standards, External Tool Integrations, Extension Distribution, AI Coding Assistant Rules, Extension Distribution Systems.
Las alternativas de código abierto para cursor/community-plugins incluyen: enzed/vibe-coding — Vibe-coding is an agentic workflow manager and AI coding orchestrator designed to guide autonomous agents through… agiresearch/aios — AIOS is an LLM agent operating system and orchestration kernel designed to manage memory, resource scheduling, and… tanweai/pua — PUA is an agentic workflow orchestrator and behavioral governance tool designed to enhance the reliability and… sanjeed5/awesome-cursor-rules-mdc — This project is a command-line utility designed to automate the creation of standardized instruction sets for… patrickjs/awesome-cursorrules — This project is a curated library of configuration files designed to optimize the behavior of AI-assisted code editing… agentsmd/agents.md — Agents.md is a configuration framework designed to standardize how AI coding assistants interact with a repository. It…
Vibe-coding is an agentic workflow manager and AI coding orchestrator designed to guide autonomous agents through software development. It serves as a development framework that organizes the process of building software using large language models through structured planning, iterative validation, and a defined cycle of implementation. The project distinguishes itself through a focused context management system and project memory bank, which uses dedicated files to maintain consistent architectural context across sessions. It employs constraint-based guidance to enforce project-specific codi
PUA is an agentic workflow orchestrator and behavioral governance tool designed to enhance the reliability and autonomy of AI coding assistants. It functions as a prompting framework and extension that implements strict engineering standards and verification requirements to prevent hallucinations and premature task completion. The project distinguishes itself through high-agency enforcement mechanisms, including escalating prompt pressure and failure-driven recovery loops that automatically pivot problem-solving strategies after repeated errors. It utilizes a diagnosis-first workflow that man
AIOS is an LLM agent operating system and orchestration kernel designed to manage memory, resource scheduling, and tool execution for multiple autonomous AI agents. It serves as a comprehensive framework for developing and deploying agents, featuring a dedicated resource manager that coordinates model backends, GPU memory, and isolated kernel instances. The system distinguishes itself through a semantic memory engine that uses vector search and autonomous clustering for long-term knowledge management, and a semantic file system that allows users to control computer files and system operations
Agents.md is a configuration framework designed to standardize how AI coding assistants interact with a repository. It provides a structured format for defining project context, behavioral guidelines, and operational instructions, ensuring that AI tools maintain consistency and adhere to project-specific standards throughout the development process. The system distinguishes itself through a hierarchical configuration approach, allowing developers to define settings that inherit and override instructions across different subdirectories. By utilizing markdown-based files, it enables the injecti