Cursor-Cortex

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LLM-based AI assistants often struggle with memory loss, context switching, and lack of structured thinking, forcing developers to constantly re-explain project details. Cursor-Cortex solves this by providing a structured memory system that includes project context files, continuous development logs (branch notes), company-specific tacit knowledge, and systematic checklists. This transforms an AI assistant from a simple code generator into a capable, context-aware teammate who retains project history, understands institutional knowledge, and follows structured approaches, significantly boosting developer productivity.

Características Principales

• Enables creation and management of project checklists for systematic task tracking.
• Offers a centralized tacit knowledge base for company-specific solutions and patterns.
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• Includes advanced knowledge archaeology for cross-project search and narrative construction.
• Provides structured context files for project goals, architecture, and decisions.
• Maintains continuous branch notes for tracking development history and uncommitted work.

Casos de Uso

• Seamlessly continue development work by providing AI with full project context and history.
• Document and access company-specific best practices and solutions for future reference and team knowledge sharing.
• Generate intelligent and context-aware commit messages from ongoing development notes.