Cursor-Cortex
Equips AI assistants with structured external memory, eliminating context loss and enabling an experienced teammate role in software development.
About
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.
Key Features
- 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.
Use Cases
- 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.
