Brainrot
Provides persistent memory and context management for AI coding assistants, eliminating repetitive explanations and lost information.
About
Brainrot is a Model Context Protocol (MCP) server designed to combat context loss in AI coding sessions. It provides a persistent memory layer for your AI assistant, allowing you to store and retrieve project decisions, architectural patterns, and TODOs seamlessly across different sessions and MCP-compatible AI tools like Claude Desktop. This eliminates the frustration of repeatedly explaining project details or losing track of important tasks, ensuring your AI assistant always has the necessary context to be highly productive.
Key Features
- Priority levels (low/medium/high) for organizing tasks and technical debt.
- Robust tag support for reliable categorization and filtering.
- Auto-summarization of long content for quick reference.
- Smart instructions providing contextual guidance for retrieved information.
- Vector search for semantic retrieval of related contexts.
- 1 GitHub stars
Use Cases
- Maintaining persistent project context across multiple AI coding sessions.
- Storing and retrieving architecture decisions, coding patterns, and team standards.
- Managing and prioritizing project TODOs and tracking solved performance issues.
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