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Brainrot

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Provides persistent memory and context management for AI coding assistants, eliminating repetitive explanations and lost information.

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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

01Priority levels (low/medium/high) for organizing tasks and technical debt.
02Robust tag support for reliable categorization and filtering.
03Auto-summarization of long content for quick reference.
04Smart instructions providing contextual guidance for retrieved information.
05Vector search for semantic retrieval of related contexts.
061 GitHub stars

Use Cases

01Maintaining persistent project context across multiple AI coding sessions.
02Storing and retrieving architecture decisions, coding patterns, and team standards.
03Managing and prioritizing project TODOs and tracking solved performance issues.