Acme
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A Model Context Protocol (MCP) server designed for dumping codebase context into LLMs, making it easier for AI models to access relevant project information. Exemplifies MCP server usage.
A comprehensive memory management system MCP server for Cursor IDE, allowing AI assistants to remember, recall, and manage information across conversations—showcasing advanced MCP server design.
An MCP server that enhances AI agent reasoning by integrating the 'think-tools' as described by Anthropic, boosting AI context management via MCP.
An MCP server to share code context with LLMs, supporting clipboard and protocol-based interactions.
An MCP extension that provides AI agents with persistent contextual memory by creating a knowledge graph from project or documentation data, allowing for accurate context-aware responses and documentation retrieval.
Knowledge Graph Memory is an MCP server that organizes and retains contextual memory across sessions, helping developers track relationships between data entities and maintain continuity in complex projects.
An experimental MCP-integrated memory hub for LangChain, supporting ethical data pruning and auditable AI memory within the Model Context Protocol framework.
An MCP extension that stores user preferences, habits, and session-specific information, helping AI agents personalize interactions and maintain a technical decision trail.
A Model Context Protocol server focused on efficient data caching between language model interactions, optimizing token usage and reducing redundant calls.
An MCP server that uses Mem0 to efficiently manage coding preferences for AI agents. It enables storing, retrieving, and searching coding snippets and preferences with context, supporting enhanced memory and reasoning for agents.
A Model Context Protocol (MCP) server that transforms text into structured JSON data using templates with placeholders, directly supporting MCP server ecosystems.
A tool to share code context with LLMs via Model Context Protocol or clipboard, enhancing code understanding and collaboration.
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