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    MemOS (Memory Operating System) is a memory management operating system designed for AI applications. Its goal is: to enable your AI system to have long-term memory like a human, not only remembering what users have said but also actively invoking, updating, and scheduling these memories.
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    Apache 2.0
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    Connects to Memos note-taking service to read, write, search, filter, and manage memos, including creating comments and managing users.
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    Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.
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    MIT
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    A Model Context Protocol integration for the MemOS memory system, optimized for personal AI assistant scenarios with intelligent memory management and retrieval capabilities.
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    A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.
    MIT
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    MCP server providing CRUD operations for Memos, enabling users to create, list, get, update, and delete memos via natural language.
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    Enables AI assistants like Claude to interact with humans through intuitive GUI dialogs, supporting text input, choices, confirmations, and information displays.
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    MIT
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    Enables to interact with Memos note-taking service, allowing search, creation, retrieval, and updating of notes through natural language.
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    Enables AI assistants to interact with Memos instances, supporting multi-instance connections, note management, tags, attachments, and shortcuts.
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    MIT
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    A Python package that enables LLM models to interact with Memos server through the Model Context Protocol interface, allowing search, creation, retrieval, and management of memos.
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    MIT
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    An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.
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    Enables AI agents to interact with Memos instances for personal note-taking and knowledge management. Supports creating, searching, updating, and organizing memos with tags, dates, and visibility settings through natural language.
    MIT
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    MCP server for creating, listing, updating, deleting memos, and managing attachments via the Memos API.
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    MIT
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    Navigator for BPC Agentic Procurement, providing tools for submitting RFQs, checking status, requesting terms, and escalating to a human.
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    MCP server that enables AI assistants to interact with the MemOS API, providing memory search, feedback management, and knowledge base operations via MCP-compliant tools.
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    Apache 2.0