Memxus
@gpitrella
Memxus について
Multi-platform AI memory. One save, recall everywhere—Claude, ChatGPT, Cursor, VS Code, and more. Persistent memory across AI conversations and clients.
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"memxus": {
"url": "https://mcp.memxus.com/mcp",
"headers": {
"Authorization": "Bearer aimem_YOUR_KEY"
}
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is Memxus?
Memxus gives AI assistants persistent memory across conversations and clients. It is a hosted remote MCP server that allows users to save preferences, project context, and facts once and recall them from any MCP-compatible app via OAuth or API key.
How to use Memxus?
Sign in at https://dashboard.memxus.com/login, then connect via OAuth at https://www.memxus.com/install or add a Bearer token (aimem_*) in your MCP client configuration. The endpoint is https://mcp.memxus.com/mcp using Streamable HTTP transport.
Key features of Memxus
- Cross-client memory (Claude, ChatGPT, Cursor, VS Code)
- Project-context scoped collections (e.g.,
project:my-app) - Semantic recall via
recallandget_contexttools - Eight tools: remember, recall, get_context, list_memories, get_memory, list_collections, forget
- No local install, fully hosted
Use cases of Memxus
- Continue conversations where you left off when switching between AI clients
- Save project-level context (e.g., API base URLs) and recall automatically
「AI とエージェント」の他のコンテンツ
MCP Client for Ollama (ollmcp)
joniglHarness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved pre
Web Agent Protocol
OTA-Tech-AI🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support
Perplexity MCP Server
DaInfernalCoderA Model Context Protocol (MCP) server for research and documentation assistance using Perplexity AI. Won 1st @ Cline Hackathon
Sequential Thinking Multi-Agent System (MAS)
FradSerAn advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.
Shell and Coding agent for Claude and other mcp clients
rusiaamanShell and coding agent on mcp clients
コメント