SimpleMem

by aiming-lab · Python · ★ 3,266

SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal

#agent#audio#compression#knowledge-graph#lifelong-memory#llm#mcp#memory#multimodal#python#rag#retrieval#semantic-search#simplemem#video#vision

Install

pip install git+https://github.com/aiming-lab/SimpleMem.git

Claude Desktop config

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "simplemem": {
      "command": "uvx",
      "args": [
        "git+https://github.com/aiming-lab/SimpleMem.git"
      ]
    }
  }
}

From the README

Store, compress, and retrieve long-term memories with semantic lossless compression. Now with multimodal support for text, image, audio & video. Works across Claude, Cursor, LM Studio, and more. Works with any AI platform that supports MCP or Python integration Claude Desktop Cursor LM Studio Cherry Studio PyPI Package + Any MCPClient [🇨🇳 中文](./docs/i18n/README.zh-CN.md) • [🇯🇵 日本語](./docs/i18n/README.ja.md) • [🇰🇷 한국어](./docs/i18n/README.ko.md) • [🇪🇸 Espa…

Read full README on GitHub →

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