add-multimodal-lifelong-memory-to-mcp-and-python-agents-with-sim

# Add multimodal lifelong memory to MCP and Python agents with SimpleMem Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations. ## Prerequisites SimpleMem Python package or MCP server, MCP-capable client or Python agent runtime, source memory data, and configured model/embedding dependencies for the selected backend ## Installation Use the upstream install or setup path that matches your environment: - git clone https://github.com/aiming-lab/SimpleMem.git - pip install -r requirements.txt - pip install -e . # default: text + multimodal + evolver - pip install -e ".[server]" # + MCP / HTTP server (mcp, fastapi, ...) Requirements and caveats from upstream: - <p><b>Works with any AI platform that supports MCP (text memory) or Python integration (full multimodal)</b></p> - <a href="https://pypi.org/project/simplemem/"><img src="https://img.shields.io/pypi/pyversions/simplemem?style=flat&label=python&labelColor=555&color=3775A9&logo=python&logoColor=white" alt="Python"></a> - python Basic usage or getting-started notes: - [🚀 Quick Start](#-quick-start) • [🌟 Overview](#-overview) • [📦 Installation](#-installation) • [🔌 MCP Server](#-mcp-server-text-memory) • [📊 Reproduce](#-reproduce-paper-results) • [📝 Citation](#-citation) - **[01/20/2026]** 📦 **SimpleMem is now available on PyPI!** Install via pip install simplemem. [View Package Usage Guide →](docs/PACKAGE_USAGE.md) - Source: https://github...