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.
Install
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/add-multimodal-lifelong-memory-to-mcp-and-python-agents-with-simplemem
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install agentskillexchange-skills@llmmart
git clone https://github.com/agentskillexchange/skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole agentskillexchange/skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
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:
Works with any AI platform that supports MCP (text memory) or Python integration (full multimodal)
- python
Basic usage or getting-started notes:
🚀 Quick Start • 🌟 Overview • 📦 Installation • 🔌 MCP Server • 📊 Reproduce • 📝 Citation
[01/20/2026] 📦 SimpleMem is now available on PyPI! Install via pip install simplemem. View Package Usage Guide →
Extracted from upstream docs: https://raw.githubusercontent.com/aiming-lab/SimpleMem/HEAD/README.md
Documentation
Source
Files (skills)
-
SKILL.md 2.4 KB
--- name: "Add multimodal lifelong memory to MCP and Python agents with SimpleMem" slug: "add-multimodal-lifelong-memory-to-mcp-and-python-agents-with-simplemem" description: "Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations." github_stars: 3522 verification: "security_reviewed" source: "https://github.com/aiming-lab/SimpleMem" author: "Aiming Lab" publisher_type: "organization" category: "Integrations & Connectors" framework: "MCP" tool_ecosystem: github_repo: "aiming-lab/SimpleMem" github_stars: 3522 --- # 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.com/aiming-lab/SimpleMem - Extracted from upstream docs: https://raw.githubusercontent.com/aiming-lab/SimpleMem/HEAD/README.md ## Documentation - https://github.com/aiming-lab/SimpleMem ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/add-multimodal-lifelong-memory-to-mcp-and-python-agents-with-simplemem/)
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