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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.

Skill by agentskillexchange

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Use cases: agent-building

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What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 2, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/add-multimodal-lifelong-memory-to-mcp-and-python-agents-with-simplemem

What's inside

Skill name
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.
License
MIT
Instructions
37 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • name: longer than 64 characters
  • name: only lowercase letters, digits and single hyphens allowed
  • name: "Add multimodal lifelong memory to MCP and Python agents with SimpleMem" does not match folder "add-multimodal-lifelong-memory-to-mcp-and-python-agents-with-simplemem"

Files (1)

  • SKILL.md

SKILL.md (first lines)

# 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/)

From agentskillexchange/skills, MIT.

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Last commit (this folder)
Jul 10, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

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License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Add multimodal lifelong memory to MCP and Python agents with SimpleMem skill. Agent Mart. https://agentmart.dev/skills/agentskillexchange-add-multimodal-lifelong-memory-to-mcp-and-python-agents-with (last updated 2026-10-24)