git:20260710.2925510 to git:20260710.62afd0f
19 added, 15 removed. Audit B to A.
---
- title: "Add multimodal lifelong memory to MCP and Python agents with SimpleMem"
+ 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"
+ 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
- Choose whichever fits your setup:
+ 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, ...)
- 1. Copy this skill folder into your local skills directory.
- 2. Clone the repo and symlink or copy the skill into your agent workspace.
- 3. Add the repo as a git submodule if you manage shared skills centrally.
- 4. Install it through your internal provisioning or packaging workflow.
- 5. Download the folder directly from GitHub and place it in your skills collection.
+ 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
- Install command or upstream instructions:
+ 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)
- ```
- Install simplemem from PyPI for Python workflows or configure the documented SimpleMem MCP server for text-memory workflows, add scoped dialogue or multimodal memories, finalize or index them, then query relevant memory before agent responses.
- ```
+ - 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/)