Add multimodal lifelong memory to MCP and Python agents with SimpleMem

SkillDocs & knowledge

Your AI gains a lifelong memory it can draw on over time. This skill adds SimpleMem, which stores, compresses, indexes, and retrieves text or multimodal memories for your AI. It works through Python integrations.

Available today. Use it from your connected AI after setup.

After adding the skill, connect SimpleMem through a Python integration and start saving memories your AI can recall later. Setup details are in the skill's repository.

Then ask your AI: use the Add multimodal lifelong memory to MCP and Python agents with SimpleMem skill

What your AI can do with it

  • Store text or multimodal memories for later
  • Retrieve saved memories when they are needed
  • Recall information saved long ago
  • Compress memories so they take up less space
  • Index memories so they are easy to search
  • Connect through Python integrations

What this skill tells your AI

The instructions your AI receives, as published by agentskillexchange/skills in skills/add-multimodal-lifelong-memory-to-mcp-and-python-agents-with-simplemem/SKILL.md and read by ahel’s review.

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:

Requirements and caveats from upstream:

  • python

Basic usage or getting-started notes:

Documentation

Source

Signals

GitHub stars
38
Forks
53
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
add-multimodal-lifelong-memory-to-mcp-and-python-age-1xry8d2
Source
github.com/agentskillexchange/skills