Agent Memory Systems
Stores, retrieves, and organizes complex information across extended conversations for improved context and recall.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add agent-memory-systems npx -- -y @trustedskills/agent-memory-systems
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"agent-memory-systems": {
"command": "npx",
"args": [
"-y",
"@trustedskills/agent-memory-systems"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The agent-memory-systems skill enables AI agents to retain and recall information across interactions, improving context awareness and continuity. It supports both short-term and long-term memory mechanisms, allowing agents to reference past conversations or data when needed.
When to use it
- When building an AI assistant that needs to remember user preferences over multiple sessions.
- During complex problem-solving tasks where historical context is essential for accurate responses.
- In multi-turn dialogues where maintaining conversation state improves the user experience.
- For applications requiring personalized interactions based on prior user behavior or input.
Key capabilities
- Short-term memory for tracking recent interactions
- Long-term memory for storing persistent data
- Context-aware recall during conversations
- Integration with external storage systems for scalability
Example prompts
- "Remember that the user prefers dark mode."
- "What was the last topic we discussed?"
- "Retrieve my previous request from the conversation history."
Tips & gotchas
- Ensure memory persistence is configured correctly if using long-term storage.
- Be mindful of privacy and data security when storing sensitive user information in memory systems.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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