Agent Memory Mcp
Provides MCP tools guidance and assistance for orchestrating AI agents and multi-step workflows.
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-mcp npx -- -y @trustedskills/agent-memory-mcp
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"agent-memory-mcp": {
"command": "npx",
"args": [
"-y",
"@trustedskills/agent-memory-mcp"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The agent-memory-mcp skill enables AI agents to retain and recall information across multiple interactions, enhancing continuity and context awareness. It supports persistent memory storage and retrieval, allowing agents to maintain stateful conversations and reference past data efficiently.
When to use it
- When building an AI assistant that needs to remember user preferences or previous conversation history.
- During multi-step tasks where the agent must refer back to earlier inputs or decisions.
- In scenarios requiring long-term context retention, such as customer service or personal productivity tools.
Key capabilities
- Persistent memory storage across sessions
- Context-aware recall of past interactions
- Efficient retrieval of stored information
- Integration with AI agents for stateful processing
Example prompts
- "Remember that I mentioned I like coffee."
- "What did we talk about last time?"
- "Can you refer back to the previous task I assigned?"
Tips & gotchas
- Ensure proper configuration to avoid memory overload or data corruption.
- Be mindful of privacy and security when storing sensitive user information.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.