Memory
This "Memory" skill allows you to store and retrieve past interactions, enhancing context and enabling more natural, persistent conversations.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add memory npx -- -y @trustedskills/memory
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@trustedskills/memory"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides AI agents with a short-term memory. It allows them to recall and reference information from previous interactions within a single conversation or task, improving context awareness and response quality. The agent can store and retrieve facts, instructions, or observations to maintain coherence and avoid repetitive questioning.
When to use it
- Complex tasks: When an AI needs to remember details across multiple steps of a process (e.g., planning a trip with several destinations).
- Conversational agents: To enable more natural and contextually relevant conversations, avoiding the need for users to repeat information.
- Data extraction: To retain extracted data points during iterative refinement or validation processes.
- Following instructions: When an agent needs to remember specific constraints or preferences provided earlier in a conversation.
Key capabilities
- Short-term memory storage
- Information retrieval from previous interactions
- Contextual awareness enhancement
- Improved response coherence
Example prompts
- "Remember that I prefer Italian food."
- "What was the first city we discussed for my trip?"
- "Can you summarize what we've decided so far about the project?"
Tips & gotchas
The memory is short-term; information will be lost when the conversation ends. Be mindful of the amount of data stored, as excessive storage can impact performance.
Tags
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