Agent Openai Memory
Leverages OpenAI's models to store, retrieve, and utilize conversational context for enhanced agent reasoning.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add agent-openai-memory npx -- -y @trustedskills/agent-openai-memory
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"agent-openai-memory": {
"command": "npx",
"args": [
"-y",
"@trustedskills/agent-openai-memory"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides OpenAI memory capabilities to AI agents. It allows agents to persist and retrieve information from previous interactions, enabling more contextually aware and coherent conversations. This functionality enhances an agent's ability to remember details and build upon past exchanges.
When to use it
- Long-running conversations: When you need the agent to recall earlier parts of a lengthy discussion.
- Complex tasks with dependencies: For scenarios where the agent needs to track steps or information across multiple interactions (e.g., planning a trip).
- Personalized experiences: To allow an agent to remember user preferences and tailor responses accordingly.
- Knowledge base integration: To enable agents to recall facts from previous sessions, effectively creating a short-term memory of the interaction.
Key capabilities
- Persists conversation history.
- Retrieves relevant information from past interactions.
- Enhances contextual awareness for AI agents.
Example prompts
- "Summarize our discussion so far."
- "What were my preferences regarding [topic]?"
- "Continue where we left off in planning the project."
Tips & gotchas
The effectiveness of this skill depends on the quality and relevance of the information stored in memory. Consider setting limits on memory size to prevent performance degradation or excessive costs.
Tags
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| Gen Agent Trust Hub | Pass |
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