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Give AI assistants persistent memory, entity storage, and semantic search across sessions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Memory Server" yet — see the docs or source repo.
Use MCP Memory Server to store this project context: We are building an AI assistant for e-commerce customer support, aiming to reduce manual ticket volume by 30%. Please prioritize this information in future conversations.
The AI stores the project goals and background in persistent memory and automatically recalls them in later sessions.
Store these entities in memory: client Acme Corp, product AlphaBot, owner Li Chen, deadline September 30, 2025. Then tell me how I can quickly retrieve this information next time.
The AI saves the key entities in structured memory and explains how to retrieve them by name, relationship, or semantic query.
Search past sessions for content related to "user churn analysis" and "recommendations to improve renewal rate," then summarize the three most important conclusions.
The AI performs semantic search over stored memory and returns a concise summary of the key conclusions.
Give Claude Code persistent memory and semantic context retrieval across sessions.
Persist Claude Code conversations and retrieve relevant context across sessions.
Manage personal memory, profiles, notes, and semantic search in one place.
Provide shared memory for Claude across apps with sessions, handoffs, and artifacts.
Give AI agents persistent memory and semantic retrieval across conversations.
Provide persistent local memory for development context, decisions, and past discussions.