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Give AI assistants persistent memory, semantic search, and layered context management.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Memory" yet — see the docs or source repo.
Save the following project background into project-layer memory: We are building an AI plugin for ecommerce customer support using Next.js, Node.js, and PostgreSQL. Our current goal is to finish an FAQ auto-reply MVP within two weeks. Then summarize the key information saved.
The tool stores the project details in persistent memory and returns a clear summary of the saved key points.
Search memory for content related to "user login errors, JWT expiration, and refresh tokens," prioritize records most relevant to the current project, and turn them into a troubleshooting checklist.
The tool returns relevant past memories and organizes them into actionable troubleshooting steps.
Record my preferences in personality-layer memory: give the conclusion first, then steps; use TypeScript by default for code examples; avoid overly long explanations. After saving, confirm in one sentence how you will respond to me.
The tool saves the user's communication and output preferences and returns a brief confirmation.
Give AI assistants persistent memory, entity storage, and semantic search across sessions.
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.
Give AI agents persistent memory and semantic retrieval across conversations.
Help MCP clients remember preferences and retrieve key context across chats.