$ loading_
Provide shared cross-session memory storage, retrieval, and governance for MCP AI tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Universal Memory MCP Server" yet — see the docs or source repo.
Please save the following user preferences into shared memory: prefers concise answers, wants bilingual Chinese-English output by default, and prefers Python examples when discussing code. Then return a confirmation summary of the saved memory.
A confirmation summary of the stored preferences that future AI sessions can reuse.
Retrieve shared memories related to the "mobile app redesign project" and summarize target users, core requirements, confirmed constraints, and open issues in bullet points.
A concise project context summary that helps the AI continue earlier discussions quickly.
Analyze this conversation, extract facts, decisions, and user preferences worth keeping long term; filter out temporary information and sensitive content; then return results under "save" and "do not save" categories.
A governed memory extraction result showing what is safe to store long term and what should be excluded.
Give AI agents persistent memory and semantic retrieval across conversations.
Give AI coding tools persistent memory across sessions, devices, and workflows.
Share memory, preferences, and chat history across AI assistants.
Persistent knowledge-graph memory for MCP with semantic search and version tracking.
Give AI clients persistent long-term memory with search and organization.
Lightweight vector memory for AI agents to store, search, and delete memories.