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Give AI assistants persistent knowledge graph memory across sessions and workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Simple Memory MCP Server" yet — see the docs or source repo.
Use Simple Memory MCP Server to store the following long-term memory in entity-relationship form: User Xiaolin prefers concise answers, primarily uses Chinese, is working on an 'internal knowledge base' project, and future conversations should continue with that context.
Persisted entities, relationships, and project context that can be reused in later sessions.
Write this project information into the memory server: project name 'Customer Churn Analysis', owner Wang Min, data sources include CRM and the order system, and the current risk is inconsistent data fields. Create the entities and their relationships.
A queryable project knowledge graph linking the project, people, data sources, and risks.
Read historical memory related to the 'internal knowledge base' project from Simple Memory MCP Server and summarize the goals, key people, to-dos, and known risks as context for this session.
A context summary built from persisted memory so the AI can seamlessly continue prior work.
Persistent knowledge-graph memory for MCP with semantic search and version tracking.
Provide shared cross-session memory storage, retrieval, and governance for MCP AI tools.
Provide persistent graph memory, semantic search, and traversal for AI agents.
Give AI assistants persistent memory, entity storage, and semantic search across sessions.
Give AI knowledge-graph memory with cloud persistence and semantic search.
Provide local knowledge graph memory for AI assistants with linked context retrieval.