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Give AI assistants persistent memory for preferences, context, and decisions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "simple-memory-mcp" yet — see the docs or source repo.
Save these preferences to memory: I prefer concise answers, Chinese by default, and Python code examples. Apply them automatically in future chats.
The tool stores the user's preferences in persistent memory for retrieval and automatic use in future sessions.
Store this project context: We are building a SaaS dashboard using Next.js, PostgreSQL, and Redis. The current goals are launching the MVP and improving access control.
The tool saves key project details so the stack, goals, and stage can be quickly retrieved by keyword later.
Retrieve past memories about the 'caching approach' and summarize why we chose Redis and rejected in-memory local caching.
The tool returns relevant memory entries and produces a brief summary of the reasoning behind the past technical decision.
Give MCP-compatible AI agents persistent local memory across sessions.
Give AI assistants persistent knowledge graph memory across sessions and workflows.
Give AI agents persistent project memory with searchable code and decisions.
Give AI assistants persistent memory with tagged retrieval, links, and source references.
Provide persistent local semantic memory for MCP tools to store and search notes.
Give AI agents persistent, searchable structured memory and bidirectional knowledge sync.