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Store and search memories across OpenMemory and Cipher through one unified MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "unified-mcp" yet — see the docs or source repo.
Use unified-mcp's add_memories tool to save the following project background, meeting decisions, and action items for unified retrieval later.
The memories are written to both OpenMemory and Cipher, with a save result or status response.
Use unified-mcp's search_memory tool to find discussions and conclusions about the API rate-limiting plan from last week, then summarize the most relevant results.
Relevant memories are returned from the unified search and organized into a readable summary.
After each conversation, use unified-mcp to automatically save user preferences, recurring tasks, and key facts; retrieve relevant memories before the next session as context.
A continuously updated long-term memory layer is created, helping the assistant respond more accurately in future conversations.
Provide shared cross-session memory storage, retrieval, and governance for MCP AI tools.
Give AI agents persistent memory and semantic retrieval across conversations.
Manage a local AI memory vault with search, packing, and receipt verification.
Manage personal memory, profiles, notes, and semantic search in one place.
Give AI coding tools persistent memory across sessions, devices, and workflows.
Manage team memory, tasks, handoffs, and search in one MCP tool.