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Give AI assistants persistent personal memory across MCP clients.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "WorkingMemory" MCP server from askskill: Run: claude mcp add --transport http 'ai-workingmemory-memory' 'https://app.workingmemory.ai/mcp'
Save my writing preferences to WorkingMemory: use Simplified Chinese by default, lead with the conclusion, then list key points, and keep the tone professional and concise.
The tool saves a personal preference memory for future conversations.
Search WorkingMemory for my previously saved preferences about organizing meeting notes, and summarize them into three working rules.
It returns relevant memories and distills them into actionable rules.
Recall my saved project background and to-dos from WorkingMemory, then help me plan this week’s tasks.
It uses stored memories as context and produces a continuous task plan.
Users who work with AI regularly can save language, format, or style preferences to avoid repeating them. This helps keep responses consistent across different MCP clients.
When work is spread across multiple sessions or clients, saved memories can carry context forward. This is useful for project background, to-do items, or personal work habits.
Users can store important information in personal memory and search it when needed. This makes it faster to recover past notes without manually digging through old chats.
It is an MCP tool that gives AI assistants persistent personal memory. Based on the description, it supports saving, searching, and recalling memories across MCP clients.
The provided information clearly mentions three capabilities: save memories, search memories, and recall memories. For any advanced features beyond that, see the source repository.
The provided material does not include installation steps, runtime requirements, or API key setup details. See the source repository for those specifics.
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