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Give AI assistants persistent semantic memory with project-scoped natural language recall.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Ragionex Memory MCP" yet — see the docs or source repo.
Store this in the memory for the 'Mobile App Redesign' project: the target users are urban professionals aged 18-30, the main goal is to improve sign-up conversion, and the design style should be clean and bright. In future questions, prioritize answers based on this memory.
The tool saves the project context to persistent memory so later sessions can answer within that project context.
Help me recall what decisions we previously made in the 'Corporate Website Revamp' project about the navigation structure and the homepage headline. Summarize them in bullet points.
The tool retrieves relevant past information from project memory and returns a structured summary of prior decisions.
Compare the memories of the 'Recruitment Platform A' and 'Recruitment Platform B' projects, but do not mix their user personas, feature priorities, or release plans. List them separately.
The tool reads memory within each project scope and outputs a clearly separated comparison without cross-project contamination.
Give AI assistants persistent memory, semantic search, and team collaboration.
Give AI assistants a persistent, searchable memory layer and context management.
Give AI coding agents persistent semantic memory with embedding-based retrieval.
Give AI chatbots autonomous long-term memory with monitoring and consolidation.
Give AI assistants persistent memory with vector search, relationships, and access control.
Give MCP clients durable memory for recalling user and project context.