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Let AI agents store, search, and connect typed memories through MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "NovaCortex MCP Server" yet — see the docs or source repo.
Use the NovaCortex MCP Server to create a long-term memory layer for this customer support AI: store user preferences, past issues, resolutions, and related product information as typed memories, and design relationships for retrieval by user, topic, and time.
A structured memory plan with memory types, relationship design, and retrieval methods.
Use the NovaCortex MCP Server to retrieve existing memories related to multimodal model evaluation, connect papers, experimental findings, datasets, and hypotheses to validate, and summarize the key gaps in the current knowledge graph.
Retrieved memories, a summary of their relationship network, and identified research gaps.
Use the NovaCortex MCP Server to save this project's meeting notes, requirement changes, owners, milestones, and risks as typed memories, connect them with relationships, and provide a retrieval strategy for future Q&A.
A project knowledge graph structure, relationship rules, and a retrieval plan for question answering.
Give AI coding agents persistent shared memory with a team knowledge graph.
Give AI agents persistent memory, searchable knowledge, and automatic consolidation.
Give AI agents persistent memory and semantic retrieval across conversations.
Provide persistent graph memory, semantic search, and traversal for AI agents.
Give AI agents semantic memory and web search for stronger retrieval and reasoning.
Build a project knowledge graph for code search, traversal, and Q&A.