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Provide high-performance, privacy-focused long-term memory for AI applications.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "cortex" yet — see the docs or source repo.
Use cortex to design a long-term memory system for my AI assistant, covering user preference storage, conversation history retrieval, privacy isolation, deletion mechanisms, and integration steps.
A memory architecture plan with memory types, retrieval flow, privacy controls, and implementation steps.
Using cortex, create a security strategy for AI memory data, including sensitive data classification, access control, encryption guidance, retention periods, and audit requirements.
A security and compliance checklist tailored for an AI memory system.
Use cortex to analyze memory retrieval bottlenecks in my AI application and suggest improvements for recall quality, response speed, and storage efficiency.
A performance diagnosis with concrete recommendations to improve the memory system.
Give AI agents persistent memory, semantic recall, and cross-session knowledge retention.
Give AI agents persistent, auditable memory with automatic pruning via MCP.
Capture, retrieve, and manage personal thoughts through voice or text.
Give AI coding agents persistent memory, loop control, and reminder management.
Guide coding agents through structured, evidence-based software engineering with persistent state.
Persistent memory, code intelligence, and quality enforcement through one MCP endpoint.