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Provide private local persistent memory for AI tools to store and recall context.
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 save these long-term preferences and prioritize them in future conversations: the user prefers concise answers, Chinese by default, and commented code outputs.
The tool stores preferences in local memory and can automatically reuse them for more consistent future responses.
Save this project context to Cortex: we are building a SaaS dashboard, using React on the frontend and Node.js on the backend, with current priorities on login flow optimization and team permission management.
The tool preserves key project details so the AI can restore context in new sessions without repeated explanations.
Retrieve historical memories related to "permission management design decisions" from Cortex and summarize the recorded constraints, approaches, and open tasks.
It returns relevant local memories and organizes them into a readable summary to help continue the work.
Capture, retrieve, and manage personal thoughts through voice or text.
Persistent memory, code intelligence, and quality enforcement through one MCP endpoint.
Give AI coding agents persistent memory, loop control, and reminder management.
Capture, search, and synthesize knowledge with ontology reasoning and hybrid retrieval.
Generate MCP tools from OpenAPI specs and call backend APIs conversationally.
Let AI agents store, search, and connect typed memories through MCP.