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Give AI coding agents persistent memory, loop control, and reminder management.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Cortex MCP" yet — see the docs or source repo.
Use Cortex MCP to store the current project's tech stack, coding conventions, todo list, and known issues, then read that memory before generating code in future turns so outputs stay consistent.
The AI creates and reuses project memory, automatically following prior constraints and context in later coding tasks.
Using Cortex MCP, set up a repair loop that runs for up to 5 rounds: inspect failing tests, change the code, run tests, and log results each round; stop and summarize if there is no improvement for two consecutive rounds.
The AI advances through the defined loop, logs each round, and automatically stops with a summary when stop conditions are met.
Use Cortex MCP to create reminders for this refactoring task: finish database migration today, check performance regressions tomorrow, and review unresolved risks on Friday, reminding me to inspect the last execution log at each step.
The AI produces trackable reminders and milestone plans, using past execution records to guide follow-up work.
Give AI coding agents persistent memory and codebase context retrieval.
Give AI agents persistent memory, recall, and context management across sessions
Persistent memory, code intelligence, and quality enforcement through one MCP endpoint.
Give AI coding assistants local long-term memory with searchable lessons and patterns.
Give AI assistants persistent memory, adaptive recall, and graph-based knowledge retrieval.
Helps AI coding agents analyze code, retain semantic memory, and enforce quality.