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Enables configurable multi-step reasoning with session state and real-time thought tracing.
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.
Using multi-level reasoning with depth 4, analyze how to reduce new-user churn in a mobile app. Output hypotheses, causes, validation methods, and priorities step by step, and keep the session state.
A structured layered analysis with each reasoning step and session context preserved for follow-up.
Based on the current session, continue evaluating the risks of this microservices architecture. First recap prior conclusions, then use depth 3 to add performance bottlenecks, fault-tolerance strategies, and monitoring recommendations.
An architecture review that builds on prior context, including past conclusions, incremental reasoning, and new technical recommendations.
Think through whether an enterprise permissions system should be prioritized, and show the reasoning trace in real time across four dimensions: business value, implementation cost, risk, and timeline.
A dimension-based reasoning output with an observable real-time trace of the thought process.
Build MCP servers with embedded reasoning for efficient complex task handling.
Track structured reasoning with confidence, branches, and revisions for complex problem solving.
Give AI coding agents persistent memory, loop control, and reminder management.
Build, debug, and manage software tasks with natural language across LLMs.
Give AI assistants persistent memory, adaptive recall, and graph-based knowledge retrieval.
Give AI agents persistent, auditable memory with automatic pruning via MCP.