关于
Fasttime MCP is a high-performance optimization layer designed to transition AI agent workflows from 'slowtime' deliberation to 'fasttime' execution. By utilizing topological cybernetics, Ihara zeta non-backtracking walks, and pre-computed capability matrices, it enables O(1) geodesic routing through complex skill graphs. This skill is essential for developers building advanced multi-agent systems where parallel capability composition and systemic velocity are critical for real-time performance.
