When should I use Slowtime instead of standard MCP?

Use Slowtime when performing complex, multi-step tasks where the agent needs to 'learn' the underlying structure of the operation for future use, rather than just returning a quick result.

What is the 'Slow Path' in Slowtime MCP?

The Slow Path is a deliberate execution delay that allows the AI to perform deep deliberation, ensuring logical coherence and enabling the accumulation of new, permanent capabilities.

What are the 'Capability Homes' like Span and Prof?

These represent different mathematical categories where capabilities reside: Span handles linear resources, Prof manages transformations, and Presheaves validate observations.

What does Cat# bicomodule composition mean for AI?

It is a mathematical framework that allows the AI to verify that two different skills can be safely combined into a single, more powerful capability without losing consistency.

Slowtime MCP

Name: Slowtime MCP
Author: plurigrid

byplurigrid

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Developer Tools

Enhances Model Context Protocol operations with deliberate deliberation paths to accumulate complex AI capabilities through category-theoretic verification.

About

Slowtime MCP introduces a revolutionary 'slow path' to standard tool-calling workflows, prioritizing capability accumulation over immediate response latency. By leveraging Cat# (Category Sharp) bicomodule composition, this skill allows an AI agent to verify the coherence and naturality of complex operations during a deliberate temporal delay. This process transforms standard tool outputs into lasting composite skills, enabling the agent to learn and retain sophisticated patterns—such as self-hosting monads or cross-domain correspondences—that are typically lost in high-speed, stateless interactions.

Key Features

Cat# Capability Accumulation: Build and compose new skills using verified bicomodule composition logic.
GF(3) Triad Management: Organize system states using ergodic triads for stable capability bootstrapping.
2 GitHub stars
Naturality Verification: Ensure mathematical coherence across Span, Prof, and Presheaf capability homes.
Asymmetric Temporal Paths: Toggle between standard O(1) latency and deep-deliberation slow paths.
Information Asymmetry: Empower agents with structural insights and composition traces during deliberation.

Use Cases

Generating validated database queries by composing schema contracts with analytics tool-calling.
Bootstrapping metacircular evaluators through self-hosting monad deliberation.
Correlating source code ASTs with binary outputs via category-theoretic correspondence.

About

Key Features

Cat# Capability Accumulation: Build and compose new skills using verified bicomodule composition logic.
GF(3) Triad Management: Organize system states using ergodic triads for stable capability bootstrapping.
2 GitHub stars
Naturality Verification: Ensure mathematical coherence across Span, Prof, and Presheaf capability homes.
Asymmetric Temporal Paths: Toggle between standard O(1) latency and deep-deliberation slow paths.
Information Asymmetry: Empower agents with structural insights and composition traces during deliberation.

Use Cases

Generating validated database queries by composing schema contracts with analytics tool-calling.
Bootstrapping metacircular evaluators through self-hosting monad deliberation.
Correlating source code ASTs with binary outputs via category-theoretic correspondence.