# J-Space Cognition Suite

A skill package of thirteen modules that gives a coding agent a structured, evidence-backed workflow for deep reasoning, long tasks, verification, and recovery.

J-Space Cognition Suite is an inference-time skill package for AI coding agents, aimed at complex reasoning, repository engineering, coordinating multiple agents, and authorized security analysis. It is installed as a single skill and organizes thirteen modules around one shared routing entry point, so a host agent loads only the modules a task needs.

Its controllers are plain Python scripts that persist state across a long task, reread the actual source files rather than trusting a cached summary, detect when a map or piece of evidence has gone stale, and block progress when a required condition is missing. It needs Python 3.10 or newer for its executable checks, though lower-effort agents can fall back to following the documented instructions in prose. It is based on and references Anthropic's J-space global-workspace research.

It is released under the Apache-2.0 license.

Website: https://github.com/Tiger3807861189/J-Space-Cognition-Suite