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J-Space Cognition Suite

J-Space Cognition Suite V3.7 - AI cognitive-enhancement Skills based on Anthropic's J-space global workspace research. | 哔哩哔哩:Tiger380 (UID 3494375382321675) — https://space.bilibili.com/3494375382321675 observed · 2026-08-28

github.com/Tiger3807861189/J-Space-Cognition-Suite-V3.7 · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

69/100

  • Activity 99
  • Release rhythm 67
  • Longevity 3

Flags: young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 43
  • days_rel: 10
  • days_push: 10
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

3018 stars · 216 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A model-agnostic inference-time control suite packaged as an installable AI agent Skill (SKILL.md with modules, references, and Python verification scripts). It organizes an agent's working representations into a managed workspace for deep reasoning, long-horizon tasks, tool use, verification, and recovery without changing model weights.

Use cases

  • improve agent reasoning on long-horizon tasks
  • add structured verification and recovery to AI agent workflows
  • install a cognitive skill into Claude Code or Codex
  • control LLM behavior at inference time without fine-tuning
  • manage durable task state across multi-step agent work
  • audit a repository while preserving its architecture

When to choose

  • you use a Skill-compatible AI host like Claude Code, Codex, or OpenCode and want structured reasoning control
  • you need inference-time behavior shaping without retraining or fine-tuning a model
  • you want a model-agnostic, selectively loaded skill with a single entry point

When to avoid

  • your AI host has no native Skill loader and you cannot use system/developer-instruction integration
  • you expect weight-level or training-time model changes
  • you need a standalone application or GUI rather than an agent-invoked skill

Facets

plugin · maturity active

agent-framework prompt-engineering llm-inference developer-tools artificial-intelligence large-language-models developer-tools python cross-platform cli agent-skills claude-code codex opencode inference-time-control global-workspace cognitive-enhancement skill-plugin deepseek model-agnostic ai-agents

1 source

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Tiger3807861189/J-Space-Cognition-Suite-V3.7")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem