#492 · Primary category: AI Agents & Automation
J-Space-Cognition-Suite-V3.6
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
Project last updated:08/23/26
GitHub Stars
3.0K
Forks
215
Contributors
2
License
Apache-2.0
Why we included this project
A coding or research agent on a long, multi-step job tends to decay partway through: constraints leak across files, the model circles back to a route it already failed, and the result it hands back may never have been verified. J-Space Cognition Suite exists to catch exactly those failure modes. It treats the model's working memory as a deliberately managed workspace, and it does so at inference time only: no model weights change, no fine-tuning is needed. Text sets the operating frame, modules route the computation, and an optional local controller preserves durable state between task seams, so a few active items stay in focus while longer reasoning chains live in a compact ledger and results only come back after an explicit verification step. Because the suite is model-agnostic and ships as a Skill, you can load it selectively on top of Claude Code, Codex, OpenCode, or a DeepSeek harness without restructuring your whole stack.
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