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dsh-okf-memory

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OKF v0.1 knowledge memory driven by cognitive-neuroscience principles: predictive recall (predict-then-verify), uncertainty-driven exploration, prediction-error capture (user corrections / first disclosures trigger writes), and a reinforcement feedback loop (score = relevance x weight x recency) with weight decay and archiving. TechChoice type distills frontend/backend/language selections into candidate tables with a three-tier choice rule; every concept is standard OKF Markdown (type-required frontmatter, index/log, cross-links).

Categories◆ Memory
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ZHI-QIZHI-QI
·ZHI-QI/dsh-okf-memory
Language
JavaScript
License
MIT
Branch
main
agentdsh-pluginmemoryokf

Install

cmdweb profile
$ dsh plugin --profile web add github:ZHI-QI/dsh-okf-memory

Run the command above in your terminal to install this plugin via the dsh CLI. You can switch Profile in the top-right corner. New to dsh? Read the beginner tutorial

Install via your agent

Install the DeepSeek Harness plugin ZHI-QI/dsh-okf-memory for me: review the repository at https://github.com/ZHI-QI/dsh-okf-memory first, then run the install command and verify the plugin loads successfully.

Paste this instruction to the DSH Web GUI assistant — it will install and verify for you.

Read the usage guide →

Install steps, key points, FAQ and compatibility for this plugin — auto-derived from indexed fields.

Listing badge

Listed on deepseek-plugin.org
[![Listed on deepseek-plugin.org](https://img.shields.io/badge/listed_on-deepseek--plugin.org-007EC6)](https://deepseek-plugin.org/plugins/ZHI-QI/dsh-okf-memory)

Paste this markdown into your GitHub README to link back to this listing. The badge only states the listing — not a security endorsement.

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