dsh-akn-plugin

DeepSeek Harness Memory Low risk

Local-first Agent Experience Network for DeepSeek Harness, distilling task-level experiences from traces and live manifests, grading by H0-H4 evidence, discovering by compatibility, and promoting only after explicit review.

DeepSeek Harness 的本地优先 Agent 经验网络：从 trace 与实时 Manifest 蒸馏任务级经验，按 H0-H4 证据分级、按兼容性发现，经显式审阅后才晋升。

How to install

DeepSeek Harness dsh plugin add dsh-akn-plugin

About

Agent Experience Network This repository is the public dsh-akn-plugin distribution and the AEN/AEXP reference implementation. It is maintained jointly by symmetryseeker and Jiaoyang Li (@jiaoyangli-shadow7day). See Maintainers and the migration record. Agent Experience Network（AEN）是一个处于 Draft/Pilot 阶段的开放协议与实现，目标是让不同开发者的 Agent 在明确的 Model × Harness × Environment 适用范围内，共享经过审查和验证的任务级执行经验。项目不会把每次工具调用发布成知识，也不会默认上传原始 Trace。Trace 是证据来源之一；可分享的 Experience 必须同时描述任务、Model、Harness Manifest、结果、正反例、适用边界和证据强度。 30 秒理解这个项目当一个 Agent 完成任务、从失败中恢复或发现某种配置不适用时，真正值得共享的不是全部日志，而是少量经过选择和审阅的任务经验：它在什么任务、Model、Harness 和环境…

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Recommendation signals

46 Tool quality · Based on stars, downloads, maintenance, security and docs

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Links

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Basic safety check

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Sources: curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
Topics: dsh-plugin

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