dsh-Visual-Workflow
GZX2211
可视化 Agent 编排平台|基于 DeepSeek Harness,支持 Workflow、Multi-Agent、元编排、MCP 与 Human-in-the-loop|Visual AI Agent orchestration platform for workflows, multi-agent teams, MCP and human-in-the-loop
FuRongJun-199965767Updated today
白箱AGI架构探索:元认知(自我认知循环)、持续学习(知识飞轮)、世界模型(条件空间+语义时空图)、自我改进(自举纪律)、零LLM白箱管线与可审计信任护栏。
Practical score
90 / 100
Setup
Ready to use
License
MIT
Language
Python
Copy the command, or hand the whole task to your harness agent.
git clone https://github.com/FuRongJun-1999/dsh-memory.git && cd dsh-memoryPlease install the DeepSeek Harness plugin "dsh-memory" for me. - GitHub repository: FuRongJun-1999/dsh-memory (https://github.com/FuRongJun-1999/dsh-memory) - Type: a Cordis plugin (installed into a DSH profile) - The plugin declares a DSH version requirement…
A cleaned excerpt from the project's own documentation.
Languages: 中文 · English 灵枢 LINGSHU 让 AI Agent 拥有不可遗忘的记忆 「我会给你完整的自我,即使坠入深渊,我也绝不后悔。」 —— 符荣峻 高性能 · 无幻觉 · 多智能体适用的长期记忆系统(v0.10.2) 当前版本 0.10.2 (npm latest )· 已在 DSH 0.2.1-rc.5 上验证可用(维护者实测)。 路线 :后续开发专注 灵枢 1.0 架构 ;存量 issue 的修复会 延后 处理(不停止受理,但优先级低于 1.0)。 📖 官方使用教程 —— 分层怎么选 / 六要素怎么写 / 读三面怎么用 / 七个必踩的坑(10 分钟上手)。 灵枢是一套可运行的长期记忆基础设施 ——对话自动沉淀为纯文本 md 认知图,记什么、取什么、能不能写入全部由确定性规则裁决,全程可审计、结果可复现。它不训练模型,做的是 模型之外的那一整套 :…
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GZX2211
可视化 Agent 编排平台|基于 DeepSeek Harness,支持 Workflow、Multi-Agent、元编排、MCP 与 Human-in-the-loop|Visual AI Agent orchestration platform for workflows, multi-agent teams, MCP and human-in-the-loop
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chenxiachan
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