thoughtdag
在 DeepSeek Harness 中嵌入可编辑对话画布，通过连线选择画布请求的上下文，支持分支、合并与本地 Agent 会话导入。
- 形态
- Plugin 插件
- 安装
- npm 包安装
- 需要密钥
- 是
- 近月下载
- 5,019
- 最近推送
- 今天更新
项目说明
From README
ThoughtDAG An open-source AI canvas that makes model context visible, editable and testable.Each exchange becomes a node.Wires are the context.Branch a side question, connect the paths you need, and choose what the model sees next.
Download · Website · Research · Docs · 中文 ▶ Watch the 33-second tour What it does - Edit the context.Wires decide which conversation paths reach the next question.Disconnect a path and its nodes stay on the canvas.Preview the request before you send it.- Branch from what you read.
Ask from a passage in an answer, a PDF, an image or a web page, or clip it into its own node with its source.- Continue earlier work.Open local Claude Code, Codex, DeepSeek Harness and Pi sessions as graphs.
Recall brings relevant past discussions into a question, with an optional Jev decision layer to rank excerpts.Get started Use it as Start with --- --- Desktop app (macO
Original description
Your thinking deserves a map: an infinite canvas where LLM conversations grow into an editable thought graph. Wires are the context.
安装方式
npm 包安装 · 需要额外配置密钥
dsh plugin --profile web add dsh-thoughtdag安全能力
静态扫描源码得到的权限画像 —— 回答的是「它要动什么」，而不是「它好不好」
- 执行命令
- 写入文件
- 读取文件
- 访问网络
- 读取环境变量
- 访问宿主运行时
- 调用模型
未发现已知红线（明文传输、安装期执行代码、凭据外传等）。
能力与红线来自 awesome-dsh-plugin 的静态扫描结果（CC0 公有领域），本站未逐行复核源码； 它只覆盖能被静态识别的模式，不等于安全审计结论。
为什么是这个分数
近 1 天仍在推送；README 未给出明确安装命令，需要自己读；运行前需要准备 API Key 或环境变量；746 stars，社区使用面较广。
- 维护活跃
- 100
- 实用度
- 90
- 生态热度
- 74
- 上手便捷
- 44
- 信号质量
- 100
- 数据置信度
- 100%
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