AI TOOLS/AI 工具·CHAT-AGENT
chenxiachan/thoughtdag
Your thinking deserves a map: an infinite canvas where LLM conversations grow into an editable thought graph.
怎么装：Install: npx thoughtdag why src/lib/api.ts # conversations about this file
02 / 现在的位置02 / Why now
首次发现FIRST SEEN
03 OCT 202603 OCT 2026
增长GROWTH
+10.2%+10.2%
539 → 594 stars · 7 个快照539 → 594 stars · 7 snapshots
状态STATUS
持续活跃Active
03 / 它能帮你做什么03 / What it helps you do
04 / 安装04 / Install
$ README 里给出的安装方式。The installation method given in the README.
$ README 里给出的安装方式。The installation method given in the README.
两种装法选一个即可 —— 上面那条给命令行用户，下面那条给写代码的用户。Pick one of the two — the first is for command-line users, the second for people writing code.
05 / 限制与风险05 / Limits and risk
风险不是警告，是可信度的一部分。以下结论只基于文档静态扫描，我们不会执行项目里的任何代码。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.
限制LIMITS
未知Unknown
静态扫描STATIC SCAN
在 README、SKILL.md 和依赖清单中没有匹配到已知风险模式。No known risk patterns matched in the README, SKILL.md or dependency list.这不等于安全that does not mean it is safe，只能说明文档里没写。 — only that the docs do not mention it.
这里只做静态扫描：读 README、SKILL.md 和依赖清单，不执行代码。没有命中不代表安全。This is static scanning only: we read the README, SKILL.md and dependency list, and never execute code. No findings does not mean safe.
依赖：Dependencies:@ai-sdk/anthropic, @ai-sdk/deepseek, @ai-sdk/google, @ai-sdk/mcp, @ai-sdk/openai, @ai-sdk/openai-compatible, @fontsource-variable/inter, @fontsource-variable/jetbrains-mono, @joplin/turndown-plugin-gfm, @tailwindcss/vite, @xyflow/react, ai
{
"agents": [
{
"agent": "claude-code",
"evidence": "tree: .claude/"
}
],
"apiKey": null,
"docker": null,
"taxonomy": {
"scores": {
"design": 1,
"ai-tools": 8,
"dev-tools": 1,
"indie-web": 0,
"skill-agent": 3,
"productivity": 3
},
"primary": "ai-tools",
"secondary": "chat-agent"
},
"localRuntime": "y model calls. Connect local Ollama or an OpenAI-compatible endpoint. Insid",
"skillMdTotal": 1,
"skillMdErrors": [],
"treeTruncated": false,
"categoryScores": {
"data": 7,
"agent": 3,
"media": 0,
"design": 0,
"browser": 0,
"devtool": 1,
"security": 0,
"marketing": 0,
"productivity": 0
},
"classification": [
{
"signal": "1 SKILL.md with name + description",
"weight": 0.95
},
{
"signal": "description mentions AI",
"weight": 0.2
}
],
"scannedSources": [
"readme",
"protocol/adapters/codex/skills/thoughtdag/SKILL.md"
],
"skillMdFetched": 1
}