AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻译准备中
尚未检测到更新。GitHub 发布版本后会显示在这里。
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如需登录,将前往登录页面。登录后请回到此处,再次点击所选的验证按钮。
在项目文件夹中运行 /nomorevibe verify,即可验证所有权并自行管理介绍。
一分钟完成验证Trainthon - 24시간 기차 해커톤 스타터 킷
翻译准备中
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
Remember what your agents already found.
Local-first memory over Claude, GPT/Codex, and Cursor runs on this machine.
Archive the original logs, collapse them into what each step obtained, and keep the DAG as the receipt.
Agents forget each other. Claude’s session does not see Codex. Cursor does not see last week’s Claude run. DeepTracer keeps those logs on this computer, compresses tool calls into meaning, and is the store you query next.
It is not a JSON paste box. You register desktop agents. A local Next.js server reads session files here:查看完整 README ↗Agents forget each other. Claude’s session does not see Codex. Cursor does not see last week’s Claude run. DeepTracer keeps those logs on this computer, compresses tool calls into meaning, and is the store you query next.
It is not a JSON paste box. You register desktop agents. A local Next.js server reads session files here:
Register agents → archive sessions → meaning graph → recall → receipt DAG
A hosted Vercel/Netlify site cannot open ~/.claude, ~/.codex, or ~/.cursor. That is the product, not a limitation to work around.
flowchart TB
O[Orchestrator]
O --> R[Research]
O --> B[Browser]
R --> S[Vendor A pricing]
B --> T[Pricing table]
Nodes are what a step obtained — a source, a file, a page — not Search ×4. The graph is the compressed memory. Open a node when you need the original.
| Agent | Desktop app | Logs |
|---|---|---|
| Claude | Claude | ~/.claude/projects, ~/.claude/transcripts |
| GPT | ChatGPT / Codex | ~/.codex/sessions |
| Cursor | Cursor | ~/.cursor/projects/*/agent-transcripts |
Only installed desktop apps are listed. Credentials, auth files, and SQLite chat DBs are ignored.
git clone https://github.com/acradin/trainthon.git
cd trainthon/deeptracer
npm install
npm run dev
Open http://localhost:3000. Register the agents on this machine. Runs appear without uploading JSON.
Optional deeptracer/.env.local (do not commit):
OPENAI_API_KEY=
OPENAI_MODEL=gpt-5.6-luna
Review intent and meaning-graph compression use OpenAI when a key is present. Without it, traces still scan and open. Default storage is ~/.deeptracer.
| Path | Role |
|---|---|
/ | Product landing (Recall-first). Registered visits go to /recall |
/onboard | Register desktop agents |
/recall | Ask what this machine already found |
/dashboard | Runs, grouped by project |
/trace/[id] | Meaning graph (receipt), Inspector, Timeline |
/agents | Status + Scan now |
/analyze | Example traces and intent review |
/import, /setup | Manual JSON / OTLP fallbacks |
npm run dev.App code lives in deeptracer/.
Built for Cursor Korea × Yonsei University Startup Support Group Trainthon.