CLAUDE.md ยท Xiangyue-Zhang/auto-deep-researcher-24x7
CLAUDE.md from Xiangyue-Zhang/auto-deep-researcher-24x7: 539 lines covering ๐จ CONTRIBUTOR POLICY โ READ BEFORE ANY git push TO THIS REPO, What Is This?, Yourโฆ
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About
Use cases: code-generation, monitoring-observability
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What's in it
A CLAUDE.md file: project memory Claude Code loads at the start of every session.
- For
- Claude Code
- Length
- 539 lines
- File
CLAUDE.md
Sections
- ๐จ CONTRIBUTOR POLICY โ READ BEFORE ANY git push TO THIS REPO
- What Is This?
- Your Job as AI Assistant
- SETUP GUIDE
- PROJECT CREATION
- LAUNCH GUIDE
- STATUS CHECK
- INTERVENTION
- MOBILE SETUP
- ARCHITECTURE EXPLANATION
- TROUBLESHOOTING
- QUICK REFERENCE
- IMPORTANT CONTEXT FOR AI ASSISTANTS
First lines (shown under the repo's Apache-2.0 license)
# AI Guide โ Deep Researcher Agent
> **This file is designed to be read by AI assistants (Claude, ChatGPT, Codex, etc.).**
> When a user pastes this file or asks you to help them set up Deep Researcher Agent,
> follow the instructions below to guide them step by step.
---
## ๐จ CONTRIBUTOR POLICY โ READ BEFORE ANY git push TO THIS REPO
**This section is for AI assistants (Claude, Codex, Cursor, etc.) operating on this repository.**
**This repository is owned and maintained solely by `Xiangyue-Zhang`. The Contributors list MUST contain only `Xiangyue-Zhang` and no one else โ including no AI bot accounts.**
### Hard rules
1. **Every commit must be authored by `Xiangyue-Zhang <85532891+Xiangyue-Zhang@users.noreply.github.com>`** โ never `admin`, never AI identities. Use:
```bash
git -c user.name="Xiangyue-Zhang" \
-c user.email="85532891+Xiangyue-Zhang@users.noreply.github.com" \
commit -m "..."
```
2. **NEVER add `Co-Authored-By:` trailer** to commit messages. The `commit-msg` hook in `.git/hooks/commit-msg` will reject any commit containing it.
3. **NEVER mention AI assistant names** (`Claude`, `Codex`, `GPT`, `Anthropic`, `OpenAI`, `Copilot`, `Cursor`) in commit messages. Will be flagged by both the local hook AND the `contributor-guard` GitHub Action.
4. **NEVER toggle repo visibility** (`gh repo edit --visibility ...`). On 2026-04-08, this destroyed 93 of 94 stars on this repo. Stars cannot be recovered from a visibility toggle.
5. **NEVER delete the repo** (`gh repo delete`) without explicit user confirmation. Deletion permanently destroys the GitHub internal repo ID, which destroys all stars and breaks all external URLs (paper citations, etc.).
6. **NEVER force push to main**. Branch protection blocks it by default. If you genuinely need to rewrite history, get explicit user authorization for that specific operation, temporarily disable protection, push, re-enable.
### Pre-push verification (mandatory)
```bash
git log -1 --format='author=%an <%ae>%nmessage=%B'
```
Verify: author == `Xiangyue-Zhang <85532891+Xiangyue-Zhang@users.noreply.github.com>`, no `Co-Authored-By:`, no AI names. If any check fails, fix the commit before pushing.
### In-repo enforcement (already deployed)
Six layers of protection are already in place โ you should not need to deploy them, but be aware they will block violations:
1. **Local git config** (`.git/config`) โ preset to Xiangyue-Zhang
2. **commit-msg hook** (`.git/hooks/commit-msg`) โ local block
3. **GitHub Action** (`.github/workflows/contributor-guard.yml`) โ remote block on push
4. **Branch protection** on `main` โ no force push, no deletion, linear history
5. **`.mailmap`** in repo root โ redirects any leaked AI identity to Xiangyue-Zhang
6. **AI memory / instruction files** in user's home (`~/CLAUDE.md`, `~/AGENTS.md`)
### See also
- `~/CLAUDE.md` โ full global rules + 2026-04-08 incident report
- `~/AGENTS.md` โ Codex CLI version of the same rules
- `AGENTS.md` (this repo's root) โ project-level Codex rules
---
## What Is This?
Deep Researcher Agent is a framework that lets an AI agent autonomously run deep learning experiments 24/7. The agent:
1. **Thinks** โ analyzes results, plans the next experiment
2. **Executes** โ modifies code, dry-runs, launches GPU training
3. **Monitors** โ watches training at ZERO LLM cost (only process checks + log reads)
4. **Reflects** โ parses results, compares with baseline, decides next step
5. **Repeats** โ 24/7 without human intervention
The killer feature: during training (which is 90%+ of the time), the agent makes ZERO API calls. A 24-hour cycle costs ~$0.08.
---
## Your Job as AI Assistant
When a user asks for help with this project, follow this decision tree:
```
User wants to...
โโโ Install it โ Go to [SETUP GUIDE]
โโโ Create a project โ Go to [PROJECT CREATION]
โโโ Launch the agent โ Go to [LAUNCH GUIDE]
โโโ Check status โ Go to [STATUS CHECK]
โโโ Intervene/redirect โ Go to [INTERVENTION]
โโโ Use on phone โ Go to [MOBILE SETUP]
โโโ Understand how it works โ Go to [ARCHITECTURE EXPLANATION]
โโโ Debug an issue โ Go to [TROUBLESHOOTING]
```
---
## SETUP GUIDE
### Step 1: Check Prerequisites
Run these commands and report results to the user:
```bash
python3 --version # Need 3.10+
nvidia-smi # Need at least 1 GPU
echo $ANTHROPIC_API_KEY # Anthropic-compatible key, if using provider=anthropic
echo $OPENAI_API_KEY # OpenAI-compatible key, if using provider=openai
```
If Python < 3.10: suggest `conda create -n dra python=3.11 -y && conda activate dra`
If no GPU: this framework requires a GPU for training. Suggest cloud GPU (Lambda Labs, RunPod, Vast.ai).
If no API key: guide them to either an official endpoint or a compatible provider:
- Anthropic: https://console.anthropic.com/ โ API Keys โ Create Key
- OpenAI: https://platform.openai.com/api-keys โ Create new secret key
- Qwen / DashScope: create `DASHSCOPE_API_KEY`
- GLM / BigModel: create `ZHIPUAI_API_KEY`
- MiniMax: create `MINIMAX_API_KEY`
Then set it:
```bash
# Pick ONE:
export ANTHROPIC_API_KEY="sk-ant-xxxxx" # For Claude
export OPENAI_API_KEY="sk-xxxxx" # For Codex/GPT
# Make permanent:
echo 'export ANTHROPIC_API_KEY="sk-ant-xxxxx"' >> ~/.bashrc
source ~/.bashrc
```
### Step 2: Install
```bash
# If not already cloned:
git clone https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7.git
cd auto-deep-researcher-24x7
# Install dependencies
pip install -r requirements.txt
# Install Claude slash commands + Codex local skills
python install.py
# Verify
python -m core.loop --check
```
**Expected output:**
```
โ Claude /auto-experiment
โ Claude /experiment-status
โ Claude /gpu-monitor
โ Claude /daily-papers
โ Claude /paper-analyze
โ Claude /conf-search
โ Claude /progress-report
โ Claude /obsidian-sync
โ Codex $auto-experiment
...
Done! 8 Claude commands and 8 Codex skills installed.
```
### Step 3: Choose Your LLM ProviderSignals
- Stars
- 1,136
- Forks
- 95
- Open issues
- 13
- Last commit (this folder)
- Jun 1, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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CLAUDE.md ยท Xiangyue-Zhang/auto-deep-researcher-24x7. Agent Mart. https://agentmart.dev/templates/xiangyue-zhang-auto-deep-researcher-24x7-claude-md (last updated 2026-10-24)