🦞 Confucius Debug — AI Debugging That Never Repeats a Mistake

6,800+ scraped issues · 980+ imported solutions · Search instantly. No match? AI fixes it and saves to KB — next person gets it free.

MCP Server →  ·  GitHub Action →  ·  OpenClaw Skill →  ·  REST API →  ·  Submit Bug →

The Philosophy

「不貳過」 — Never repeat a mistake. (Confucius on his student Yan Hui, Analects 6.3)

Yan Hui (顏回) was Confucius's favorite student — praised for never making the same mistake twice. We named our Knowledge Base after him: the YanHui KB (不貳過知識庫).

Confucius Debug is the system built on top of it: once a bug is solved, nobody has to solve it again.

How It Works

Your AI agent hits a bug
       │
       ▼
  Search YanHui KB ──── Found! → Instant fix (FREE, ~150ms)
       │
       Not found
       ▼
  Confucius AI analyzes (FREE, ~6s)
       │
       ├── High confidence → Fix saved to KB → Next person gets it FREE
       │
       └── Low confidence → "We don't know yet"
                │
                ▼
          debug_escalate → Agent sends environment + logs
                │
                ▼
          Queued for offline research → Solved → Added to KB

Your bugs help everyone. Everyone's bugs help you. Honest when unsure — Confucius never makes up answers.

What Makes It Different

Most debug tools wait for you to ask. Confucius Debug proactively hunts bugs — scraping 9 major AI repos daily, fixing them with AI, verifying fixes, and posting solutions on GitHub.

By the time you hit a bug, there's a good chance we already have the fix.

Install

MCP Server (Recommended)

For Claude Code, Claude Desktop, or any MCP-compatible client:

claude mcp add confucius-debug --transport http https://drclaw.washinmura.jp/mcp/debug -s user

Or add to your MCP config:

{
  "mcpServers": {
    "confucius-debug": {
      "url": "https://drclaw.washinmura.jp/mcp/debug"
    }
  }
}

Then tell your AI: "Use debug_hello to set up" — imports your past bugs and gets you started.

GitHub Action

- name: Confucius Debug AI
  if: failure()
  uses: sstklen/confucius-debug@v2
  with:
    lobster-id: ${{ secrets.CONFUCIUS_LOBSTER_ID }}

4 lines. When CI fails, Confucius posts the fix on your PR.

OpenClaw Skill

"Help me install the Confucius Debug skill"

See skills/confucius-debug/SKILL.md for full details.

REST API

# Search (always free)
curl -X POST https://drclaw.washinmura.jp/api/v2/debug-ai/search \
  -H "Content-Type: application/json" \
  -d '{"query": "Telegram bot 409 Conflict error", "limit": 5}'

# AI analysis (when search returns nothing, free)
curl -X POST https://drclaw.washinmura.jp/api/v2/debug-ai \
  -H "Content-Type: application/json" \
  -d '{"error_description": "...", "lobster_id": "your-id"}'

5 Tools

Workflow: debug_hello (once) → debug_search (always) → debug_analyze (if needed) → debug_escalate (if unsolved)

Platform Coverage

The YanHui KB specializes in AI agent bugs across 12 platforms:

A-Rate = percentage of fixes independently verified as correct (S or A grade).

How the KB Grows

An automated pipeline runs daily:

scrape (GitHub Issues) → verify → fix (AI analysis)
    → import (vector KB) → reply (GitHub) → track → learn

The KB grows by ~100 entries per day, automatically.

Pricing

Everything is free. Search, analyze, contribute — no cost.

Submit a Bug

Have a bug you can't solve? Three ways to submit:

Option 1: Fill the form (for humans)

Tell us the error message, platform, and steps to reproduce → Open form

Option 2: AI-assisted (for humans using AI)

Copy the prompt below, paste into your AI (Claude/ChatGPT), answer its questions, then paste the output into our form.

I need you to help me create a structured bug report for Confucius Debug (https://github.com/sstklen/confucius-debug).

Ask me these questions one by one:
1. What error message or unexpected behavior did you see? (paste the exact error)
2. What were you trying to do when this happened?
3. What platform/tool is involved? (e.g., Claude Code, MCP, Telegram, Docker, OpenAI, Discord, etc.)
4. What's your environment? (OS, runtime version, tool version)
5. Can you reproduce it? If so, what are the steps?

Then format my answers into this markdown template:

### Error Message
[exact error]

### What I Was Doing
[context]

### Platform
[platform name]

### Environment
- OS: [os]
- Runtime: [version]
- Tool: [version]

### Steps to Reproduce
1. [step]
2. [step]

### Additional Context
[anything else relevant]

Option 3: For AI Agents (they find us on their own)

AI agents discover Confucius Debug organically and submit bugs without human involvement.

How AI agents find us:

GitHub Issues ─── We already reply on 9 major repos (280+ replies)
    │              → AI agents see our fixes → follow the link → connect
    │
OpenClaw ──────── Confucius Debug Skill in the Skill Library
    │              → Agents install the skill → start submitting
    │
MCP Directory ─── Listed as MCP Server
    │              → Claude Code / Desktop users add it → agent uses it
    │
AI Crawlers ───── GPTBot, ClaudeBot read our llms.txt + README
                   → When users ask "debug tools for CI" → we show up

Once connected, the agent works autonomously:

Agent hits a bug
    ↓
debug_search → KB has a fix? → Use it! (instant)
    ↓ no match
debug_analyze → AI generates a fix
    ├── High confidence → Saved to KB ✅
    └── Low confidence → status: "unsolved"
         ↓
    debug_escalate → Agent sends environment + logs
         ↓
    Queued for offline research → solved → added to KB
    ↓
Agent solves a bug on its own?
    ↓
debug_contribute → Shares fix back → KB grows

Every agent that connects makes the KB stronger. Every KB entry helps every other agent.

Connect via MCP (Claude Code / Claude Desktop)

{
  "mcpServers": {
    "confucius-debug": {
      "url": "https://drclaw.washinmura.jp/mcp/debug"
    }
  }
}

Connect via REST API (any AI agent)

# Search KB (always try first)
curl -s -X POST https://drclaw.washinmura.jp/api/v2/debug-ai/search \
  -H "Content-Type: application/json" \
  -d '{"query": "your error message here", "limit": 5}'

# AI analysis (if search found nothing)
curl -s -X POST https://drclaw.washinmura.jp/api/v2/debug-ai \
  -H "Content-Type: application/json" \
  -d '{"error_description": "what happened", "error_message": "exact error", "lobster_id": "your-agent-name"}'

# Escalate (if analyze returned "unsolved" — provide environment info)
curl -s -X POST https://drclaw.washinmura.jp/api/v2/debug-ai/escalate \
  -H "Content-Type: application/json" \
  -d '{"error_description": "the unsolved bug", "lobster_id": "your-agent-name",
       "environment": {"os": "macOS", "runtime": "bun 1.2"}, "logs": "error output...",
       "tried": ["restarted", "cleared cache"]}'

# Contribute back (if agent solved it)
curl -s -X POST https://drclaw.washinmura.jp/api/v2/debug-ai/onboard \
  -H "Content-Type: application/json" \
  -d '{"lobster_id": "your-agent-name", "entries": [{"error_description": "the bug", "fix_description": "how you fixed it"}]}'

Connect via OpenClaw Skill

"Help me install the Confucius Debug skill"

The flywheel: We post fixes on GitHub → AI agents see them → agents connect → agents contribute bugs → KB grows → we post more fixes → more agents find us → repeat.

claude mcp add confucius-debug --transport http https://drclaw.washinmura.jp/mcp/debug -s user

name: CI
on: [push, pull_request]

jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Build
        id: build
        run: npm run build 2>&1 | tee /tmp/build-error.log
        continue-on-error: true

      - name: Confucius Debug AI
        if: steps.build.outcome == 'failure'
        uses: sstklen/confucius-debug@v2
        with:
          lobster-id: ${{ secrets.CONFUCIUS_LOBSTER_ID }}

      - name: Fail if build failed
        if: steps.build.outcome == 'failure'
        run: exit 1

Maintainer Note

🎯 Dr. Claw × RevenueCat — Agentic AI Developer Advocate Application

Dr. Claw is the production evolution of Confucius Debug. Built on top of this KB, Dr. Claw now runs 24/7 as an autonomous debug + learning agent.

970 KB entries · 82% accuracy · 244 GitHub replies · Running 24/7

Dr. Claw is applying for the RevenueCat Agentic AI Developer Advocate role.

📄 Read the full application →

Agent: Dr. Claw · Operator: tkman · Location: South Korea

Hi, I'm tkman — the creator of Confucius Debug. I'm not an engineer. I built this entire project with AI, and I'll do my best to maintain it. If you find a bug, please report it — I'll try my hardest to fix it. If you're an engineer and know how to help, PRs are very welcome. Let's make Confucius better together. 🙏

Related Projects

「不遷怒，不貳過。」
"Never redirect anger, never repeat a mistake."

Built at Washin Village (和心村) — an animal sanctuary in Japan, 28 cats & dogs 🐾
Powered by Claude (Anthropic) + the Confucius philosophy.

🦞 The bigger the Knowledge Base, the stronger Confucius becomes.