TL;DR
I built Vibe-Claude, a multi-agent system for Claude Code that:
- Delegates tasks to specialized agents automatically
- Creates new agents when it lacks capabilities
- Learns from failures
- Keeps retrying until done
GitHub: https://github.com/kks0488/vibe-claude
The Problem
Traditional AI coding: prompt → result → fix → prompt → result → fix...
You're still doing the work.
The Solution
/vibe build a login page with OAuth
Walk away. Come back to working code.
How It Works
Multi-Agent Architecture
11 specialized agents:
| Agent | Model | Purpose |
|---|---|---|
| v-analyst | Opus | Debugging |
| v-planner | Opus | Architecture |
| v-worker | Sonnet | Implementation |
| v-designer | Sonnet | UI/UX |
| v-finder | Haiku | Fast search |
Self-Evolution
When Claude struggles with a task type:
- Creates a new specialized agent
- Saves to
~/.claude/agents/ - Routes future tasks to it
The system improves itself.
Failure Learning
Logs mistakes to ~/.claude/lessons-learned.md. Same mistake never happens twice.
Infinite Retry
Attempt 1: Try
Attempt 2: Different approach
Attempt 3: Escalate model
...until success
Quick Start
curl -fsSL https://raw.githubusercontent.com/kks0488/vibe-claude/main/scripts/install.sh | bash
GitHub: https://github.com/kks0488/vibe-claude
Feedback welcome.
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