Agent Self-Debugger

Agent Self-Debugger gives AI agents the ability to detect their own errors, analyze root causes, and suggest or apply fixes automatically. No more silent failures or mysterious crashes.

The Agent Problem

Without Self-Debugger:

• Agent crashes silently, no idea what went wrong
• Same errors happen repeatedly
• Hours spent manually debugging
• No error pattern recognition
• Recovery requires human intervention

With Self-Debugger:

• Automatic error detection and capture
• Root cause analysis in seconds
• Self-healing suggestions
• Error pattern learning
• Automatic recovery strategies

Core Features

🔍 Error Detection

• Real-time exception catching
• Error classification by type
• Stack trace capture and parsing
• Context preservation
• Error severity scoring

🧠 Root Cause Analysis

• Automated diagnosis
• Code path tracing
• Variable state inspection
• Dependency analysis
• Pattern matching with known issues

🛠️ Self-Healing

• Automatic fix suggestions
• Confidence-scored recommendations
• Auto-apply safe fixes
• Recovery strategy execution
• Fallback mode activation

📈 Error Analytics

• Error frequency tracking
• Pattern recognition
• Trend analysis
• Recovery success rates
• Performance impact assessment

Commands

debug status
debug errors
debug patterns
debug heal

Perfect For

Developers running complex agent workflows, anyone tired of manual debugging, teams who need reliable autonomous operation.