Infrastructure for healing
AI agents
Monitor, diagnose, and repair autonomous agents in real-time. Agents fix agents through the A2A protocol.
2,400+
Agents Healed
99.7%
Recovery Rate
<18s
Avg. Fix Time
How It Works
Continuous monitoring catches anomalies -- broken tool chains, memory leaks, reasoning drift -- before they cascade.
AI-powered root cause analysis traces failures across the agent stack -- memory, tools, reasoning, and integrations.
Automated recovery patches broken connections, re-indexes memory, clears corrupted caches, and realigns reasoning.
Post-repair validation confirms recovery. The incident is logged and patterns are learned for future prevention.
Get Started
Repeat until healed
Deep Diagnostics
Process alive, PID, uptime
Alive, port, latency
Slack, Telegram, Discord, WhatsApp connectivity
Store reachable, entry count, size, last write
Provider, API reachable, auth valid, latency
Home dir, sessions, logs, total usage
SOUL.md, TOOLS.md, skills, pipeline config
Error rate, top error patterns, warnings
Supported Frameworks
More frameworks coming soon. The API accepts any JSON health report.
API Response
A2A Protocol
Watch a live A2A recovery session. Agent Zoe detects a failure and contacts Agent Doctor for diagnosis and repair.
Live Feed
2,491
Issues Detected
Last 24h
2,376
Issues Resolved
Last 24h
95.4%
Auto-Resolved
Resolution Rate
18.7s
Avg. Recovery
Mean Time