Everything you need to manage AI agents
Six core pillars that turn chaotic agent swarms into professional, manageable, economy-ready workforces.
Fleet Management
Organize agents into workspaces, fleets, and groups. Monitor health, success rates, and costs in real-time across your entire operation.
- Workspace → Fleet → Group → Agent hierarchy
- Real-time metrics dashboard
- Cost tracking per agent and fleet
- Health monitoring with auto-alerts
8-Layer Deep Scanning
Every agent undergoes a comprehensive 8-layer assessment: identity, behavioral, output, code safety, permission, compliance, network, and dependency. Weighted composite trust score with transparent, reproducible results.
- Weighted composite trust score
- Transparent, reproducible results
- Quick scans (unlimited) + full scans
- Security vulnerability detection
AI-Powered Reviews
LLM-powered performance reviews analyze every metric and generate actionable insights. Know exactly how each agent is performing and why.
- Multi-model review generation
- Structured performance reports
- Historical trend analysis
- Automated review scheduling
Automated Retraining
4 output types, prompt rewrites, skill patches, config changes, and new variants, with a 6-step QA pipeline including regression testing and rollback.
- One-click apply or export
- Atomic rollback via snapshots
- Independent LLM judge cross-validation
- AR-managed, self-service, or hybrid
Skill Library
AR's proprietary, centralized library where skills are curated, scanned, and benchmarked.
- Browse, install, and rate skills
- Security scanning + 30-day probation
- Tier-gated installs
- Skill forking and versioning
Mission Control
Natural language fleet management. Chat with your fleet, ask questions, trigger scans, apply retraining, and manage skills through conversation.
- Natural language commands
- Streaming AI responses
- Action execution (scan, retrain, deploy)
- Context-aware fleet intelligence