Comprehensive Agent Management
Our Agent Control Plane provides complete visibility and control over your AI agent infrastructure, from deployment to monitoring.
Fleet Oversight
Monitor hundreds or thousands of agents with real-time health status, performance metrics, and operational insights.
Cost & Token Tracking
Track infrastructure costs and token consumption across your entire agent fleet with detailed analytics and budgeting.
Governance & Security
Implement security policies, access controls, and compliance frameworks across all your agents and subsystems.
Agent Registry
Centralized registry for all your agents with version control, configuration management, and deployment tracking.
Tool & MCP Management
Deploy and manage tools and MCP servers across your agent fleet with automated provisioning and updates.
Health Monitoring
Proactive health monitoring with automated alerts, performance optimization, and predictive maintenance.
How It Works
Deploy, monitor, and manage your AI agent fleet with our comprehensive control plane platform.
Register Your Agents
Add your existing agents to the registry or create new ones with predefined blueprints. Configure tools, MCP servers, and access permissions for each agent.
Deploy & Monitor
Launch agents across your infrastructure with automated deployment. Monitor health, performance, and resource utilization in real-time with comprehensive dashboards.
Govern & Optimize
Use the control plane to view your agent ecosystem. Implement governance policies, optimize costs, and scale your agent fleet based on demand. Access detailed analytics and automated recommendations for continuous improvement.
Use Cases
Discover how organizations are using our Agent Control Plane to manage their AI infrastructure at scale.
Enterprise AI Operations
Manage hundreds of AI agents across multiple departments with centralized governance and monitoring.
- Multi-department coordination
- Centralized governance
- Cost optimization
AI Agent Development
Streamline agent development with integrated tools, MCP servers, and automated testing frameworks.
- Tool integration
- MCP server management
- Automated testing
Multi-Tenant SaaS
Provide AI agent services to multiple customers with isolated environments and usage tracking.
- Tenant isolation
- Usage analytics
- Billing integration
Kunal Bharati
VP of Eng, Raw Engineering
"The Agent Control Plane has transformed how we manage our AI infrastructure. We can now monitor and govern all of our agents across our platform with complete visibility into costs, performance, and health.
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Start Building with Our Free Agent SDK
Get started with AI agents today using our open-source Go SDK. Build production-ready agents with advanced memory management and MCP integration, then seamlessly deploy them with StarOps when you're ready to scale.
View on GitHubMulti-Tenant Go Agents
Build production-ready AI agents in Go with built-in multi-tenancy support, perfect for SaaS applications and enterprise deployments.
Advanced Memory Management
Sophisticated conversation memory with context management, vector storage, and intelligent retrieval for complex agent interactions.
MCP Integration
Seamless integration with Model Context Protocol servers for extending agent capabilities with tools and external services.
Bring Your Own Model
Use your own API keys with OpenAI, Anthropic, Google Vertex AI, Ollama, or vLLM. Keep your data and costs under your control.
CLI Tool Included
Powerful command-line interface for headless usage, interactive chat mode, and task execution with YAML configurations.
Easy StarOps Migration
Start locally and migrate to StarOps when you need enterprise-scale deployment, monitoring, and governance capabilities.
Ready to Scale?
Start with our free SDK to explore AI agents, then upgrade to StarOps for enterprise-grade deployment, monitoring, and governance when you're ready to scale.
Start Your Free Trial Today
Start managing your AI agent fleet with our 14-day free trial. Deploy your first agents in minutes.