Available Agents and MCP Servers
🤖Available Agents
Kubernetes Agent
Intelligent multi-agent framework (k8s-autopilot) for complete Kubernetes lifecycle automation. Generates production-ready Helm charts from natural language requests, manages active cluster operations with Human-in-the-Loop safety gates, and includes self-healing capabilities for common errors.
View Documentation →AWS Orchestrator Agent
Sophisticated autonomous multi-agent system with 7+ specialized agents that generates enterprise-level AWS Terraform modules. Features deep research analysis (20-25 min per module), A2A protocol integration, and production-ready security compliance.
View Documentation →🔌Available MCP Servers
Helm MCP Server
Full Helm chart lifecycle management with repository operations, release management, values configuration, and rollback capabilities. 18 tools for comprehensive Helm operations.
View Documentation →ArgoCD MCP Server
GitOps-powered continuous deployment with application sync, health monitoring, rollback support, and multi-cluster management. 29 tools for complete ArgoCD control.
View Documentation →Terraform MCP Server
Secure Infrastructure as Code operations with semantic document search, intelligent ingestion, and enterprise-grade execution. Multi-provider AI support with Neo4j integration.
View Documentation →Upcoming Agents
Infrastructure Agent
Provisions and operates resources across any cloud provider. Abstracts away provider-specific complexity (CloudFormation, Terraform, Bicep). Automatically handles scaling, networking, security policies, and cost optimization.
Application Agent
Deploys and manages applications on Kubernetes, bare metal, cloud-native platforms—any infrastructure type. Handles rolling updates, blue-green deployments, canary releases, auto-scaling, and service orchestration. Performs continuous health checks and self-healing.
Monitoring Agent
Orchestrates comprehensive observability for your entire stack. Collects infrastructure metrics, application performance data, and aggregates logs in real-time. Performs distributed tracing, detects anomalies automatically, and generates intelligent dashboards and alerts. Correlates signals across metrics, logs, and traces to identify root causes instantly.
SRE Agent
Automates Site Reliability Engineering practices. Responds to incidents autonomously with intelligent remediation. Tracks SLOs and error budgets. Optimizes performance and resource utilization. Conducts root cause analysis. Reduces operational toil—freeing your team to innovate instead of fighting fires.
Use Cases
Conversational DevOps
Ship faster with intent-based deployments.
- Propose: Agents draft complete CI/CD pipelines from simple commands.
- Approve: Review and merge changes via standard GitOps workflows.
- Audit: Maintain 100% visibility and control over every release.
Intelligent SRE Operations
Resolve incidents before they impact customers.
- Investigate: Agents autonomously root-cause latency and errors.
- Remediate: Execute safe fixes within pre-defined guardrails.
- Escalate: Route critical issues to experts with full context.
Multi-Cloud Command Center
Unify AWS, Azure, and GCP under one control plane.
- Abstract: Define infrastructure once; deploy anywhere without silos.
- Optimize: Cross-cloud analysis for cost, performance, and placement.
- Standardize: Enforce consistent compliance across all your clouds.
Kubernetes Orchestration
Expert-level K8s management via natural language.
- Manage: Autonomously handle pods, resources, and versions.
- Safeguard: Low-risk tasks auto-run; high-risk tasks await approval.
- Deploy: Execute Blue/Green and Canary rollouts with zero downtime.
Compliance Automation
Continuous audit readiness, minimal toil.
- Monitor: Real-time tracking of access, config changes, and logs.
- Collect: Auto-gather evidence from AWS, K8s, and security tools.
- Verify: Have 12 months of audit-proven evidence always ready.
How It Works
Get From Zero to Operational
in Three Phased Steps + Guardrails Built In
Connect Your Clouds
Securely connect your AWS, Azure, and GCP accounts. Configure credentials, IAM policies, and validate compliance.
- Standard Setups: Rapid integration via secure, read-only initial access.
- Regulated Industries: Native support for HIPAA/SOC 2 governance validation.
- Result: Agents gain secure, audited access across all infrastructure.
Deploy Specialized Agents
Roll out specialized agents in phases. Start with read-only observability, then advisory assistants.
- Training: Agents learn your specific cloud patterns, tools, and workflows.
- Gradual Autonomy: Start with routine tasks; progress to complex orchestration.
- Security: Governance and safety checks embedded at every stage.
Start Talking to Your Infrastructure
Command via natural language. Review plans in Git, approve, and let agents execute your intent.
- Routine Ops: Low-risk actions (scaling, restarts) execute with notifications.
- Critical Ops: Deployments and migrations wait for your Git-based approval.
- Collaborative: Human control. Machine efficiency. Fully audited and rollback-able.
Technology
Powered by LangGraph Multi-Agent Architecture
Autonomous Reasoning with Built-In Governance
Conversational AI Engine
Domain-Specialized Conversational AI Engine. Deep learning trained for infrastructure operations.
- Intent Recognition: Parse infrastructure requests.
- Entity Extraction: Identify resources, targets, parameters.
- Context Awareness: Understand multi-cloud environments.
- Safety Validation: Check permissions before execution.
Multi-Agent Framework
LangGraph Multi-Agent Orchestration Framework. Specialized agents collaborate with built-in governance.
- Supervisor directs execution (central coordinator).
- Agents communicate via shared immutable state.
- Each operation is a checkpointed node in a DAG.
- Guardrails (Prevent Harm): Input/Output validation, constraint enforcement.
- Permissions (Control Power): Role-based access, boundaries, approvals.
- Auditability (Ensure Accountability): Decision history, change tracking, rollbacks.
Universal Cloud Integration
Works seamlessly across AWS, Azure, GCP, Kubernetes, bare metal, on-premises.
- Unified API Gateway: Single interface for all clouds.
- Infrastructure-as-Code Layer: Terraform-based abstraction.
- Kubernetes Control Plane: Container orchestration.
- Credential Management: Unified IAM and authentication.
Result: No vendor lock-in. Deploy once, run anywhere with complete control.
Intelligent IaC
Autonomous Execution Through Infrastructure-as-Code
- Multi-agent orchestration layer DECIDES what infrastructure to create.
- Then it VALIDATES through GitOps and EXECUTES via Terraform/CloudFormation.
"The orchestration layer is the hero. IaC generation is supporting infrastructure."
Need Help Getting Started?
Building AI-powered DevOps is complex. Let our experts help you integrate intelligent automation into your existing pipeline—no rip-and-replace required.
DevOps Assessment
Comprehensive audit of your current stack with AI integration roadmap
AI Integration
Custom AI agents built for your specific workflows and tools
Team Enablement
Training and knowledge transfer so your team owns the solution