World's First AI Agent

Experience the future of cloud operations with natural language control. Deploy, manage, and monitor your Kubernetes infrastructure through intelligent conversations.

ZERO-TRUST SECURITY
FULLY OPEN SOURCE
AI-POWERED CONTROL
INTELLIGENT OPERATIONS

Your AI Co-Pilot for Cloud Native

No more 2 AM firefighting. Let our AI agents handle the complexity of cloud operations while you focus on what matters. From instant troubleshooting to automated compliance, we've got your back 24/7.

Real-Time Monitoring & Troubleshooting

Proactive monitoring and intelligent troubleshooting for your cloud infrastructure. Get instant alerts and automated diagnostics when issues arise, even at 2:45 AM.

  • Automated incident response
  • Real-time resource monitoring
  • Intelligent anomaly detection
  • Root cause analysis
AI Command Center • Live Demo
user@skyflo:~$ Check why backend API pods are stuck in Pending state
> Analyzing production namespace... > ALERT: Resource constraint detected > Node resource utilization: worker-1: CPU 92.4%, Memory 88.7% worker-2: CPU 87.2%, Memory 91.3% worker-3: CPU 94.8%, Memory 85.6% > Root cause identified: Insufficient cluster capacity > Recommended actions: 1. Scale cluster horizontally 2. Optimize resource requests 3. Review pod scheduling policies Shall I prepare the remediation plan?
The Future of Cloud Operations

Say Goodbye to 2 AM Firefighting

Experience how Skyflo.ai transforms complex cloud operations into simple conversations. No more late-night panic, just intelligent automation that works.

Incident Response

Traditional Approach

Manual debugging and firefighting

When production issues strike at 2 AM, you're stuck manually running kubectl commands, digging through logs, and piecing together what went wrong from cryptic error messages.

Skyflo.ai Approach

Intelligent automated diagnostics

Simply describe the issue in plain English. Our AI agents automatically gather relevant logs, check resource states, and provide clear explanations with actionable solutions.

Operations

Traditional Approach

Complex command chains and syntax

Managing cloud infrastructure requires memorizing hundreds of commands, flags, and configuration options. One typo can lead to costly mistakes or downtime.

Skyflo.ai Approach

Natural language control

Express your intent in plain English. Our multi-agent system translates your instructions into precise operations, handling all the complex command syntax and validation.

Security

Traditional Approach

Manual security reviews and RBAC

Security often becomes an afterthought during incidents. Rushed commands and temporary privilege escalations create security risks that are hard to track.

Skyflo.ai Approach

Zero-trust with AI validation

Every operation is verified by our AI security agent. Read-only by default, with granular RBAC controls and full audit trails. Security is built into every action.

Troubleshooting

Traditional Approach

Time-consuming investigation

Hours spent correlating logs, events, and metrics across multiple tools and dashboards. Critical time lost during outages trying to piece together what happened.

Skyflo.ai Approach

Instant root cause analysis

Our AI instantly analyzes system state, correlates events, and identifies root causes. Get clear explanations and recommended fixes in seconds, not hours.

Resource Management

Traditional Approach

Manual resource optimization

Constantly monitoring resource usage, manually adjusting limits, and responding to capacity issues. Reactive approach leads to either waste or performance problems.

Skyflo.ai Approach

Proactive AI optimization

AI continuously monitors your infrastructure, predicting resource needs and suggesting optimizations. Automatically prevent resource constraints before they impact production.

Team Collaboration

Traditional Approach

Knowledge silos and handoffs

Critical infrastructure knowledge locked in team members' heads. On-call handoffs and incident response require extensive documentation and tribal knowledge.

Skyflo.ai Approach

Shared AI context

Your entire team works with the same AI that understands your infrastructure. Knowledge is democratized, and anyone can manage operations with confidence.

System Architecture

Built with a state-of-the-art multi-agent architecture powered by AutoGen and LangGraph, designed for secure and scalable cloud native operations.

Engine

Core engine powering the multi-agent system for automating cloud native operations using AutoGen and LangGraph

Python 3.11+, AutoGen, LangGraph, FastAPI

Key Features

Multi-agent System Orchestration
Graph-based Execution Workflow
User Authentication & Conversations
WebSocket Real-time Communication

Multi-Agent System

Planner
Discovery & Plan Creation
Executor
Plan Implementation
Verifier
Validation & Recovery
Powered by Microsoft AutoGen & LangGraph
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Open Source

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Skyflo.ai is open core, with it's core functionality being open source. We believe in the power of community-driven development.

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Weekly Calls

Join our weekly community calls every Thursday at 11 AM PT to discuss the roadmap, features, and more.

Next CallThursday, 11 AM PT
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