Komodor

• Agentic AI SRE workflows for investigating, troubleshooting, and resolving cloud-native incidents.
• Kubernetes troubleshooting with unified visibility across clusters, workloads, events, configurations, changes, and operational signals.
• Prebuilt autonomous workflows for incident management, alert hygiene, cost optimization, and AI software operations.
• Custom agent creation and agent importing from frameworks and runtimes such as LangChain, Google ADK, Claude Agent SDK, and AgentCore.
• Centralized agent fleet management with visibility into agent runs, performance, costs, governance, and operational activity.
• Shared memory, organizational context, knowledge graphs, cluster history, and change history for agent workflows.
• Kubernetes and cloud cost optimization with cost allocation, rightsizing, intelligent bin packing, and proactive capacity management.
• Agent governance with role-based access controls, human approvals, spending limits, rate limiting, A2A gating, and destructive-action protection.
• Continuous agent evaluation and optimization covering model selection, prompts, tool usage, quality, performance, and token efficiency.
• Flexible deployment across Komodor Cloud, customer-managed Kubernetes, public cloud, on-premises, and air-gapped environments.

Komodor for Agentic Operations

Komodor is an agentic operations platform designed for organizations running production software across Kubernetes and cloud-native infrastructure. The platform combines AI SRE, cost optimization, software operations, agent management, governance, evaluation, and shared operational context. Its current platform is designed to move beyond isolated AI agents by providing infrastructure for deploying, governing, monitoring, and continuously optimizing autonomous workflows.

AI SRE and Incident Management

Komodor provides AI-driven site reliability engineering capabilities for investigating production incidents and accelerating troubleshooting. Its agentic workflows correlate operational signals and can work across infrastructure information to investigate issues, identify potential causes, and support remediation. The platform includes dedicated incident-management and troubleshooting workflows as part of its AI SRE solution modules.

Kubernetes Troubleshooting

Komodor originally launched as a Kubernetes troubleshooting platform in 2021. Its Kubernetes capabilities provide a unified view of applications, workloads, resources, events, and changes across environments. The platform is designed to help development, DevOps, platform engineering, and SRE teams investigate Kubernetes issues without manually correlating information across multiple tools.

Autonomous Agentic Workflows

Komodor’s current platform packages production-oriented workflows that coordinate multiple agents toward operational outcomes. Its solution modules include incident management and troubleshooting, alert hygiene, Kubernetes cost optimization, and AI software operations. These workflows can be customized for an organization’s environment while operating under shared governance controls.

Agent Creation and Import

Organizations can build agents within Komodor or import agents they have already developed. The platform supports agents and skills created with technologies including LangChain, Google ADK, Claude Agent SDK, and AgentCore. Existing scripts, skills, and runbooks can also be converted into governed agents, allowing teams to extend their existing automation rather than rebuilding everything from scratch.

Agent Fleet Management

Komodor provides centralized management for multiple agents and workflows. Teams can monitor agent runs, operational activity, performance, and cost from a shared control plane. Agents can run in Komodor Cloud, customer-managed environments, cloud infrastructure, or on-premises environments while retaining the same governance and visibility model.

Shared Context and Organizational Memory

The platform provides a shared context layer that includes managed memory, knowledge graphs, cluster history, and change history. This allows different agents to work with common organizational information instead of starting each investigation without knowledge of previous operational context. Komodor describes this shared infrastructure as a foundation for production-grade autonomous operations.

Cloud and Kubernetes Cost Optimization

Komodor provides cost optimization capabilities for Kubernetes and broader cloud-native infrastructure. Features include cost allocation, workload rightsizing, intelligent bin packing, smart headroom management, and proactive capacity analysis. The platform can incorporate actual cloud pricing, discounts, usage-based rates, and custom on-premises unit costs when analyzing infrastructure spending.

Agent Governance and Security

Komodor provides governance controls for agents and their actions. These include role-based access control, human-in-the-loop approvals, spending limits, rate limiting, agent-to-agent gating, destructive-action protection, data-leak protection, and complete auditing of agent actions. Policy gates can allow, redact, block, or hold actions for approval depending on organizational rules.

Agent Evaluation and Optimization

Komodor continuously evaluates agents against defined scenarios and reference standards. Its optimization capabilities examine factors such as model selection, prompts, tool usage, accuracy, performance, and token efficiency. The platform can route simpler tasks to lower-cost models and enforce spending budgets for agents and workflows.

Deployment and Infrastructure Support

Komodor supports different deployment models for organizations with varied infrastructure requirements. Agents can run in Komodor Cloud, customer-managed Kubernetes, public cloud environments, on-premises infrastructure, or air-gapped clusters. The company also states that the control plane can run in a customer’s own VPC or on-premises environment when network or data-residency requirements call for it.

Pricing and Trial

Komodor’s current pricing uses a platform fee combined with AI token usage. Its Starter and Enterprise plans are custom priced rather than displaying fixed public subscription amounts. Organizations can request a 14-day free trial without providing a credit card, and the trial does not automatically renew.

Frequently Asked Questions

What is Komodor?

Komodor is an agentic operations platform combining AI SRE, cloud cost optimization, software operations, agent governance, and production workflow automation.

When did Komodor launch?

Komodor launched in 2021 as a Kubernetes troubleshooting platform after being founded in May 2020.

What is Komodor AI SRE?

Komodor AI SRE uses agentic workflows to investigate incidents, troubleshoot cloud-native infrastructure, and support automated remediation.

Can Komodor manage custom AI agents?

Yes, Komodor allows organizations to build agents within the platform or import existing agents, skills, scripts, and runbooks.

Does Komodor support Kubernetes cost optimization?

Yes, Komodor provides Kubernetes cost allocation, rightsizing, intelligent bin packing, smart headroom management, and proactive capacity optimization.

Does Komodor provide agent governance?

Yes, Komodor provides access controls, approval workflows, spending limits, rate limiting, A2A gating, destructive-action protection, data-leak protection, and auditing.

Does Komodor offer a free trial?

Yes, Komodor offers a 14-day free trial with no credit card requirement and no automatic renewal.

How much does Komodor cost?

Komodor uses custom pricing based on a platform fee and AI token usage, so no fixed public starting price is currently disclosed.

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