Komodor Launches Platform for Building and Governing AI Agents

Komodor expands beyond AI SRE with agent platform

Komodor has launched an Agentic Operations Platform that combines pre-built automation workflows with infrastructure for organizations to build, deploy, and govern their own AI agents, according to details first reported by the company.

The platform addresses a growing operational challenge: as coding agents help teams ship software faster, they also generate more incidents, support requests, and maintenance tasks. A recent survey found that 60% of senior enterprise leaders are deploying agents in production, but Gartner projects more than 40% of agentic AI initiatives will be decommissioned by 2027 due to governance gaps, unclear ROI, or escalating costs.

Ready-to-run workflows for immediate value

The platform ships with over 50 pre-built specialist agents organized into solution workflows across three categories: AI SRE (troubleshooting, incident management, alert intelligence), Cost Optimization (cloud, observability, and Kubernetes cost reduction), and AI Software Operations (change intelligence, CI/CD health, production readiness).

These workflows are fully configurable, allowing teams to add or remove steps, adjust routing, and integrate their own agents to match specific production requirements.

Infrastructure for custom agent development

Beyond pre-built solutions, the platform provides a complete backbone for custom agent development. Organizations can convert existing scripts or runbooks into governed agents, import agents built with third-party frameworks, or build new ones using Komodor's SDK.

All agents—whether built by Komodor or customers—operate under unified governance controls. Role-based policies define invocation permissions and credential access. Guardrails check inputs, tool calls, and model responses before agents act, while risky actions require human approval. Spending limits and audit trails help platform teams manage costs and review agent behavior.

"The hardest part of running agentic operations in production is not building the agents," said Itiel Shwartz, Co-Founder and CTO of Komodor. "It is keeping every agent grounded in the right context, giving it memory that persists across incidents, ensuring that accuracy improves rather than degrades, and securing every run."

Continuous evaluation and optimization

Komodor continuously evaluates both its own agents and customer-built agents against validated scenarios and production outcomes. Teams can shadow-test new versions, compare performance, and route tasks to appropriate models before promoting changes. This approach aims to improve quality, reliability, and cost as agent deployments scale.

Agents can run on-premise or in any cloud environment, using any model and provider. Each agent accesses the same organizational context, persistent memory, and knowledge graphs that Komodor developed for its AI SRE platform over five years.

Why it matters

The platform reflects a broader shift in enterprise AI strategy: organizations increasingly need both vendor-provided solutions and the flexibility to build custom automation for specific workflows. By offering both pre-built agents and governed infrastructure for custom development, Komodor is positioning itself at the intersection of "build versus buy"—acknowledging that most enterprises will do both. The emphasis on unified governance addresses a critical gap that Gartner identifies as a primary reason for agent initiative failures.

Enterprise adoption and availability

Komodor's existing AI SRE platform serves organizations including Nebius, Dell, Cisco, and Prudential. The company has raised $90 million in venture funding and claims its customers deploy autonomous agents up to 10 times faster with reduced risk.

The Agentic Operations Platform is available now through Komodor and its business partners worldwide. Additional details were announced by Komodor on September 16, 2026.