Sie bauen Ihren eigenen Agenten für die Incident-Behebung?

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Sie bauen Ihren eigenen Agenten für die Incident-Behebung?

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Worauf Sie dabei achten sollten.

Sie bauen Ihren eigenen Agenten für die Incident-Behebung?

→

Worauf Sie dabei achten sollten.

Hyground vs.

Robusta / HolmesGPT

Hyground vs Dash0

Hyground vs Robusta / HolmesGPT: governed AI operations inside your own cluster

HolmesGPT is an open-source investigation agent: read-only, LLM-agnostic, with an optional SaaS platform from Robusta for history and change tracking. Hyground runs on the same architecture (in-cluster, bring your own LLM, read-first by default) and ships it as a governed, supported platform, which means one central gateway with platform-level credential management and a full audit trail, plus workflow automation across your operations.

Ein fairer Start

HolmesGPT is a CNCF Sandbox project, created by Robusta, with Microsoft contributing. It runs an agentic loop over your observability toolsets, stays read-only, and respects RBAC. You can run it as a CLI, as an HTTP API, or as an in-cluster operator, and the Operator mode works in the background: it schedules recurring health checks and opens pull requests to fix what it finds. The richer history, change tracking, and dashboards sit in Robusta's SaaS platform. Hyground takes the same stance, in-cluster, bring your own LLM, read-first. What it adds is governance: one gateway, credentials managed at platform level rather than on laptops, an audit trail of every AI interaction, and supported connectors across your observability tools and your ITSM tools.

Seite bei Seite

Hyground vs.

Robusta / HolmesGPT

auf einen Blick

Was eine Rolle spielt

Hyground

Robusta / HolmesGPT

Where it runs

In your own infrastructure: any conformant Kubernetes cluster, in your own cloud or on-premises, up to fully air-gapped.

In your own cluster, as a CLI, as an HTTP API, or as an operator. History and dashboards live in Robusta's SaaS platform.

What you operate

A supported product with vendor support and a published version-support policy.

An open-source project that you host, integrate, and operate yourself.

Governance and audit

One in-cluster gateway, credentials managed at platform level, and a full audit trail of every AI interaction.

Kubernetes RBAC per service account. You build cross-tool governance and a unified audit trail yourself.

LLM choice

Any LLM provider, through LiteLLM: cloud models in your own tenant, self-hosted models, or any OpenAI-compatible API. No fixed list.

Anthropic, Amazon Bedrock, Azure AI Foundry, Gemini, Google Vertex AI, OpenAI, Ollama, or a LiteLLM proxy.

Recurring and background work

Scheduled investigations, cron or one-time, and reusable skills. Every run goes through the same gateway and the same audit trail.

Operator mode runs in the background, schedules health checks through a Kubernetes resource, and drafts pull requests with fixes.

ITSM and connectors

Supported Jira and ServiceNow connectors with gated write-back: Jira issues and comments, ServiceNow incident comments.

Alerts from PagerDuty, OpsGenie, and Jira with findings written back, through the CLI. ServiceNow read toolset. Jira via Atlassian Rovo MCP.

Certification

ISO/IEC 27001:2022 certified.

A CNCF Sandbox project. Robusta states SOC 2 compliance for its own platform.

License and cost

Priced on infrastructure size, not seats. Quote on request.

Free, under the Apache 2.0 license. Robusta quotes its platform per customer.

Zum Vergleichen wischen

Warum Teams Hyground wählen

Wo sich Hyground unterscheidet

Productized and supported, not assembled

Hyground ships as a supported enterprise product with vendor support and a published version-support policy. HolmesGPT is an open-source project that you host and operate yourself, or you adopt Robusta's SaaS platform for the additional features.

One gateway, platform-level credentials, full audit trail

Hyground routes every tool call through a single in-cluster gateway. Credentials are managed at platform level, not scattered across developer laptops, and every AI interaction is logged and auditable. HolmesGPT inherits Kubernetes RBAC per service account. Governance across tools is left to you or to Robusta's platform. One audit trail that covers those tools is also left to you or to Robusta's platform.

What you can put on a schedule

Both products run work on a schedule, and what they schedule is not the same thing. HolmesGPT schedules health checks: a Kubernetes resource runs a defined check on a cron, with triggered checks and deployment verification alongside it. Hyground schedules a full investigation, cron or one-time, with the same agents and the same reach as an interactive one, and every run goes through the same gateway, credentials and audit trail. A recurring check tells you whether something is wrong. A recurring investigation tells you why.

Supported ITSM connectors with gated write-back

Hyground ships first-party Jira and ServiceNow connectors and supports them. Writes are limited and gated: Jira issues and comments, ServiceNow incident comments, each behind an explicit configuration flag. HolmesGPT integrates many toolsets that you configure and maintain yourself.

Shared strengths, kept

Both products are LLM-agnostic. Hyground connects to any provider through LiteLLM, including self-hosted models and any OpenAI-compatible API, with automatic fallback across a model list. HolmesGPT supports the major cloud providers, Ollama, and a LiteLLM proxy. HolmesGPT is read-only by design. Hyground is read-first: adapters default to read-only and verify it at startup, and the few writes that exist are gated behind explicit configuration. Full feature depth on Hyground requires a state-of-the-art model.

Ready for procurement and compliance

Hyground is ISO/IEC 27001:2022 certified. Hyground is built for enterprise procurement, with sovereignty options, an audit trail, and vendor support. An open-source agent plus a SaaS add-on is a different acquisition model and a different accountability model.

ENTSCHEIDUNG

Wann welche Plattform passt

HolmesGPT and Hyground share an architecture. They sit at different points on the build-versus-buy line: HolmesGPT is an open-source agent, and Hyground is a governed platform.

Wählen Sie Hyground wenn

You want the in-cluster, bring-your-own-LLM, read-first approach, and you want it as a supported platform, with an audit trail, ITSM connectors, workflow automation, and procurement-ready compliance.

Wählen Sie

Robusta / HolmesGPT

wenn

You want a free, open-source troubleshooting agent, you have the team to run it and integrate it, and you are willing to add Robusta's SaaS platform for the history and change tracking.