Hyground
Also known as: Hyground GmbH
Hyground is a self hosted AI SRE agent for European enterprises that runs from one Helm chart in the customer's cluster on the customer's own models, opens investigations from alerts and schedules, and asks before any write action.
Hyground is a self hosted AI SRE agent built in Hamburg for regulated European enterprises. It installs from one Helm chart into the customer's own Kubernetes cluster (AKS, EKS, GKE, OpenShift or K3s) and runs air gapped if required. The company never receives, stores or proxies the customer's operational data. It works with any model endpoint that speaks the OpenAI compatible API, from Azure OpenAI, Anthropic, Gemini and Bedrock to self hosted models, with model costs paid to the provider.
Alerts from Alertmanager, Grafana, Datadog or PagerDuty open investigations through a webhook, scheduled sessions run recurring checks such as cost reports and CVE triage, and investigations fan out across every cluster. The agent reads live cluster state, the customer's MCP servers and HTTP APIs, and documentation in Confluence, Git and Artifactory, and returns ranked likely causes linked to the log lines, metrics and deploys behind them.
A Tools panel shows every tool call and the exact command run. It is read only by default. Administrators enable write capabilities and choose which need confirmation, and the session owner approves each one on a card showing the full command. Teams capture solved problems as Skills that run the same steps every time. The agent does not keep memories between sessions.
Hyground holds ISO/IEC 27001 certification and sells a flat annual license sized to infrastructure, with no seat charges, credits or usage metering, and a public sandbox.
Vendor details
Canonical URL
https://hyground.ai/
Category
SRE / DevOps agent
Funding status
Hyground raised a 3 million euro pre seed round in March 2026 from Partech, Adesso Ventures, Angel Invest and Plug and Play. It is based in Hamburg, Germany, and was spun out of MaibornWolff.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Hyground installs in Kubernetes (AKS, EKS, GKE, OpenShift, K3s) and takes alerts from Alertmanager, Grafana, Datadog and PagerDuty by webhook. The agent calls the customer's own MCP servers and HTTP APIs, reads Confluence, Git and Artifactory documentation, and fetches allowlisted URLs, with any OpenAI compatible model endpoint.
In practice
Your regulator will not let operational data leave your perimeter. Hyground runs from one Helm chart in your own cluster, air gapped if needed, on your own models.
Monitoring fires at night. The same alert webhook opens a Hyground investigation that returns ranked causes linked to the log lines and deploys behind them.
You want an agent that asks before it changes anything. Hyground is read only by default and shows the full command on a confirmation card before any enabled write runs.
Sources & related URLs
Agentic Index coverage score
10.5 / 14 capabilities · 75%
| Integrations & Tool Calling | Full |
|---|---|
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The agent reaches Kubernetes clusters, the customer's own MCP servers in cluster, custom HTTP APIs with method and path rules, and documentation in Confluence, Git and Artifactory, with access configured by an administrator per connected system and write capabilities enabled explicitly. Sourcedocs.hyground.ai/user-guide/whose-access-the-agent-usesread 2026-09-29 |
|
| Workflow Orchestration | Full |
|
Teams turn procedures into Skills that run the same steps every run, on demand or on schedules, and investigations fan out across every cluster the customer runs. The customer defines the step sequence itself. Sourcehyground.airead 2026-09-29 |
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| Knowledge Grounding & RAG | Partial |
|
The agent reads existing documentation from Confluence, Git repositories, Artifactory and uploaded files alongside live cluster state. There is no maintained index or graph over that knowledge. Sourcehyground.airead 2026-09-29 |
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| Human Oversight & Guardrails | Full |
|
The agent is read only by default. Administrators enable write capabilities and decide which write actions need confirmation, and before running one of those the agent asks through a confirmation card showing the full command, which only the session owner can approve or deny. Sourcedocs.hyground.ai/user-guide/whose-access-the-agent-usesread 2026-09-29 |
|
| Security, Identity & Governance | Full |
|
Hyground holds independently certified ISO/IEC 27001 information security management. Administrators configure the agent's access per connected system and which write actions need confirmation, and private sessions are closed to other users. Hyground does not say how users sign in, and it offers no SSO or user roles. Sourcedocs.hyground.ai/user-guide/whose-access-the-agent-usesread 2026-09-29 |
|
| Observability & Auditability | Full |
|
A Tools panel on each reply lists every tool call, a Show command option reveals exactly what the agent ran, and the tool responses show what each system returned. Every step of the investigation is logged. Sourcedocs.hyground.ai/user-guide/check-the-agents-workread 2026-09-29 |
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| Memory & State Persistence | Not documented |
|
The agent does not retain memories between sessions. It uses recall only when a user points it at earlier work, searching the application's session history. Skills are procedures that people write as instructions for the agent. Sourcedocs.hyground.ai/user-guide/what-the-agent-remembersread 2026-09-29 |
|
| Deployment & Data Residency | Full |
|
Hyground is self hosted from one Helm chart into the customer's own cluster on Kubernetes 1.27+ (AKS, EKS, GKE, OpenShift, K3s), and it can run air gapped. The vendor never receives, stores or proxies the customer's operational data. Sourcehyground.airead 2026-09-29 |
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| Prebuilt Agents / Templates / Packs | Partial |
|
Skills are procedures the customer's teams write and share, turning solved problems into steps others can run, and Hyground describes jobs such as CVE blast radius, RBAC drift and right sizing. The customer assembles these Skills itself, and Hyground ships no skill catalog of its own. Sourcehyground.airead 2026-09-29 |
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| Triggers & Channel Coverage | Full |
|
When the customer's monitoring fires, the same webhook opens an investigation. Alerts from Alertmanager, Grafana, Datadog and PagerDuty start sessions, and scheduled sessions run recurring checks such as cost reports and CVE triage. Sourcehyground.airead 2026-09-29 |
|
| Model Flexibility & Routing | Full |
|
The customer brings its own model, meaning any endpoint speaking the OpenAI compatible API, including Azure OpenAI, OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure AI Foundry, self hosted models and LiteLLM, and pays model costs to the provider. Sourcehyground.airead 2026-09-29 |
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| APIs / SDKs / MCP Extensibility | Partial |
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An inbound alert webhook opens an investigation, which lets outside systems drive the platform. There is no API reference, SDK or Hyground MCP server with a published endpoint and auth. The customer MCP servers and HTTP APIs it connects to are integrations the agent calls. Sourcehyground.airead 2026-09-29 |
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| Testing, Debugging & Optimization | Partial |
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Users rate replies and flag what a reply got wrong, and guidance shows how to check each claim against a tool result. There is no evaluation harness, scored tests or learning loop, and the sandbox is for trying the product. Sourcedocs.hyground.ai/user-guide/check-the-agents-workread 2026-09-29 |
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| Browser / Computer-use | Partial |
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A WebFetch tool fetches allowlisted URLs at run time and converts HTML to Markdown. That is a headless fetch, and the agent drives no browser or desktop. Sourcehyground.airead 2026-09-29 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Recent platform changes
Hyground released Omni, a major 2.0 rearchitecture that transitions the platform from a single-cluster agent model to a unified, multi-cluster AI agent. The update introduces a real-time topology map that allows the agent to reason across up to 20,000 nodes and supports arbitrary workloads such as ECS, virtual machines, and serverless functions.
Bears on: Agent capability
View sourcePricing
Flat annual license priced by infrastructure size; no per seat charges, per investigation credits or usage metering; rate not published
annual license scaled by infrastructure size, with no usage or per seat fees
Cost watchouts
LLM usage is billed by the customer's own model provider, outside the license, and the self hosted deployment runs on the customer's infrastructure; the license grows with infrastructure size.
Variable cost rationale
Explicitly no usage fees and no per seat charges; a flat annual license scaled only by infrastructure size makes cost predictable with minimal variable exposure.
Overage / add-ons
No usage metering; the license is sized to infrastructure
Sales call required
Yes, required for paid access
Free / trial
Public sandbox at sandbox.hyground.ai plus a scheduled demo
Lowest paid plan
Annual infrastructure sized license; rate via sales
Key ambiguities
The pricing model is clearly public (annual license by infrastructure size, no usage or per seat fees), but the specific license rate is not published.
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Alternatives to Hyground
The closest documented capability profiles to Hyground among SRE and DevOps agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Doctor Droid11.5 / 14Adds documented Memory & State Persistence
- Itential11.5 / 14Fuller documented coverage on Prebuilt Agents, Templates & Packs and APIs, SDKs & MCP Extensibility
- NudgeBee11.5 / 14Adds documented Memory & State Persistence
- NeuBird11.0 / 14Adds documented Memory & State Persistence
- Avesha9.5 / 14Adds documented Memory & State PersistenceHyground vs Avesha →
- Bluebricks10.5 / 14Adds documented Memory & State Persistence
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded