Mesh & policy
- Istio service mesh
- mTLS everywhere
- Kyverno — hard K8s policy guardrails
Where it fits
How OpenAgentic compares
The agentic-ops category has arrived — Komodor's Klaudia, Resolve.ai, Cleric, NeuBird and others ship good software. Most of it is also the same shape: a multi-tenant SaaS you rent, running in the vendor's cloud, reaching into your systems as a shared service account. OpenAgentic is built the other way around — and AgenticWork is the same architecture leveled up for the enterprise. Here is the difference, three ways — including where OpenAgentic is not the right tool.
| Dimension | Typical agentic-ops SaaS | ⌥ OpenAgenticself-hosted · free | AgenticWorkenterprise |
|---|---|---|---|
| Where it runs | Vendor's cloud (a few offer on-prem) | Your box · your cluster · fully air-gapped | Managed SaaS or white-glove on your infra · multi-region fleets |
| The model | Theirs, or a short "approved" list | Any — Ollama · Bedrock · Vertex · Azure · OpenAI | Any, plus managed routing & a curated, governed model catalog |
| Identity | A shared service-account bot | Local admin account — single-operator auth; cloud tools use the credentials you configure | Per-user identity — SSO + on-behalf-of across IdPs (Entra · AWS IAM Identity Center · Google Workspace) + SCIM, so every action names a person |
| Your data | Flows through their servers | Never leaves your boundary | Your boundary, or a managed enclave — your call, + DLP scanning |
| FedRAMP-High path | Via a vendor gov cloud you send data to | Designed-for, inside your own boundary | The full compliance envelope — cryptographic audit chain + FedRAMP-aligned posture |
| Surface | Often one job (e.g. K8s triage) | Chat · Flows · Code over your stack | + Fleet & Mission orchestration · multi-tenancy · curated use-case catalog |
| Price | Per-seat · per-investigation | Free to self-host — pay your model provider, no one else | Commercial — managed SaaS, on-prem licensing, or white-glove + SLAs |
Explore Gnomus — SSO, DLP, cryptographic audit, Fleet & Mission, SLAs ↗
The full production stack a regulated ATO demands.
Self-hosted OpenAgentic gets you running. Gnomus wraps the same platform in the hardened, HA infrastructure required to operate in a FedRAMP High, heavily-regulated ATO environment on Azure, AWS, or GCP — engineered to meet that bar, deployed and managed for you.
Secrets & encryption
- Vault + External Secrets Operator
- End-to-end encryption in transit & at rest
Observability
- Mimir · Prometheus · Loki
- OpenTelemetry collectors
- GenAI OTel — full LLM telemetry, in-boundary
HA data layer
- HA pgvector · HA Redis
- GPU MinIO HA object store
- Cloud storage integration
Delivery & lifecycle
- GitOps managing its own lifecycle
- Reproducible, policy-gated rollouts
Target environment
- FedRAMP High · NIST 800-53 high-impact
- ATO-grade on Azure · AWS · GCP
A design target the platform is engineered to satisfy — not an authorization it holds; compliance is a property of a specific deployment and its authorizing body. See Gnomus ↗
Who it's for
- Hands-on engineers — CloudOps, AIOps, SRE, platform — who've done this for years and want to be up and running in five minutes on a platform that works.
- Regulated, high-assurance, or air-gapped teams where data and identity cannot leave the boundary.
- Teams that want to run any model — a local floor model, a frontier API, or both — and never be locked to one vendor.
- Teams that need every agent action attributable to a real person, with a tamper-evident audit trail.
- Cost-conscious teams that want to own the high-volume inference floor and rent the frontier only when it earns it.
Who it's not for
- Teams that want a fully-managed, zero-ops experience rather than running infrastructure — that's exactly what Gnomus is for: the same platform delivered as managed SaaS when your org wants it, or a white-glove monthly / yearly engagement where we run and operate it for you.
- Teams whose only need is Kubernetes incident triage — a focused tool like Komodor may get you there faster.
- Teams without the platform-engineering capacity to operate a self-hosted stack today.
OpenAgentic wasn't born in a demo. It is the distillation of years spent operating real agents in some of the most demanding, tightly-regulated environments there are — where nothing leaves the boundary, every action has to name a human, and "it works on my machine" is not a standard anyone accepts. We took what that taught us and made it something anyone can run.