Boring AgentOps.
Reliable. Predictable. Observable. The unglamorous platform layer your AI agents need to survive production — open-core, Kubernetes-native.
| Backed by
95% of AI Pilots Never Reach Production.
Here's Why.
The Demo Works. Deployment Doesn't.
Your AI team builds impressive prototypes. Then they hand it off and nobody knows how to deploy it, scale it, or monitor it. That's the gap we close.
cite integration as the #1 barrier — McKinsey 2025Perception vs. Reality.
79% of executives perceive AI productivity gains. Only 29% can actually measure ROI. Without measurement infrastructure, you can't prove it works — and what you can't prove, you can't scale.
perceive gains they can't measure — MIT Sloan 2025Stuck in Experimentation.
Nearly half of enterprises can't operationalize even their successful proofs of concept. The pilot works. The infrastructure to run it in production doesn't exist.
of enterprises unable to operationalize — McKinsey 2025Everything You Need. Anywhere You Want It.
Runtime, testing, deployment, and observability — on any Kubernetes cluster you already run
Omnia OSS
The Control Plane
Stop hand-coding deployment pipelines, session storage, and provider failover. Omnia handles the production plumbing so you can focus on agent logic.
- Multi-provider routing and failover
- Session persistence across restarts
- Cost tracking per agent, per conversation
- Policy enforcement and audit logging
PromptKit OSS
High-Performance Agent Runtime
Go-native runtime — tiny footprint, real concurrency, no GIL. Declarative agent configuration, gRPC streaming, native voice, and horizontal scale on K8s.
- Declarative agent definition
- All major LLMs incl. Bedrock, Vertex, Azure Foundry
- Voice & multimodal native
- Go concurrency, not Python threads
PromptArena OSS
Test, Build & Deploy
Test agents before your customers find the edge cases. Build and validate PromptPacks. Then deploy fully functioning agents to Omnia, AWS AgentCore, or other platforms.
- Distributed load testing & eval
- PromptPack creation & validation
- Deploy to Omnia, AgentCore & more
- JUnit XML for CI/CD quality gates
PromptPack OSS
Portable Agent Packages
Dockerfile for AI agents. Package prompts, tools, and config independently of framework, so you can version, share, and redeploy without rewriting.
- Runtime-independent packaging
- OCI registry compatible
- Version, diff, and rollback
- Open spec at promptpack.org
Product Screenshots
Know What Your Agents Are Doing. Prove That It's Working.
Every agent, every session, every dollar — in one place. Real-time session counts, per-provider cost attribution, and policy enforcement status. No jumping between dashboards.
Traces that actually make sense.
OpenTelemetry traces across LLM calls, tool invocations, and conversation turns. See exactly why an agent made a decision, which provider served it, and what it cost — down to the token.
Test before your customers do.
Run hundreds of eval scenarios across models and prompt versions. Arena gives you a quality gate — agents don't ship to production until they pass. CI/CD native via JUnit XML.
Built for the Teams That Run Production
Your AI team builds the demos. You get the 2am pages. Omnia gives platform engineers the control they need to run AI agents the way they run everything else.
Self-hosted. Full stop.
Not an Enterprise-tier upsell. Self-hosted is the default. Your cluster, your data, your rules.
Any framework. We don't care.
LangChain today, CrewAI tomorrow, custom Go next quarter. Omnia runs them all. Your agents, your choice.
Production ops, not demo ops
3-tier session storage, policy enforcement, cost attribution, audit logging. The boring stuff that keeps you out of incident channels.
Everything you need. Nothing clever.
The production-boring stack, already wired up. Already have one of the pieces? Swap it in.
| What You Get | How It Works | Tier |
|---|---|---|
| Deploy agents to production | Helm install, kubectl apply — your cluster, your cloud | OSS |
| Connect agents to internal systems | Agents reach your databases, APIs, and intranets directly — no SaaS middleman, no firewall holes, no data leaving your perimeter | OSS |
| Track cost per conversation | Per-agent, per-session, per-provider cost attribution in real time | OSS |
| Evaluate agent quality | Real-time performance monitoring and batch analysis against stored conversations | OSS |
| Test before customers see it | Load testing, multi-turn eval scenarios, and quality gates in your CI/CD pipeline | OSS |
| Multimodal conversations | Two-way audio/video streaming, voice, images, and documents — not just text | OSS |
| Trace every decision | Full conversation observability — every LLM call, tool use, and escalation | OSS |
| Enforce policies and guardrails | Control what agents can do, who can deploy them, and what data they touch | EE |
| Audit trail for compliance | Immutable, partitioned logs for regulated industries | EE |
| Stream to your data platform | Real-time export to Snowflake, BigQuery, Kafka, and more | EE |
OSS = open source, Apache 2.0. EE = enterprise license. All products are fully open source. Enterprise adds audit, encryption, and data export to Omnia.
Built in the open.
Apache 2.0. Kubernetes-native. Written to be read. We'd rather hear about a bad abstraction in a GitHub issue than discover it in someone's rollback.
Source
All four projects — Omnia, PromptKit, PromptArena, PromptPack — on GitHub.
github.com/AltairaLabs →Docs
Architecture, tutorials, operator guides, CRD reference. Read before you install.
omnia.altairalabs.ai →Good first issues
Scoped work with context. Pair programming on hard ones if you want it.
Find one to pick up →# Clone the control plane
git clone https://github.com/AltairaLabs/Omnia
# Install into your cluster
helm install omnia ./Omnia/deploy/helm
# Deploy your first agent
kubectl apply -f examples/hello-agent.yaml Design Partner Program — open.
We're pre-launch. No customer logos yet. Instead of a sales cycle, we're working directly with 3–5 teams to build the production credibility together — hands-on, preferential terms, founder on the line.
Your cluster is ready. Your agents should be too.
The open-source core gets you to production. Enterprise and consulting get you to scale. Start with a Helm install — we'll meet you where you are.