Ship AI agents your team can actually trust in production.
Mirov Labs is the control plane for AI agents — build them visually or in code, trace every decision they make, and set guardrails before they ever touch production data. As a startup ourselves, we built this because our own team kept shipping agents nobody could debug six months later.
Beta
Current stage
14 days
Avg. prototype to governed agent
100%
Tool calls traced by default
Kathmandu
Where we build
A visual canvas when you want it, raw code when you don't
Most agent frameworks make you pick a side. Mirov doesn't: sketch a workflow on the canvas and export it as typed Python or TypeScript, or write the agent by hand and watch it render on the canvas automatically. Either way you get the same runtime underneath — no rewrite when the prototype becomes a real workflow.
- Drag-and-drop canvas that exports to real, readable code
- Native tool-calling for your APIs, databases, and internal services
- Versioned agents — roll back a bad prompt change in one click
See exactly what an agent did, and what it cost
When an agent takes a wrong action, "the model hallucinated" is rarely the full story — usually a tool call returned something unexpected three steps earlier. Mirov traces every plan, tool call, and token your agents produce, laid out as a timeline you can replay step by step, with cost and latency attached to each span.
- Full trace of every LLM call, tool call, and memory read
- Cost and latency per span, rolled up per agent and per customer
- Replay any run against a new prompt or model before shipping it
Guardrails before an agent ever touches production data
Autonomy is the whole point of an agent, but unlimited autonomy is how a support bot ends up issuing a $4,000 refund. Mirov lets platform teams set policy centrally — spend limits, approval thresholds, tool allow-lists — while the builders of each agent stay focused on what it does, not on re-implementing the same safety checks every time.
- Spend limits and human-approval thresholds, enforced at the runtime level
- Per-agent tool allow-lists, so a support agent can't touch your billing system
- A full audit log of every decision, exportable for compliance review
Guardrails · refund-agent
Every agent gets better the longer it runs
Mirov turns every production run into a reusable test case. A failed trace becomes an eval, a near-miss becomes a new guardrail, and the next version of the agent ships against the exact scenario that broke the last one — deploy, observe, and improve, on a loop that doesn't need a human to drive it every time.
improves
every cycle
What early-access teams are saying
We had three different agent prototypes from three different hackathons, none of which anyone trusted enough to ship. Mirov gave us one place to actually govern them.
Priya Sharma
Engineering lead, early-access team
The trace view is the first time I've been able to show a non-technical stakeholder exactly why an agent made a decision, step by step, without reading logs.
Daniel Ortiz
Platform engineer, early-access team
Tell us what you're automating.
Book a 20-minute call and we'll walk through your use case live on the platform — no slide deck. Free for teams running under 5 agents during our beta.
Book a demo