Your AI Operator.
Monitors. Explains. Acts.
Smartunit Operator follows live work across events, tools, memory, and approvals. Ask what changed, see why, then approve what happens next.
From Flow to Agent in
Three Steps
Start where your work already happens. Define your agent, connect a model and tools, then run the flow and inspect every step in Studio.
Define Your Agent
Start with a workflow in Smartunit. Define what your agent should do, what triggers it, and the memory and budget limits it should follow.
"When an incident arrives, review the context and suggest the next action."
Connect Model and Tools
Choose the AI model, write the agent instructions, and expose your existing flows as tools the agent can call when it needs data or action.
Run and Inspect
Send a message, trigger the flow, or schedule a run. Studio shows the session timeline, tool calls, memory updates, alerts, usage, cost, and final response.
"Explain this event, check the latest data, and summarize what changed."
Built for
Live Operations
Smartunit Operator connects agents to your operational workflows, where they can use your flows, remember context, call tools, and show every run in Studio.
Connect to Your Work
Connect the workflows and systems you already use. Let the agent reach APIs, databases, files, webhooks, notifications, industrial protocols, and internal tools through Smartunit.
Run Close to the Data
Keep the runtime in your Smartunit environment. Point it at the AI provider you trust, from a hosted model to a local or controlled endpoint.
Ask With Context
Ask what happened, what changed, or what to check next. The agent can use conversation history, saved facts, tool results, and live flow data to produce a useful answer.
Act Through Tools
Turn existing flows into agent tools. The agent can call named actions with parameters, then the connected workflow handles the actual work: lookups, diagnostics, messages, tickets, or downstream automation.
Monitor Runs
Trigger agents from schedules, events, buttons, or incoming messages. Studio shows sessions, alerts, token use, cost, and activity so you can see what is running and what needs attention.
Inspect Every Step
Open a session and follow the timeline: user request, agent thinking, tool calls, tool responses, memory reads and writes, usage, warnings, and final response.
Free and Custom Agent Flows
Start freely, or tell us the workflow and we will build an agent flow that fits it.
Community
Start building useful agents with Smartunit for free.
- Build agents as visual workflows
- Connect the AI model you prefer
- Let agents call your existing flows as tools
- Remember useful facts between sessions
- See what happened during each run
- Set token or spend limits
Custom
Tell us the workflow and we will build the agent flow for you.
- Turn your workflow into an agent flow
- Connect your tools, data, and systems
- Choose the right model and guardrails
- Set up dashboards for runs, memory, and alerts
- Track usage, cost, and agent activity
- Tune it with your team after launch
Frequently Asked Questions
Common questions from builders, automation teams, operations leaders, and IT managers.
Smartunit Operator is a platform for building and operating AI agents in live workflows. Agents can call an LLM, use connected tools, keep memory, emit events, and track usage. AI Agent Studio gives your team a dashboard for agents, sessions, events, memory, alerts, and costs.
The free Community plan gives you the building blocks for agents, inputs, skills, models, connections, behaviour, memory, and budgets. You can build multi-step agents, connect OpenAI-compatible models, expose workflows as callable tools, store facts and events, choose context modes, and set token or spend caps.
Studio makes the runtime visible. It shows a multi-agent dashboard, agent flow canvas, session and event explorer, memory browser, alerts, token usage, and cost totals. It is the place to inspect what the agent did, which tools it called, what it remembered, and where errors or warnings happened.
The runtime connects to OpenAI-compatible APIs. That can be OpenAI, OpenRouter, compatible hosted providers, or a local endpoint such as Ollama if it exposes the right API shape. You configure the base URL, API key, primary model, optional summary model, and temperature.
Tools are built as skills in Smartunit. A skill defines actions, descriptions, parameters, and outputs, then the agent can call those actions during a run. Skills connect your agent to APIs, databases, files, webhooks, industrial protocols, notifications, or internal systems through your workflows.
The agent can store facts and append event logs in Smartunit datastores. Memory can be scoped to a session or a user, and history can run as full conversation, rolling summary, last N messages, or stateless mode. Studio lets you inspect memory records and the event timeline for each session.
The runtime runs inside your Smartunit environment, but model requests go to whichever LLM endpoint you configure. For private deployments you can point it at a local or controlled provider; for cloud models, the data sent depends on your prompts, tools, memory settings, and provider policy.
We are not offering packaged paid plans right now. You can start with the free Community plan. For custom work, tell us the workflow, tools, data sources, and model setup you need, and we will build the agent flow and Studio setup around it.
Yes. We can start with one focused workflow, such as incident explanation, event triage, shift summaries, or human-approved actions, then tune the agent flow around the result.