Onpilot vs Qpilot

Onpilot and Qpilot are both workflow automation tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Onpilot

The platform connects agents to ERP, CRM, support tools, and custom APIs, then layers in approval steps, permission scopes, and audit logs so the agent cannot act unilaterally on sensitive operations. Agents can search, reason, take action, and hand off to a human — the approval step pauses execution and sends an interactive Slack message before anything ships. Multi-tenant architecture means a single deployment can serve isolated customer or plant workspaces with per-tenant access control. Where it breaks: Onpilot is a custom-built, consultative engagement, not a self-serve platform you configure over a weekend — teams without clear workflow documentation will stall during scoping.

Qpilot

You paste a test case written the way you'd explain it to a colleague, run a single npx command, and the agent opens Chrome, navigates, clicks, and fills forms step by step. Each step returns a pass, fail, or warn in real time, with screenshots captured on failure so you don't have to reproduce it manually. The agent pauses and prompts you when it hits an OTP or anything requiring live credentials, then continues — so you stay in the loop without babysitting the whole run. The ceiling appears fast on headless CI environments and parallel test execution, because the architecture requires a local Chrome instance and an Anthropic API key, both of which add cost and coordination overhead at scale.

Attribute	Onpilot	Qpilot
Pricing	Paid	Free
Free trial	No	No
Open source	No	Yes
Has API	Yes	No
Self-hosted option	Yes	Yes
Platforms	—	Node.js, Chrome
Pros	Approval gates pause agent execution and collect explicit sign-off via Slack before sensitive actions dispatch, so your operations team stays in control of decisions that cost money or trigger downtime — without building that logic themselves. Per-tenant workspace isolation with SSO and SCIM support means a single Onpilot deployment can serve multiple plants or customers with no data bleed between tenants, which removes the need to stand up separate infrastructure per client. Agents connect to custom APIs and OpenAPI-described tools alongside named integrations, so a workflow that spans SAP, a bespoke MES, and a third-party quality system does not require the vendor to have a pre-built connector for each one. White-label embedding lets SaaS or internal dashboard teams surface agents under their own product interface, so end users never interact with a third-party tool and the agent feels native to the existing workspace. Audit logs capture every agent action with run counts, error rates, token usage, and the user who triggered each workflow — which means compliance and incident review have a traceable record rather than a black box.	Plain-text test input with no required format, so a QA engineer or product manager can write a test case without touching a framework or learning selector syntax — avoiding the bottleneck where only engineers can author automation. Dynamic UI navigation without stored selectors, which means a frontend redesign doesn't invalidate your tests the way it would in a Selenium or Playwright suite built on XPaths. Per-step pass/fail/warn results with failure screenshots, so you get a debuggable audit trail without writing any assertion or screenshot logic yourself. OTP-aware execution that pauses and prompts rather than failing silently, so two-factor flows don't become a hard blocker for automated testing. Open-source with self-hosted execution, which means your test inputs and credentials never leave your machine — no data routed through a third-party testing platform.
Cons	There is no self-serve trial or sandbox: getting an agent running requires joining a waitlist and going through a consultative scoping engagement. Teams that need to validate fit before committing engineering time to a vendor process cannot do that here — they go to a no-code builder like Zapier or a self-hosted framework like n8n instead. The on-premise option is documented as available but no self-service deployment path or container image is published. Infrastructure teams that require air-gapped installation on their own timeline will be dependent on Onpilot's delivery schedule, not their own. Because the agent configuration is built by Onpilot engineers rather than your team, iteration cycles — adding a new escalation rule, adjusting an approval chain — run through the vendor. Teams with fast-changing operational policies will accumulate a backlog of change requests they cannot resolve independently.	Execution requires a headed Chrome instance and a local Node.js environment, so running tests in a standard headless CI container is not supported out of the box — teams needing pipeline integration have to provision a display server or move to a different tool entirely. Every test run calls the Anthropic API to interpret steps, meaning API costs scale directly with test volume — teams running hundreds of tests daily will hit a per-run cost structure that makes a flat-rate testing platform cheaper, which is the condition under which teams switch to Playwright Cloud or a managed provider. No built-in test suite management, scheduling, or reporting beyond per-run output — teams that need a dashboard, historical trend tracking, or flakiness detection have to wire those themselves or accept that qpilot is a run-and-check tool, not a test platform.

Bottom line

Onpilot is paid while Qpilot is free; Qpilot is open source; only Onpilot exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Onpilot and Qpilot?

Onpilot is Paid, while Qpilot is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Onpilot better than Qpilot?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.