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Onpilot vs Tsaagan

Onpilot and Tsaagan 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

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.

Tsaagan

Tsaagan

The architecture centers on perception-action-verification loops rather than fire-and-forget scripting, which means each browser action waits for confirmed state before the agent proceeds. Tsaagan ships an MCP server alongside JS and Python SDKs, so agents already wired into those runtimes can call browser actions without building a separate automation layer. It runs on Playwright, native APIs, and a browser extension — giving it reach across sites that block headless fingerprints. The public repo shows 29 commits and three open issues, which signals early-stage software; production teams should expect rough edges and plan to contribute fixes. For simple, authenticated scraping pipelines it earns its place — for high-volume, concurrent agent fleets the maturity ceiling appears quickly.

AttributeOnpilotTsaagan
PricingPaidFree
Free trialNoNo
Open sourceNoYes
Has APIYesYes
Self-hosted optionYesYes
PlatformsBrowser (via Playwright, native, extension)
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.
  • Verify-first action loop confirms each browser state change before the agent proceeds, so silent failures that corrupt downstream pipeline steps are caught at the source rather than hours later in logs.
  • MCP server plus JS and Python SDKs ship together, which means agents in either runtime can call browser actions without writing a custom integration layer from scratch.
  • Runs on Playwright, native browser APIs, and an extension — so it reaches sites that detect and block headless-only fingerprints, where a Playwright-only setup would silently return empty or blocked responses.
  • MIT license with full self-hosting, so there are no usage caps, no API keys that expire mid-run, and no vendor dependency when a paid tier changes its pricing or rate limits.
  • Designed explicitly for agents running tasks in a loop rather than one-shot scripting, which means the tool's primitives match the perception-action pattern your agent expects instead of requiring wrapper logic to adapt a script runner.
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.
  • The repo shows a small commit history and open issues without resolution activity — production teams who hit an undocumented edge case in authenticated navigation will need to debug and patch the source themselves, since community support bandwidth is limited at this stage.
  • Concurrent session scaling is architecturally untested at volume; teams running multiple agents in parallel against the same self-hosted instance will hit stability questions the project has not yet publicly documented or benchmarked, forcing a rewrite around a more battle-hardened automation backend like Browserbase or a managed Playwright grid.
  • There is no cloud-hosted version or managed service, which means every deployment decision — containerization, session isolation, credential handling, observability — falls to the team; for engineering leads without infra bandwidth, this overhead becomes the reason they choose a hosted competitor instead.
Bottom line

Onpilot is paid while Tsaagan is free; Tsaagan is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Onpilot and Tsaagan?

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

Is Onpilot better than Tsaagan?

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.

Onpilot vs Tsaagan: which should I pick?

Pick Onpilot if its pricing model, openness, or platform fit matches your constraints; pick Tsaagan otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.