chromie.dev vs Gumloop

chromie.dev and Gumloop 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.

chromie.dev

Chromie layers deterministic tool calls on top of an AI agent so the agent reasons about what to do, but structured tools handle the execution — every field fill, every form submission, every DOM interaction. Each invocation is logged with inputs, outputs, latency, and task context, so your compliance team has a replay trail rather than an opaque model decision. Self-healing tools re-resolve broken selectors automatically using fallback chains, so a DOM drift on your payer portal doesn't require an emergency fix. The ceiling appears when you need custom tool logic outside what Chromie ships — teams extending into non-standard workflows have to build or integrate additional tooling themselves.

Gumloop

Gumloop lets growth, sales, and ops teams wire together multi-step AI agents that run on their own — pulling from external APIs, enriching CRM records, drafting content, and firing results into Slack or Teams without a human trigger per run. The visual builder handles the common cases well: lead enrichment, meeting prep, competitive research. Branching logic that depends on what a previous step returned is where the ceiling appears — complex conditional paths push teams toward adding custom code nodes, which means they are now maintaining two layers. Security and compliance teams get enterprise-grade controls over AI usage, which matters when rolling out to non-technical employees at scale.

Attribute	chromie.dev	Gumloop
Pricing	—	Paid
Price	—	Free to $37/month (Pro) or custom enterprise
Free trial	No	No
Open source	No	No
Has API	No	Yes
Self-hosted option	No	Yes
Platforms	Web-based SaaS	Web-based platform with Slack, Microsoft Teams, and email integrations
Released	—	2023
Pros	Deterministic tool calls replace pure model guessing at execution time, so a prior auth form fills the same way on run 1 and run 1,000 — which means the receipt mismatch failures that plague baseline agents stop appearing in production logs. Full execution replay with inputs, outputs, latency, and task context logged per invocation, so compliance audits have a structured record instead of a reconstruction exercise after the fact. Self-healing selector recovery via fallback chains resolves DOM drift automatically, so a payer portal update doesn't cascade into a Monday morning incident for your automation team. Two-path integration model — build new workflows or layer deterministic tools onto existing automation — so teams don't have to discard working pipelines to get reliability guarantees. Runtime skill selection routes the right tool to the right step based on task context, which means the agent isn't applying a form-fill tool to a classification step and producing garbage output.	Autonomous agent execution without a human trigger per run, which means a prospecting workflow can enrich and qualify leads overnight and surface results in Slack by morning without anyone managing it. Provider-agnostic AI model calls inside the canvas, so swapping the underlying model when costs shift or a better option appears does not require rebuilding the workflow. Native Slack and Teams integration at the agent output layer, which means results land where the team already works instead of requiring a separate app check that gets ignored. Self-hosted deployment option, so teams with data residency or compliance requirements can run agents without sending sensitive CRM or customer data to external infrastructure. Non-technical employees can build and modify agents without engineering support, which means ops and marketing teams ship automations without waiting in a sprint queue.
Cons	Custom tool requirements hit the platform ceiling fast: workflows needing logic or integrations outside Chromie's shipped skill set require building extensions, which means you're maintaining a custom layer before the automation is even fully deployed. Pricing is gated behind a demo call with no public tier structure, so teams evaluating cost at scale — comparing per-run or per-seat economics against open-source browser automation stacks — cannot do that analysis without entering a sales process. Teams with strict procurement timelines or open-source mandates move to alternatives like browser-use or Playwright-based agent frameworks at this point. Self-hosted deployment is not available, which means healthcare and pharma teams with data residency requirements or air-gapped infrastructure cannot run Chromie on their own stack — a hard stop for certain regulated environments regardless of how strong the audit trail is.	Conditional branching based on what a prior step returned hits the visual model's practical ceiling around the third or fourth branch — teams handling complex qualification logic or multi-path enrichment add code nodes to compensate, at which point they are debugging two systems instead of one. Agents that need to maintain state across sessions or resume from a mid-pipeline failure require workarounds the canvas does not natively express — teams with reliability-critical pipelines where a failed API call must retry with context intact end up moving those flows to code-first orchestration tools. The free tier caps usage at a fixed monthly credit ceiling, which means any team running high-frequency agents — hourly CRM syncs, real-time lead enrichment at volume — hits the limit quickly and must upgrade or throttle the workflows they just built.

Bottom line

Only Gumloop exposes a public API. Choose based on which difference matters most for your workflow.

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