Vessel VS ViewForge

Vessel's answer

• GCP Compute Engine (dedicated VMs per agent)
• Cloudflare Tunnels (encrypted inbound, no public IP)
• OpenClaw (open-source AI agent runtime, MIT license)
• Next.js 14 App Router (dashboard, GCP Cloud Run)
• Express.js (API layer, GCP Cloud Run)
• Supabase Postgres (database and auth)
• GCP Cloud Build (CI/CD)

ViewForge's answer:

• TypeScript
• Shopify metaobjects, as the fitment data store
• Shopify theme app extensions for the storefront components: fitment search, saved-vehicle garage, compatibility table, product-page fit notice
• Shopify Storefront API, for querying fitment from the theme
• Shopify Admin GraphQL API, for writing and exporting fitment records
• NHTSA vehicle database, for VIN decoding
• ACES and PIES XML parsing, for automotive catalog import

Vessel's answer

Vessel is managed hosting for OpenClaw built around privacy and security first. Most OpenClaw hosting providers share containers or expose default ports. Vessel gives every agent its own dedicated GCP VM: its own kernel, its own disk, no shared memory with other tenants. No public IP. No exposed port 18789. All inbound traffic routes through an encrypted Cloudflare Tunnel. 300,000+ self-hosted OpenClaw instances are currently exposed on the public internet. Vessel makes secure, isolated deployment the default.

ViewForge's answer:

Three things. (1) Data ownership: ViewForge writes fitment as Shopify metaobjects native to your store — most competitors store fitment in their own database. (2) 8 verticals out of the box: auto, motorcycle, tractor, marine, power equipment, bicycle, printer, electronics — most competitors are automotive-only. (3) Smart Parse: extract fitment automatically from your existing product titles and descriptions instead of re-typing everything.

Vessel's answer

Most OpenClaw hosting alternatives use shared containers or expose the default port 18789 publicly. When your agent handles client data, credentials, and sensitive correspondence, shared infrastructure introduces risks that are hard to audit and harder to explain to clients. Vessel provides kernel-level isolation per agent, Cloudflare Tunnel inbound (zero port exposure), and full lifecycle management from a web dashboard: no server configuration required.

ViewForge's answer:

Data ownership. Fitment lives in your Shopify metaobjects, so uninstalling does not take your compatibility data with it. Convermax, EasySearch and PartFinder all keep it in their own databases, and getting it back depends on their export tooling on the day you cancel.

Cost at the low end. The search widget, the compatibility table on the product page and the saved-vehicle garage are all on the free tier, up to 50 products, with no expiry. EasySearch puts the table and the garage behind its $75/month Premium plan. Convermax starts at $250/month.

Automotive and non-automotive coverage. Eight built-in templates, and fully custom templates from $19/month, for catalogs that do not decompose into Year/Make/Model at all.

Vessel's answer

Founders, marketers, lawyers, accountants, and professionals who run OpenClaw AI agents for serious work: client research, financial data, sensitive correspondence, automated workflows that touch real accounts. They need their agent to be always-on and private, but they are not infrastructure engineers and do not want to become one. Vessel is for people who want to use OpenClaw and need a trustworthy place to run it.

ViewForge's answer:

Shopify merchants whose customers need to know whether a part fits before they will buy it — and who do not have an engineer on staff to build that themselves.

Concretely: auto and truck parts retailers, powersports and motorcycle dealers, tractor and agricultural parts sellers, marine and outboard suppliers, small-engine and power equipment stores, bicycle and e-bike component shops, printer supply merchants, and electronics accessory sellers.

Catalog sizes run from a few dozen products on the free tier up into the tens of thousands; it is running in production on a catalog of roughly 40,000 SKUs. The common thread is not the industry — it is that "does this fit my thing" is the question deciding the sale.

Vessel's answer

When OpenClaw launched in late 2025, it introduced something genuinely new: a persistent AI agent runtime that connects to the platforms professionals actually use and runs around the clock. What it lacked was production-grade infrastructure. The default setup exposes port 18789 publicly and leaves users to sort out tunnels, secrets, and isolation themselves. 300,000+ instances ended up exposed on the internet as a result.

I built Vessel to fill that gap. If your agent is going to handle real work, it deserves real infrastructure: dedicated VM, encrypted tunnel, locked-down defaults, lifecycle tooling. Without requiring you to be a cloud engineer.

ViewForge's answer:

ViewForge came out of agency work. Normal View was building for a parts retailer running roughly 12,000 SKUs who needed fitment search, and every app we evaluated stored the merchant's compatibility data in the vendor's own database.

That is a strange trade when you look at it directly. Fitment data is genuinely expensive to produce — it is weeks of work — and the merchant would not own the result. It would belong to whichever app happened to be installed that year.

Shopify metaobjects made a different answer possible: write fitment as native structured data inside the merchant's own store. The theme reads it, the Storefront API queries it, Admin GraphQL exports it, and it is still there after an uninstall. That decision is what the rest of the app is built around.

Everything else came from real catalogs rather than a roadmap. Eight verticals exist because a tractor catalog is not Year/Make/Model. Smart Parse exists because that retailer had already written fitment into 12,000 product titles, and nobody was ever going to retype them.