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Choose Adios when…
You want source, AI workspaces, previews, deployment, services, and operations in one workflow.
Platform comparison
AdiosvsVercel
Two modern platforms. Different ways to connect development, infrastructure, and production.
Last reviewed: July 21, 2026
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Choose Vercel when…
You prefer Vercel's project model, deployment conventions, and vendor ecosystem.
How they work
The practical difference
Both support Git, modern frameworks, and AI workloads. The difference is how the work moves from source to production.
01
Source and previews
Adios starts from a workspace or a Git push.
Use the path that fits the change. Work interactively with AI and developers, or connect a repository and deploy from Git.
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Adios · Workspace or Git deployment
Build with AI in a live workspace and preview changes before committing. Or connect a Git repository and deploy when you push. Both routes lead to the same Adios project and deployment flow.
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Vercel · Git-connected project
Commits and pull requests create preview and production deployments.
02
Runtime and services
Choose how much of the stack lives together.
Both platforms run modern web apps. The difference is how backend processes and data services fit around them.
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Adios · Application and services together
Run Next.js, APIs, workers, WebSockets, and managed data services in one project.
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Vercel · Platform-managed compute
Run web and AI workloads with Functions, Fluid compute, Workflows, Sandbox, and Marketplace services.
03
AI and operations
Keep development evidence close to production.
Both support AI workloads. Adios keeps workspace actions and runtime state attached to the source project.
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Adios · One project context
Source changes, commands, previews, deployments, health, and logs stay connected.
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Vercel · Vercel project context
AI Cloud, deployments, observability, and integrations sit around the Vercel project model.
Strong in different ways
Both can run Next.js and serve high-traffic applications. Choose based on the workflow and platform you want around the app.
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Where Adios shines
- ✓Next.js and full-stack productsDeploy Next.js beside APIs, workers, and managed data services in one project.
- ✓High-traffic web applicationsScale app replicas and keep health, routes, releases, and logs visible as traffic grows.
- ✓AI agents and stateful systemsRun long-lived APIs, WebSockets, workers, queues, and agent loops as managed processes.
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Where Vercel shines
- ✓Next.js-native deliveryUse deep framework integration, caching, routing, and deployment support for Next.js.
- ✓Git-led frontend teamsCreate preview and production deployments from commits and pull requests.
- ✓Vercel AI Cloud and MarketplaceUse Vercel's AI, compute, storage, and integration ecosystem around the project.
The Adios workflow
From source to a healthy production release.
Start with source
Use a template, connect Git, or bring an existing project.
Build in a workspace
AI and your team edit, run, and preview the real application.
Define adios.yaml
Keep runtime, health, secrets, and resources beside the code.
Release when healthy
Build a version, verify it, and promote it to production.
Adios in practice
From AI conversation to running software.
Connect ChatGPT through MCP, keep deployment in Git, and automate backend work with visible workflows.
01
ChatGPT + MCP
Bring Adios tools into ChatGPT.
Connect ChatGPT to scoped Adios tools. It can work with project source, commands, previews, logs, and deployment context from the conversation.
Explore the MCP integration →name: node-api
region: de
replicas: 2
build_cmd: npm ci && npm run build
start_cmd: node dist/server.js
runtime:
name: node@24
port: 8080
memory_mb: 1024
health_path: /healthz
secrets:
DATABASE_URL: secret://DATABASE_URL02
Deployment as code
Production stays beside the source.
One readable file defines the build, start command, health check, memory, replicas, and secret references.
Review infrastructure changes with the code and reproduce the same deployment without rebuilding settings by hand.
Read the manifest docs →03
Visible workflows
Automate work. See every run.
Start on a schedule or webhook, pass data through ordered steps, and keep status, logs, outputs, and errors attached to the run.
Trigger
Process
Publish
workflow_id: daily-market-brief
enabled: true
triggers:
- type: cron
cron: "0 13 * * 1-5"
- type: webhook
event: market.brief.requested
secrets:
MARKET_DATA_API_KEY: secret://MARKET_DATA_API_KEY
steps:
- step_id: fetch-prices
kind: http
command:
method: GET
url: https://api.example.com/quotes
- step_id: select-close
kind: data-json
dependencies: [fetch-prices]
command:
from_step: fetch-prices
path: ".quotes"
- step_id: publish-brief
kind: http
dependencies: [select-close]
command:
method: POST
url: https://dashboard.example.com/api/market-briefs2 triggers3 visible stepsSecret-backed access
Deploy complete architectures
Start with the app and its persistent services already connected.
AI↗
AI agent loop
Python · FastAPI · Redis
A persistent worker that queues tasks, calls models, and keeps processing state visible.
</>↗
Full-stack SaaS
Next.js · Node.js · Postgres
A web product with API routes, authentication, persistent data, and a production release path.
↗↗
Realtime analytics
Express · WebSockets · MongoDB
A long-running service with live connections, Redis counters, and stored event history.
Adios-only capabilities
Full feature breakdown
A focused view of what Adios adds beyond Vercel: native parts of the workflow that Vercel does not provide in the same integrated product.
| Capability | Included with Adios | Closest Vercel approach |
|---|---|---|
| Persistent coding workspace | ✓ A long-lived project workspace where AI and developers edit files, run commands, open previews, and inspect logs. | — No equivalent persistent coding workspace. Vercel Sandbox is ephemeral compute exposed through an SDK and CLI. |
| Preview before committing | ✓ Run and review the application from the workspace before creating a Git commit or deployment. | — Standard previews are deployments created through Git, CLI, deploy hooks, or API. |
| Always-on process model | ✓ Run explicit start commands for web apps, APIs, workers, WebSockets, and agents with health checks. | — Functions are request-driven and time-limited. Workflows provide durable execution, not an always-on application process. |
| One deployment manifest | ✓ adios.yaml defines the build, start command, runtime, port, replicas, health check, memory, and secret references. | — vercel.json or vercel.ts covers builds, functions, and routing; other runtime and service settings live elsewhere. |
| First-party service templates | ✓ Add Postgres, Redis, MongoDB, MySQL, pgvector, or RabbitMQ as services inside the Adios project. | — Databases and data stores come from Marketplace providers; Vercel provides Blob and Edge Config directly. |
| Source-to-runtime context | ✓ Workspace changes, Git state, previews, deployments, replicas, health, and logs stay in one project workflow. | — Deployment and observability context is available, without the same persistent source-editing workspace around it. |
Pricing
Adios plans start at $10 per month
Choose the compute, memory, storage, bandwidth, and included AI usage that fit your applications.
Starter
For a first app, small API, or personal workspace.
$10/month
- ✓1 vCPU and 1 GB RAM
- ✓10 GB storage
- ✓500K included AI tokens
- ✓500 GB included bandwidth
Dev
For active development across several apps.
$50/month
- ✓2 vCPU and 4 GB RAM
- ✓50 GB storage
- ✓2.5M included AI tokens
- ✓2 TB included bandwidth
Pro
For production projects that need more headroom.
$99/month
- ✓4 vCPU and 8 GB RAM
- ✓100 GB storage
- ✓5M included AI tokens
- ✓5 TB included bandwidth
Custom domains and TLS are included. Final terms and availability are shown before checkout.
Compare all plan details →Frequently asked questions
?What is the main difference between Adios and Vercel?
Both cover the modern web stack. Adios starts in a source-backed AI workspace; Vercel starts with its project and Git deployment model.
?Does Adios replace GitHub?
No. Adios works with Git-based source. Workspaces support status, diffs, commits, push, pull, and two-way local sync.
?Can I deploy a Next.js app on Adios?
Yes. Start from a Next.js template or repository, keep its normal build and start commands, then add health, secrets, data services, domains, and logs.
?Does Adios also offer Git development, AI Cloud, and a Marketplace?
Yes. Adios includes Git-based web development, framework integrations, AI Cloud workflows, and a Marketplace for templates, services, and integrations.
Keep exploring
See how Adios works.
Build with source, preview, and deploy in one place.
Start from a template, workspace, or existing project. Keep the code connected to Git, services, logs, and production.
Start building with Adios →