1. Build with Your Agent
Connect your AI agent via MCP. The agent works directly with your repository files in a persistent, source-backed workspace to implement features.
Adios is the ultimate developer environment for AI coding agents. Give Claude, ChatGPT, or custom agents a secure, source-backed workspace to run builds, execute tests, start previews, and request production deployment.
Plans from $10/month. Start with a 14-day free trial. Card required.
The Agent's Workbench
Agents can't run code in a vacuum or deploy without safety rails. Adios gives your agent an isolated, secure workspace to write code, execute test suites, spin up previews, and prepare approved production releases.
Connect your AI agent via MCP. The agent works directly with your repository files in a persistent, source-backed workspace to implement features.
The agent runs tests and compiles builds inside the isolated workspace sandbox. You get automatic proof of success before any code is promoted.
The agent boots a live preview environment on Adios and verifies the health of the routes, feeding diagnostics back into the prompt.
Once tests pass and the preview is verified healthy, you approve the release. Adios promotes the new version behind your custom domain.
Declarative Manifests
An AI agent needs structured boundaries. adios.yaml keeps build commands, startup behavior, health checks, resources, and secrets right beside the code. Your agent can read, write, or update this file to self-configure the workspace dynamically.
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_URLGive any MCP-capable AI client scoped access to an Adios workspace. Your agent gains the direct tools to build code, run tests, spin up custom previews, and inspect logs to self-diagnose and fix failures independently.
Build and manage the full application surface
Deployable starters
Start from official Adios templates for web apps, API backends, databases, caches, and queues. Deploy in the console or clone locally and run adios up.
JavaScript and TypeScript Next.js starters using npm or pnpm and Adios runtime config.
A Node.js 24 starter connected to an existing Supabase project with secret-backed configuration.
WordPress 7.0.3 on PHP 8.3 with managed MySQL, generated salts, and persistent wp-content.
PocketBase 0.39.10 with persistent SQLite data, generated superuser credentials, and built-in auth and realtime APIs.
Strapi 5 on Node.js 24 with managed PostgreSQL, generated secrets, and persistent uploads.
FastAPI, Django, Flask, Litestar, and Sanic starters with production start commands.
Rails, Sinatra, Grape, Hanami, and Roda starters with Bundler and Adios config.
Laravel, Symfony, CakePHP, CodeIgniter, Yii, and PHP 8.2 starters.
Gin, Chi, Echo, Fiber, and Beego starters with compiled production binaries.
ASP.NET Core, Blazor, ABP, FastEndpoints, Orchard Core, and .NET 8 starters.
Platform capabilities
Keep development, infrastructure, and operations connected instead of rebuilding the release path across separate tools.
The ultimate workbench for AI agents. Run builds, execute tests, generate dynamic previews, and keep all code edits reviewable in Git.
Define how the app builds, starts, and reports health in adios.yaml. Each release stays connected to its source, logs, health status, and live route.
Run APIs, WebSockets, background workers, and long-lived services without operating servers, proxies, or certificates.
Add Postgres, pgvector, Redis, MongoDB, MySQL, or RabbitMQ and connect them to the application without placing credentials in source.
Run scheduled jobs, webhooks, approvals, and multi-step processes with visible status, logs, inputs, outputs, and errors.
Route traffic through the Adios edge network, attach custom domains, and keep TLS and the live release connected as versions change.
Workflow example
Define triggers, secret references, and ordered steps in YAML. Each run keeps its status, logs, inputs, outputs, and errors, so your team can see exactly what happened.
This example runs every weekday or from a webhook, then turns market data into a brief for an internal dashboard.
Trigger
Run on a weekday schedule or start from a webhook.
Process
Fetch price data and select the fields the next step needs.
Publish
Send the brief to an internal dashboard and keep every step attached to the run.
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
headers:
Authorization: "Bearer secret://MARKET_DATA_API_KEY"
- 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-briefsBefore you start
AI agents connect to Adios via the Model Context Protocol (MCP). Adios gives them a secure, source-backed workspace where they can run builds, execute tests, start previews, and request deployment under your approval.
Yes. All agent modifications land directly in your workspace files. You can inspect the Git diff, verify the build output, and preview the live app before deciding what to commit or deploy.
It is a dedicated, secure workbench that provides an AI agent with the exact tools it needs to edit source, run declared terminal tasks, inspect logs, and manage server previews, keeping your credentials secure.
Yes. Start from any existing Git repository, local project, or template. Add your adios.yaml, and both you and your agent can build, test, and preview the app immediately.
Adios runs web apps, APIs, WebSockets, background workers, and databases across Node.js, Python, Go, .NET, Ruby, PHP, and more, all configurable by your agent via adios.yaml.
Destructive actions, custom domains, and production deployments are approval-gated. The agent can build, test, and preview its work, but it must request your permission to deploy to production.
Plans start at $10 per month. Choose the compute, storage, bandwidth, and included AI usage that fit your apps. Final terms and availability are shown at checkout.
For a first app, small API, or personal workspace.
$10/mo
For active development across several apps.
$50/mo
For production projects that need more headroom.
$99/mo