Give your application a memory.
Add Postgres, pgvector, Redis, MongoDB, MySQL, or RabbitMQ to your stack with one click. Adios injects secure connection details into the workspace, allowing your AI agent to instantly leverage caches, queues, and vector storage.
IN PRACTICE
Build a realtime dashboard with live and historical data.
Run the Node.js service as a persistent process, connect Redis for active counters and MongoDB for event history, and keep both dependencies visible beside the app.
name: realtime-dashboard
runtime:
name: node@24
port: 8080
requires:
- db
- cache
- queueHOW IT WORKS
Create the resource, declare the dependency, run the app.
- 01
Create a managed data resource from a supported template.
- 02
Reference it from your app manifest or workspace.
- 03
Deploy the app with connection secrets and dependency wiring.
WHY IT BELONGS HERE
The application is only one part of a working backend.
Storage, caches, queues, connection credentials, and persistence are often provisioned elsewhere, leaving the relationship between the app and its data services implicit.
Choose storage that fits the job
Use relational data, vector search, document storage, caching, pub/sub, or queues without forcing everything into one service.
Keep dependencies explicit
The app manifest shows which managed resources the workload expects.
Connect without copying credentials around
Required connection details are injected into the application environment.
What’s included
- ✓ Postgres and pgvector for relational and AI search apps
- ✓ Redis for caching, sessions, pub/sub, and live buffers
- ✓ MongoDB and MySQL templates
- ✓ RabbitMQ for queue-backed systems
Give the application the stateful services it actually needs.
Create a database, cache, or queue, link it in the manifest, and keep the dependency attached to the workload.
CONNECTED CAPABILITIES
Keep building.
Managed App Hosting
Provide your AI agent with a robust hosting platform that supports APIs, WebSockets, and background workers as managed, long-running processes. Adios handles routing, replicas, and SSL automatically, giving your agent a reliable target to deploy to.
Explore →02 /Workflows & Automation
Define webhook integrations, scheduled tasks, and multi-step processes in clean, declarative YAML. Your AI agent can easily build and modify backend pipelines while you inspect every run, input, and output.
Explore →03 /Secrets & Environment Variables
AI agents can easily compromise hardcoded API keys and secrets. Adios keeps your credentials safe by replacing them with secret:// references in adios.yaml. Your agent can configure environment needs without ever seeing actual production values.
Explore →