Low-Code Microservices & AI Agent Platform

Rierino is a low-code microservices and AI agent development platform with an architecture designed for scale and flexibility

In brief: Rierino is a low-code backend platform for building microservices, orchestration flows, and AI agents. You assemble services from configuration-first building blocks, then deploy them across environments as APIs, async triggers, and workflows. It also includes an internal Admin UI builder plus plug-in adapters for data stores, streaming, and external integrations. The goal is fast iteration at scale, without losing governance.

What Rierino does

• Build microservices with configuration-first building blocks.

• Orchestrate services into APIs, async triggers, and workflows.

• Use pluggable storage, query, and integration adapters.

• Add rules, ML scoring, and AI-assisted operations where needed.

For common product and delivery patterns, see Use Cases.

For the system structure and deployment model, see Platform Architecture.

The following table compares Rierino Core against different categories of traditional low code development platforms, along with the core capabilities provided out of box with Rierino:

Rierino vs. Traditional Low Code Development Platforms

Low-Code Platforms Compared: Enterprise Guide for DevelopersRierino

Fastest way to start testing out and developing on Rierino is using our free 'Community Edition' on AWS Marketplace, which is deployed as a multi-service VM within the region and instance type of your choosing with 100% control.

Click here to start with AWS now.

You can also check all alternative ways to start using Rierino here.

Admin UI for internal operations

Internal User Experience

Rierino provides a low-code UI builder for web forms and data lists. It is typically used by internal users and partners.

It fits product, content, and asset management scenarios. It is also used for workflow task interactions and triggering automation.

The UI includes embedded BI capabilities. This keeps decision data close to the operational screens.

It also supports AI-assisted operations, such as summarizing, translating, and rewording.

You can extend the UI with 3rd party webcomponents. You can also use Handlebars templates for deeper customization.

Explore internal UI capabilities

• User Interface

• Data Visualizations

Backend services, orchestration, and automation

Microservices Development

Rierino lets you build microservices with a low-code, drag&drop interface. Services can range from simple database operations to complex logic and ML steps.

You can build them without writing a single line of code.

You can deploy services to many environments. This includes public clouds, private clouds, on-prem, and bare metal.

Explore microservices

• Microservices

Microservices Orchestration

Rierino can orchestrate your microservices and 3rd party services. You can model them as real-time API flows, async trigger flows, and workflows.

This lets you extend the platform using any language. It also lets you bring existing services into a consistent execution model.

Explore orchestration and APIs

• API Flows

• Gateway & Security

Workflow Management

Rierino can be used to design workflows and assign tasks to users. Users can review and add process data from customizable UI screens.

You can escalate tasks when they are not completed on time.

You can incorporate business rules and ML into workflows. This supports decision automation and process automation.

Explore workflow automation

• Orchestrate User Task

Rule Management

Rierino includes a flexible and customizable business rule engine. Use it to configure real-time decisions for any domain. Common examples include pricing and fraud detection.

Depending on the modules deployed, rule domains may be preconfigured. You can then customize them for your business requirements.

Explore rule configuration

• Business Rules

ML Automation

Rierino provides real-time ML scoring and MLOps automation capabilities. You can automate training and deploy models for real-time scoring.

Once configured, ML models built in R or Python can be converted and uploaded. They can then be used as a step in any API flow.

Explore machine learning capabilities

• ML Models

• Complex Event Processing

AI Agents

Rierino lets you build AI agents as first-class, deployable backend capabilities. You can develop agents with the same low-code approach used across the platform.

Agents are usually composed from:

• Models governed centrally, so you can swap providers safely.

• Tools backed by existing microservices and flows.

• Orchestration that controls prompts, context, and multi-step execution.

Once configured, agents can be exposed as APIs. This makes them easy to embed into apps and workflows.

For the broader AI capability model, see Built with ML & AI.

Explore AI agent development

• GenAI Models

• Service MCP Requests

Data stores, APIs, and event integration

Database Systems

Rierino has an open architecture for data sources. It integrates with SQL, NoSQL, search engines, and caches.

The platform also provides an abstraction layer for operations and queries. This helps you switch data systems without migrating all logic.

Explore data systems

• State Managers

• Query Managers

External APIs

Rierino can integrate with public and private 3rd party APIs. It supports different auth mechanisms and formats (e.g. JSON, XML, SOAP, OData, GraphQL).

Explore external integration patterns

• Call Rest API

• Call SOAP API

• Integrate with Camel

Streaming Events

Rierino can consume and produce real-time event streams (for example, Kafka). This enables patterns that are hard with request-only architectures. Examples include async tasks, CDC feeds, and some analytics use cases.

Explore streaming and event delivery

• Streams