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Agents

Rierino ✓

Execution-first AI agents for enterprise workflows, systems, and internal tools.

Source rating 5.0 (1) 2.3k views 8 saves Freemium
Agent Agent Orchestration Agentic Workflows
More categories (4)
AI Agents API API Gateway Agents
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Free + from $0.75

Verdict

A quick read before you dig into the full page.

Best if
Execution-first AI agents for enterprise workflows, systems, and internal tools
Skip if
Learning curve for teams new to orchestration and agentic execution
Pick this when
Execution-first AI agents (agents that run real backend actions)

Considering Younet instead? Compare side by side

Overview

Rierino helps teams build and deploy tool-using AI agents that do real backend work—safely. Instead of chat-only assistants, Rierino agents can execute governed actions across workflows, integrations, and APIs, with structured logic and guardrails.

Use low-code orchestration flows, rules, visual queries, and reusable building blocks to create agentic workflows like approvals, onboarding, operational triage, data enrichment, and service processes. You can also embed agent actions into internal tools (e.g., CRM or ops screens) so users can trigger agent-assisted outcomes directly inside business workflows.

Rierino is designed for enterprise execution builders (developers, architects, platform/integration teams) and delivery teams (agencies/independent architects) who need to prototype quickly and move to production-grade deployment when requirements grow.

You can start with the Community Edition on AWS Marketplace here: https://aws.amazon.com/marketplace/pp/prodview-up2fcxku3k742

When you’re ready for production-grade requirements (scale, availability, governance, and support), Rierino also offers multiple paid deployment options.
  • Tool-using Ai Agents
  • Agentic Workflows
  • Low-code Execution Builder
  • Mcp Servers Tooling
  • Human-in-the-loop Approvals
  • Apis & Integrations For Actions
Rierino website

Access & connections

Where you can use Rierino, and what it plugs into.

Platforms

Web

Integrations

MCP

API

Public API available

Browse other tools with an API

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • Code
  • Tabular
  • Image
  • Text
  • Video
  • Audio

Output

  • Code
  • Tabular
  • API
  • Text
  • Image

Highlights

  • Agents
  • API
  • MCP
  • Local

Supported features

  • Agents
  • API
  • MCP
  • Runs Locally

Pros & cons

Pros

  • Execution-first AI agents (agents that run real backend actions)
  • Tool-using agents with integrations and APIs
  • Agentic workflows with orchestration (flows/sagas)
  • Conditional flow logic for multi-step execution
  • Low-code backend automation with reusable building blocks
  • Visual queries and rules for governed decisions
  • Drag-and-drop UI builder for smart internal tools
  • Embed agent actions inside internal UIs and workflows
Show 7 more
  • Composable APIs and microservices development
  • Rapid API and integration delivery for enterprise systems
  • Human-in-the-loop approvals for assisted execution
  • Language model integration (GenAI / LLMs)
  • MCP Servers tooling for exposing capabilities to agents
  • Strong fit for developers, architects, and platform teams
  • Useful for agency delivery teams building enterprise automations

Cons

  • Learning curve for teams new to orchestration and agentic execution
  • Best suited to technical builders (developers, architects, delivery teams)
  • Requires some setup and configuration to connect real systems/tools
  • Not intended for “instant app builder” use cases
  • Advanced production needs require paid deployment options

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Releases 1

Initial release June 6, 2025 Current
Initial release of Rierino.

FAQ 12

What is Rierino?
Berkin Ozmen
🛠️ 1
tool
wrote:
Rierino is an execution-first, low-code platform for building backend systems: workflows, integrations, composable APIs, and internal tools. It’s designed for teams that need structured orchestration and reusable building blocks, with optional AI agent capabilities for automating real operational work.
What makes Rierino “agentic”?
Berkin Ozmen
🛠️ 1
tool
wrote:
Rierino supports tool-using AI agents that can trigger actions across workflows, services, and integrations. Instead of stopping at chat responses, agents can execute governed steps (e.g., call APIs, run queries, start flows, update records) while following rules and structured logic.
What is the AI Agent Builder in Rierino?
Berkin Ozmen
🛠️ 1
tool
wrote:
The AI Agent Builder is where teams configure agents, model behavior, and connect agents to tools and execution capabilities. It enables agents to operate inside real backend processes—so you can embed AI assistance into workflows and applications, not just run standalone prompts.
What can I build with Rierino Community Edition?
Berkin Ozmen
🛠️ 1
tool
wrote:
Rierino Community Edition (single-node AWS AMI) is the full Core platform for hands-on building and evaluation. Teams commonly use it to prototype tool-using agents, orchestrated workflows, integration flows, CRUD services, and internal tools—then move to production-grade deployments when they need higher availability, scale, governance, or support.
How does Rierino handle workflows and orchestration?
Berkin Ozmen
🛠️ 1
tool
wrote:
Rierino uses flow-based orchestration (including saga-style patterns) to model multi-step backend execution. This makes it easier to implement conditional paths, retries/fallbacks, approvals, and structured handoffs across systems—without hard-coding every edge case.
How do “visual queries” and rules fit into agentic workflows?
Berkin Ozmen
🛠️ 1
tool
wrote:
Visual queries and rules provide a structured layer for decisions and data logic. They can be used to validate inputs, route work, apply business rules, and create safe guardrails around agent actions—so AI execution remains predictable and auditable.
Can Rierino build APIs and CRUD services?
Berkin Ozmen
🛠️ 1
tool
wrote:
Yes. Rierino can expose composable APIs and services (including CRUD patterns and database-backed operations) and connect them to workflows and internal tools. This is useful for building reusable backend capabilities that power web apps, mobile apps, and operational automation.
How does Rierino integrate with external systems and APIs?
Berkin Ozmen
🛠️ 1
tool
wrote:
Rierino is designed for integration-heavy environments. Teams can connect external systems (e.g., ERP, CRM, commerce, identity, data services) and orchestrate multi-step interactions across them using reusable services, flows, and controlled execution.
What is MCP support in Rierino?
Berkin Ozmen
🛠️ 1
tool
wrote:
Rierino supports MCP Servers to expose tools and capabilities to AI agents. This helps teams standardize how agents access actions and resources, and keeps tool execution consistent across different agent use cases.
Who is Rierino best suited for?
Berkin Ozmen
🛠️ 1
tool
wrote:
Rierino is best suited for enterprise execution builders (developers, architects, platform/integration teams), delivery builders (agencies and independent solution architects), and lean teams modernizing operational execution. It is most effective when the goal is orchestrated backend automation rather than purely UI-only app building.
How can Rierino be used in ecommerce or composable commerce?
Berkin Ozmen
🛠️ 1
tool
wrote:
Rierino can orchestrate commerce operations across systems—catalog, pricing, orders, fulfillment, and customer service—by exposing composable APIs and connecting workflows across commerce engines, ERP/finance, CRM, and data services. Agent actions can assist with operational tasks like triage, exception handling, and content workflows.
How can Rierino help government or public sector workflows?
Berkin Ozmen
🛠️ 1
tool
wrote:
Rierino supports structured workflows for onboarding, case handling, approvals, and secure system integration. Agent capabilities can assist with document-driven tasks (summaries, classification, routing) while keeping execution governed through rules, flows, and controlled integrations.
Rierino Free + from $0.75
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