Rierino

Freemium

Rierino is an enterprise low-code platform for building AI agents. It sits in AI agent work, but it focuses on execution rather than chat.

You design agents in a visual builder. These agents connect to real systems like ERP, CRM, internal APIs, and databases. They can invoke workflows, run business logic with validation, and trigger actions like emails or service calls.

The platform is model-agnostic. You can use OpenAI, Bedrock, Gemini, Mistral, or local models like Ollama. Deployment options include public cloud, private cloud, on-premises, and Kubernetes.

Open it if you need agents that execute tasks across enterprise systems with governance controls. Skip it if you want a simple chatbot or lack the systems to connect.

This tool is built for specific enterprise situations. It is not a general-purpose agent builder.

• Teams needing enterprise governance and compliance: You get RBAC, audit trails, automatic versioning, and schema validation. These are built in, not afterthoughts.
• Organizations requiring on-premises or private cloud deployment: You can run it where your data must stay. SaaS-only is not your only option.
• Businesses automating multi-step processes across departments and systems: Your agents can touch ERP, CRM, and internal APIs in one flow. You are not limited to conversational handoffs.
• Teams needing agents with system access rather than conversational interfaces: You build agents that do work, not just answer questions. They invoke workflows and execute business logic.
• Organizations wanting low-code microservice development: You move faster with visual building while keeping developer control for the parts that matter.
• Teams requiring integration with diverse legacy systems: You connect through REST, OData, SOAP, and GraphQL. Old systems do not block you.
• Enterprises seeking composable commerce solutions: You get modules for PIM, CMS, pricing, promotions, search, and cart with embedded AI capabilities.
• Organizations already using Rierino's platform: You extend what you have. The AI agent builder sits on the same infrastructure.

These are the parts that stand out after you have tried a few agent tools.

• Model-agnostic LLM support: You are not locked to one provider. Switch between OpenAI, Anthropic, Bedrock, Gemini, Mistral, or run local models without rewriting logic.
• Built-in governance controls: You do not bolt on security later. RBAC, audit trails, and versioning are there from the start.
• Flexible deployment options: You choose where it runs. Public cloud, private cloud, on-premises, Kubernetes, or Docker.
• Visual builder with developer control: You move fast with drag-and-drop, but you keep access to code when you need it.
• Structured access to workflows and APIs: Your agents connect to real business logic, not just surface-level integrations.

Skip it when these limits matter to you.

• No pricing transparency: You cannot plan a budget. The Community Edition is free, but paid tiers are vague.
• No independent reviews or case studies: You have only vendor claims to go on. No users have shared verified outcomes.
• No performance benchmarks: You cannot verify if it handles your scale. Metrics like "500,000+ hourly transactions" are self-reported.
• Enterprise focus with startup complexity: You need significant systems already in place. It is overkill for simple automations.