Rierino
Low-code platform to build, deploy, and govern enterprise AI agents that execute real actions across your systems.
- Pricing
- Free
- Category
- AI Agents Platform
- Access
- Closed Source
- Industry
- Horizontal
What is Rierino?
Rierino is a low-code platform for building AI agents that execute real work, not just generate text. Instead of treating agents as conversational assistants, Rierino makes them infrastructure-level components that can pull real-time data, invoke internal APIs, and trigger multi-step workflows within enterprise guardrails. Any existing workflow, API, or rule can be exposed as a governed tool an agent invokes, so teams turn their internal architecture into an AI-ready surface without writing glue code or fragile integrations. Agents are model-agnostic, with support for OpenAI, Anthropic, Amazon Bedrock, Google Gemini, Mistral, and local/on-prem models, so providers can be swapped safely without rewriting logic. Every agent action runs under platform-level governance, authentication and authorization (RBAC), schema validation, automatic versioning, and audit logging, giving organizations the control and traceability to scale AI safely. A visual builder keeps development fast, while developers retain full control through custom connectors, code-level expressions, and service integrations. Rierino deploys on any public or private cloud, on-premises, or via Kubernetes and Docker, and a free Community Edition is available on AWS Marketplace.
Key features
- Low-code visual builder for designing, deploying, and orchestrating agents
- Existing workflows, APIs, and rules exposed as governed, agent-invokable tools
- Model-agnostic LLM support (OpenAI, Anthropic, Bedrock, Gemini, Mistral, local/on-prem)
- Built-in governance: RBAC, schema validation, automatic versioning, and audit trails
- Deploy anywhere: any cloud, on-premises, Kubernetes, or Docker
- Multi-protocol execution (HTTP, WebSocket, event streaming, saga orchestration)
Use cases
- Automating multi-step business processes that span departments and systems
- Customer service agents with governed, real-time access to backend data and actions
- Operational and IT agents that trigger workflows and act on internal APIs
- Internal copilots that turn existing microservices into agent-accessible tools
- Composable commerce, supply chain, and logistics automation on a single backend
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