SmythOS — Create AI Agents with SmythOS
SmythOS is an AI agent development platform that enables non-developers and developers alike to build, deploy, and manage AI-powered agents without writing code. It provides a visual drag-and-drop builder, a library of pre-built agents, universal integration with multiple AI models and APIs, and options for local or cloud deployment. The platform emphasizes rapid prototyping, production readiness, and enterprise-ready features such as on-prem deployment, audit logs, and data control.
What it is
- A no-code/low-code agent builder that lets you describe your needs and have SmythOS construct agents using the best AI models and APIs for the task.
- A marketplace of pre-built agent templates for common use cases, ready to remix and connect with your own APIs.
- A universal integration framework that supports OpenAI, Hugging Face, Amazon Bedrock, and hundreds of vendors without code.
- Deployment flexibility with local or cloud options (including AWS) and enterprise capabilities.
How to Use SmythOS
- Describe your goal. Use natural language or images to explain what you want the agent to do.
- Build visually. Use the visual builder to connect inputs, actions, data sources, and AI models via drag-and-drop.
- Remix templates. Start from a pre-built agent template and remix it with your API keys and data.
- Deploy Anywhere. Choose local or cloud deployment; connect with your chosen infrastructure and data sources.
- Operate & Monitor. Use built-in logs, dashboards, and explainable AI features to monitor performance and data flows.
Core Capabilities
- Visual, drag-and-drop agent builder that requires no manual coding
- Describe-then-build workflow to generate agents from chat or image prompts
- Pre-built agent templates for dozens of use cases (e.g., API automation, data workflows, content generation)
- Universal integration with major AI models and APIs (OpenAI, Hugging Face, Amazon Bedrock, and more)
- Deploy anywhere: on-premises or cloud (AWS), with choice of hosting
- Explainable AI and full data flow control, including audit logs, encryption, and authentication
- Shared workspaces, white-label options, and role-based access for teams and clients
- Ready-to-use templates for rapid prototyping and production-grade deployments
Use Cases
- API backends and automation for automated data processing, decisioning, and orchestration
- Sales, support, and customer service agents that integrate with CRMs and knowledge bases
- Content generation, blog/post drafting, and media workflows
- Slack/Discord bots, Discord ticketing, and internal tooling integration
- Compliance and data-extraction pipelines with auditable traces
How SmythOS Works
- Describe a need in natural language or provide an input image.
- The platform generates an agent workflow using the best available models and APIs.
- Users customize with a visual editor, connect data sources, and configure actions.
- Deploy locally or to cloud and monitor with built-in observability tools.
- Iterate quickly using remix templates and real-time debugging.
Safety and Security Considerations
- Supports on-prem deployment and enterprise privacy controls for sensitive data.
- Auditable logs, encryption, and access controls to govern data flows and model usage.
Pricing & Access
- Start for Free with Try It Free option; scale with a paid plan for additional features, templates, and deployment options.
Key Features
- No-code/low-code AI agent builder with drag-and-drop interface
- Instant agent generation from natural language or images
- extensive template library of pre-built agents
- Universal integration with OpenAI, Hugging Face, Amazon Bedrock, and more
- Deploy anywhere: on-premises or cloud (AWS)
- Explainable AI, data flow audit logs, encryption, and authentication
- Multi-user collaboration with shared workspaces and white-labeling
- Rapid prototyping to production with remixable templates