SmythOS
Build, deploy, and manage AI agents across cloud, on-premises, and local environments from one unified platform.
Website
Category
AI Agent Builders
Pricing
Free Plan & Paid Plans
Overview
SmythOS is an AI agent development and deployment platform designed to help individuals, developers, and enterprises build, test, deploy, and manage AI agents and multi-agent workflows.
The platform combines a visual agent builder with developer tools, allowing users to create AI workflows through drag-and-drop components or build agents using code. Its Agent Weaver feature can also turn natural-language descriptions into AI agent workflows, making agent development more accessible to users without extensive programming experience.
SmythOS is designed to support the complete AI agent lifecycle, from prototyping and testing to deployment, monitoring, collaboration, and production operations. Agents can be deployed through APIs, web chat, MCP servers, language-model interfaces, or directly to local and enterprise infrastructure.
The platform also emphasizes open-source agent infrastructure, allowing organizations to run agents in cloud, on-premises, edge, desktop, mobile, and container environments while maintaining greater control over their data and deployment architecture.
Tool Information
| Field | Details |
|---|---|
| Name | SmythOS |
| Category | AI Agent Builders |
| Type | AI Agent Development & Deployment Platform |
| Deployment | Cloud / Local / On-Premises / Edge |
| Platform | Web / SDK / Runtime |
| AI Agents | Yes |
| Visual Agent Builder | Yes |
| No-Code / Low-Code | Yes |
| Multi-Agent Systems | Yes |
| Agent Orchestration | Yes |
| RAG | Yes |
| Agent Memory | Yes |
| MCP Support | Yes |
| Computer Automation | Yes |
| API Deployment | Yes |
| Open Source | Yes |
| Official Website | https://smythos.com/ |
Key Features
Visual Agent Builder
Create AI agents and workflows using a visual drag-and-drop environment.
Capabilities
- Drag-and-drop workflows
- Visual agent development
- Workflow components
- Agent templates
- Custom logic
- Visual debugging
- Agent testing
The visual environment allows users to design agent workflows without writing every component from scratch.
Agent Weaver
Use natural-language instructions to help create and modify AI agent workflows.
Features
- Natural-language agent creation
- Workflow generation
- Agent configuration
- Workflow troubleshooting
- Conversational workflow editing
- AI-assisted development
Agent Weaver is designed to simplify the process of turning an idea or description into a working AI agent workflow.
Multi-Agent Collaboration
Build systems where multiple AI agents can work together as a coordinated team.
Capabilities
- Agent teams
- Task delegation
- Agent collaboration
- Multi-agent workflows
- Specialized agents
- Autonomous departments
This allows organizations to create groups of agents that handle different parts of a larger business process.
RAG & Knowledge Integration
Connect agents to relevant information so they can use external knowledge when completing tasks.
Benefits
- Knowledge bases
- Retrieval-augmented generation
- Context-aware responses
- Real-time information retrieval
- Private organizational data
- Document-based workflows
RAG capabilities allow agents to work with company information and other external knowledge sources instead of relying solely on an AI model’s built-in knowledge.
Computer Automation
Use AI agents to interact with computers, browsers, applications, and files.
Use Cases
- Browser automation
- File operations
- Application interaction
- Multi-step computer tasks
- Repetitive desktop workflows
- Business process automation
SmythOS provides infrastructure for agents to perform computer-control tasks through secure environments.
AI Model Integration
Use different AI models within agent workflows rather than being restricted to one model provider.
Advantages
- Multiple commercial models
- Open-source models
- Bring-your-own-model support
- Hugging Face models
- Enterprise model integrations
- Model selection by task
SmythOS supports model providers and enterprise platforms including OpenAI, Anthropic, Google, AWS Bedrock, and other model sources.
MCP Integration
Deploy and connect AI agents using the Model Context Protocol.
Capabilities
- MCP server deployment
- MCP tools
- External MCP services
- Agent-to-tool communication
- Enterprise integrations
- Custom MCP workflows
Agents can be deployed as MCP servers, allowing them to become accessible to compatible AI applications and agent systems.
Agent Deployment
Deploy agents to different environments and interfaces without rebuilding the underlying workflow.
Deployment Options
- Agent Cloud
- Local infrastructure
- On-premises
- Private cloud
- APIs
- Web chat
- MCP servers
- Language-model interfaces
- Edge environments
This deployment flexibility helps organizations move agents from prototypes into production environments.
Agent Runtime
SmythOS provides a runtime environment for running agents outside its hosted cloud.
Features
- Local execution
- On-premises deployment
- Edge deployment
- Cross-platform runtime
- Secure execution
- Infrastructure control
The SmythOS Runtime Environment can be used across Linux, Mac, and Windows environments.
Observability & Debugging
Monitor how agents execute their workflows and identify problems during development and production.
Features
- Workflow debugging
- Execution tracing
- Agent logs
- Performance monitoring
- Cost tracking
- Real-time observability
Users can inspect individual workflow steps to better understand how an agent reached its result.
Use Cases
Customer Support
Build AI agents that answer questions, retrieve information, and automate customer support workflows.
Sales & Lead Generation
Create agents that research prospects, enrich leads, qualify opportunities, and automate sales workflows.
Data Analysis
Deploy agents that retrieve, process, analyze, and summarize business information.
Research
Build research agents that gather information, analyze sources, and produce structured findings.
Business Automation
Automate repetitive multi-step processes using AI agents connected to business applications and tools.
Content Creation
Create workflows where agents research, write, edit, review, and optimize content.
Enterprise Operations
Deploy AI agents across departments to automate operational processes and support employees.
Computer Automation
Use agents to perform repetitive tasks involving browsers, applications, files, and other computer-based workflows.
How SmythOS Works
SmythOS provides a visual and code-based environment for designing AI agents, connecting tools and data, testing workflows, and deploying agents to different environments.
Typical Workflow
- Create an AI agent
- Define its role and objectives
- Select AI models
- Add workflow components
- Connect tools and integrations
- Add knowledge or RAG sources
- Configure memory and permissions
- Test and debug the workflow
- Deploy the agent
- Monitor and optimize its performance
Users can deploy the same agent workflow to different environments and interfaces, helping reduce the need to rebuild an application for every deployment target.
Integrations
Supported Workflows
- OpenAI
- Anthropic
- Google AI
- AWS Bedrock
- Hugging Face
- HubSpot
- Slack
- Zapier
- GoHighLevel
- Microsoft Teams
- SharePoint
- OneDrive
- OpenAPI
- MCP
- REST APIs
- Custom APIs
- Enterprise applications
Advantages
- Visual AI agent builder
- No-code and low-code development
- Agent Weaver for natural-language development
- Multi-agent collaboration
- RAG capabilities
- Computer automation
- MCP support
- API deployment
- Local deployment
- On-premises deployment
- Edge deployment
- Open-source runtime and development components
- Built-in observability
- Agent debugging
- Enterprise security controls
- Flexible AI model support
- Agent scheduling
- Bulk processing
- Team collaboration
Limitations
- Advanced agent development can still require technical knowledge
- Complex multi-agent workflows may require significant planning and testing
- AI model usage can create additional costs
- Some enterprise deployment and support features require higher-tier plans
- The large number of deployment and configuration options can create a learning curve for new users
- Production agent systems still require appropriate monitoring and governance
Pricing
Public Plan
SmythOS offers a free Public plan for users who want to experiment with AI agents and build public or open-source agents.
The current plan includes:
- $0 per month
- $5 in free credits per month
- 1 seat
- Public agents
- Visual Agent IDE
- Bring-your-own-model support
- Free local deployment
Builder Plan
The Builder plan costs $39 per seat per month.
It is designed for developers building AI-powered workflows, agents, and APIs.
The plan includes:
- $20 in free model credits per month
- 40% model usage discount
- 100 fast API calls per day
- Private agents
- Agent Weaver
- Team collaboration features
Startup Plan
The Startup plan costs $399 per month.
It is designed for startups building AI automations, agents, and APIs.
The plan includes:
- $200 in free model credits per month
- 50% model usage discount
- 5,000 fast API calls per day
- Up to 3 seats
- 10 team spaces
- RAG agents
- Collaboration features
Scaleup Plan
The Scaleup plan starts at $1,499 per month.
It includes:
- $300 in free model credits per month
- 60% model usage discount
- 25,000 fast API calls per day
- Up to 5 seats
- 50 team spaces
- Forward-deployed engineering support
- Priority support
- White-labeling
- RAG agents
Enterprise
Enterprise plans start at $4,955 per month and are designed for organizations requiring large-scale AI agent infrastructure.
Enterprise features include:
- Unlimited agents
- Unlimited tasks
- Unlimited API calls
- Unlimited team spaces and seats
- On-premises deployment
- VPC deployment
- OEM distribution
- Custom compliance options
- Custom data-retention policies
- Enterprise and fine-tuned LLM support
- Browser automation
- Forward-deployed engineering support
AI model usage may be billed separately depending on the selected plan and model configuration.
Visit the official website for the latest pricing information.
Company Information
| Field | Details |
|---|---|
| Product Name | SmythOS |
| Company | SmythOS |
| Category | AI Agent Builders |
| Industry | Artificial Intelligence |
| Product Type | AI Agent Development & Deployment Platform |
| Deployment | Cloud / Local / On-Premises / Edge |
| Target Audience | Developers, Startups, Businesses, Enterprises |
| Official Website | https://smythos.com/ |
Frequently Asked Questions
What is SmythOS?
SmythOS is an AI agent development and deployment platform that helps users build, test, deploy, and manage AI agents and multi-agent workflows.
Who should use SmythOS?
SmythOS is designed for developers, businesses, startups, enterprises, and teams that want to create and deploy AI agents without building the entire infrastructure themselves.
Does SmythOS require coding?
No. SmythOS provides a visual drag-and-drop environment and Agent Weaver for natural-language agent development. Developers can also use the platform’s SDK and coding capabilities for more advanced applications.
Can SmythOS build multi-agent systems?
Yes. SmythOS supports agent teams and multi-agent workflows where multiple specialized agents can collaborate and perform different tasks.
Can SmythOS agents run locally?
Yes. SmythOS provides a Runtime Environment that allows agents to run locally, on-premises, or in other supported infrastructure environments.
Is SmythOS free?
Yes. SmythOS offers a free Public plan with limited credits and capabilities. Paid plans provide additional agents, API capacity, collaboration features, infrastructure options, and enterprise capabilities.
