SmythOS
Build, orchestrate, deploy, and run AI agents across managed cloud, enterprise, and local environments.
About SmythOS
SmythOS is an open-source AI agent infrastructure platform for teams that need to build, coordinate, deploy, and operate agents beyond a prototype. Its visual workflow environment supports agent creation and testing, while deployment options cover Agent Cloud, enterprise environments, and a local runtime. Teams can expose agents as APIs or MCP servers, export them for local use, organize work in project spaces, and keep revisions as collaborators edit. The open-source SmythOS Runtime Environment adds a cross-platform CLI and SDK for running stateful, modular agents on Linux, macOS, or Windows. It suits developers who want one workflow to move between hosted and self-managed execution, as well as organizations that need collaboration and deployment choices. Adoption still requires planning for model API costs, infrastructure control, and the operational complexity of production agents. The free tier is useful for initial development, while higher usage allowances and enterprise deployment capabilities belong to paid or custom plans.
Best for
Best use cases
Prototype an agent locally, then move the same workflow to managed hosting.
Expose a production agent as an API or MCP server for application integration.
Schedule collaborative agents to handle recurring operational workflows.
Compare before choosing
Choose SmythOS over a chat-only tool when deployment and orchestration matter.
Compare Agent Cloud with local runtime based on infrastructure control and operating effort.
Confirm paid allowances and model API costs before comparing total production cost.
Features
Build multi-agent workflows
Create and test agent workflows in a visual environment, then maintain revisions as a team.
Deploy agents to production
Publish an agent through Agent Cloud, an enterprise environment, a local runtime, an API, or an MCP server.
Run agents on local infrastructure
Use the open-source SmythOS Runtime Environment CLI or SDK across Linux, macOS, and Windows.
Pros
- A free tier lowers the cost of testing agent workflows before committing to paid capacity.
- Cloud, enterprise, and local runtime options let teams choose how much infrastructure control they need.
- API and MCP server deployment reduce the work required to connect an agent to other applications.
Cons
- Production usage can add model API and infrastructure costs beyond the SmythOS plan itself.
- The breadth of workflow, hosting, and runtime choices creates a learning curve for teams new to agent operations.
- Agent Cloud offers less infrastructure control than local or enterprise deployment, so regulated workloads may need a more involved setup.
Pricing Plans
Free
- Developer entry tier
- 100 fast API calls
- Bring your own model API keys
- Local agent export
Paid
- Higher fast API call allowances
- Agent Cloud deployment
- API and MCP server deployment
- Expanded workflow capacity
Enterprise
- AWS enterprise cloud or on-premises deployment
- Custom model support
- Priority support
- Advanced templates and integrations
* Pricing information is for reference only. Please refer to the latest announcement on SmythOS's official website.