SmythOS
Multi-agent operating system for orchestrating and deploying AI agents at scale.
SmythOS describes itself as an operating system for AI agents. The analogy is deliberate: just as a traditional OS manages a computer's resources and gives applications a consistent way to use them, SmythOS manages AI resources, language models, vector databases, storage, and caching, and exposes them through a unified interface so an agent built once can run anywhere. Its argument is that frameworks help you start, with chains and flows, but moving from a demo to a dependable product needs a runtime: orchestration, deployment, observability, versioning, and lifecycle management that frameworks do not try to solve.
At the core is an open-source runtime, released under a permissive license and inspired by operating-system kernel design, that handles the unglamorous parts of running agents in production, retries, cancellation, priorities, shared memory, packaging, and isolation, across local, cloud, and edge environments. A shared connector layer means every agent uses the same drivers for models, APIs, and data, so a team can swap the underlying model or component on the fly without rebuilding, and a single specification spans the visual builder, SDK, and command line to avoid drift between prototype and production.
There are several ways to build. Agent Studio is a no-code, drag-and-drop workspace open to developers of any skill level, Agent Weaver lets you describe an agent in plain language and have it assembled for you, and an SDK and CLI give engineers code-level control. For more complex work, SmythOS supports multi-agent orchestration where planners, delegators, and specialists cooperate, one agent or a human can review and refine another's output, and components are fully sandboxed so they only see what they need, an approach aimed at preventing data leakage.
Deployment is intentionally open-ended. A finished agent can be exposed as an API, a model endpoint, an MCP server, a web chat, or a voice interface, and run on cloud, on-premises, edge, desktop, or in containers, with no rewrites between targets. SmythOS is available as a free container image, a hosted service, and on-premise or enterprise-cloud options, with built-in observability, role-based access, and auditable logs, positioning it for teams that want to prototype quickly but keep control and security as they scale.
Vendor details
Canonical URL
https://smythos.com
Category
Agent infrastructure
Company status
independent
Use cases & customers
Target customers
Deployment options
In practice
You can prototype an agent in a framework but can't get it production-ready. SmythOS adds an OS-level runtime handling orchestration, retries, isolation, observability, and lifecycle so the same agent runs reliably from demo to deployment.
You want to build agents without code but keep the option to drop into code later. SmythOS offers a drag-and-drop Studio and a plain-language Agent Weaver, with an SDK and CLI sharing one spec so there are no rewrites.
You need agents that run on your own infrastructure with tight security. SmythOS is open source, deploys on cloud, on-prem, or edge, sandboxes components against data leakage, and exposes agents as an API, MCP server, or voice interface.
Capability coverage
10.5 / 14 capabilities · 75%
| Integrations & Tool CallingAgent Features research report + JSON Feature Rubric | Full |
|---|---|
| Workflow OrchestrationAgent Features research report + JSON Feature Rubric | Full |
| Knowledge Grounding & RAGAgent Features research report + JSON Feature Rubric | Partial |
| Human Oversight & GuardrailsAgent Features research report + JSON Feature Rubric | Unable to verify |
| Security, Identity & GovernanceAgent Features research report + JSON Feature Rubric | Partial |
| Observability & AuditabilityAgent Features research report + JSON Feature Rubric | Full |
| Memory & State PersistenceAgent Features research report + JSON Feature Rubric | Partial |
| Deployment & Data ResidencyAgent Features research report + JSON Feature Rubric | Full |
| Prebuilt Agents, Templates & PacksAgent Features research report + JSON Feature Rubric | Full |
| Triggers & Channel CoverageAgent Features research report + JSON Feature Rubric | Partial |
| Model Flexibility & RoutingAgent Features research report + JSON Feature Rubric | Full |
| APIs, SDKs & MCP ExtensibilityAgent Features research report + JSON Feature Rubric | Full |
| Testing, Debugging & OptimizationAgent Features research report + JSON Feature Rubric | Full |
| Browser & Computer UseAgent Features research report + JSON Feature Rubric | Partial |
Pricing
Free tier · paid plans + usage (Builder entry)
platform fee + model/runtime usage
Included quota
Free/Public: $5 credits/mo, 1 seat
What is public
SmythOS publishes one of the most detailed tier ladders in the set. Free/Public is $0 with $5 in free credits/month, 1 seat, public agents, and a 2.5× model usage cost multiplier. Builder is $39/seat/month with $20 free credits/month, 40% model usage discount, and 100 fast API calls/day. Startup is $399/month with $200 credits/month, 50% model discount, 5,000 API calls/day, and 10 team spaces / 3 seats. Scaleup starts at $1,499/month with $300 credits/month, 25,000 API calls/day, white labeling, and a forward-deployed engineer. Enterprise starts at $4,955/month with 100% model usage discount, unlimited agents/tasks/seats, on-prem/VPC deployment, OEM distribution, compliance tailoring, and custom retention policies. [80]
Billing mechanics
SmythOS docs are explicit that model and runtime usage is billed separately across all plans, that users can upgrade or downgrade anytime, and that extra seats or usage can be added as needed. That means the list price is only half the story; actual TCO also depends on model/runtime consumption. [81]
Cost watchouts
Model and runtime usage is billed separately from the platform fee on every plan, so total cost tracks agent activity; the SmythOS Runtime Environment is MIT open source and agents can be exported to run locally or on premise at no platform cost, which is the main cost escape valve.
Variable cost rationale
Platform fee, model/runtime usage, extra seats, and optional service retainers all add to TCO.
Overage / add-ons
Model/runtime billed separately; seats and usage can be added; higher tiers include white label/OEM
Sales call required
No — self-serve available
Free / trial
Free
Lowest paid plan
Builder tier (exact current price not published on primary pricing page; platform fee plus separate usage billing)
Key ambiguities
Enterprise “100% model usage discount” needs quote context to interpret TCO
Cancellation / refund
Upgrade/downgrade anytime per docs; refund terms n/p
Support SLA / resale
Strong support stratification; white labeling, OEM, on-prem/VPC, services upsells
Related vendors
- Acrab — Singapore compute infrastructure company building a full stack…
- AgentOps — Agent observability and reliability platform with broad model and…
- Agno — High-performance agent runtime and framework (formerly Phidata) with…
- AIsa — Unified resource and payment gateway for AI agents that lets them…
- AlphaBitCore — AI control plane that governs how models, agents, tools, and…
- Anchor Browser — Cloud hosted browser infrastructure that lets AI agents operate real…