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SmythOS

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Entry priceFree tier · paid plans + usage (Builder entry)Full pricing detail

Open-source agent operating system pairing a visual builder and SDK with a runtime for deploying and governing agents across cloud, on-premises and edge.

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

Funding status

SmythOS is an INK Content, Inc. company, based in Houston, Texas. The founders have worked together since 2013 and the parent spun out of their previous exit in 2021, moving fully into agent infrastructure from March 2023. No external funding round is disclosed on the vendor's own pages.

Company status

independent

Use cases & customers

Target customers

enterprisesdevelopers

Deployment options

SaaSself-hosted

Integrations

Seventy-six named integrations in the Studio catalogue across eight vendor-defined classes: workflow triggers, AI models and tools, data and knowledge, business apps, messaging and alerts, analytics and scraping, developer tools, and publishing. Includes HubSpot, Jira, Linear, Asana, ClickUp, Trello, Shopify, Stripe, Google Workspace, SharePoint, Notion, Airtable, Slack, Teams, Discord, Telegram, Twilio, SendGrid, Supabase, Firestore, Upstash and WordPress, plus a generic OpenAPI component and a 40-plus component library.

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.

Agentic Index coverage score

11.5 / 14 capabilities · 82%

Integrations & Tool Calling Full

The integrations documentation enumerates 76 named integrations grouped into eight classes the vendor labels itself: workflow triggers, AI models and tools, data and knowledge, business apps, messaging and alerts, analytics and scraping, developer tools, and publishing.

Breadth spans CRM (HubSpot, GoHighLevel), project and issue tracking (Jira, Linear, Asana, ClickUp, Trello), commerce and payments (Shopify, Stripe), storage and productivity (Google Workspace, SharePoint, OneDrive, Notion, Airtable), messaging (Slack, Teams, Discord, Telegram, Twilio), email (Gmail, SendGrid, Mailchimp, Resend), databases (Supabase, Firestore, Upstash) and CMS (WordPress, Webflow, Squarespace).

Credentials are stored once in the Vault and actions wired into any flow without HTTP or SDK work, alongside a 40-plus component library and a generic OpenAPI component for anything unlisted.

Sourcesmythos.com/docs/agent-studio/integrationsread 2026-09-01

Workflow Orchestration Full

Multi-agent orchestration is the product's stated purpose: cooperative planners, delegators and specialists, with one agent able to review and refine another's output, and a SmythOS Agents component that lets an agent call other built-in agents as tools.

The runtime carries orchestration as a kernel responsibility rather than a graph library, documenting retries, cancellation, priorities, shared memory and message buses, with packaging, isolation and lifecycle management across local, cloud and edge.

Workflows are built on a drag-and-drop canvas with logic components and multi-step reasoning, and a single agent specification spans Studio, SDK and CLI without rewrites.

Sourcesmythos.com/product/agent-runtime, /docs/agent-studio/overview and /docs/agent-studio/integrationsread 2026-09-01

Knowledge Grounding & RAG Full

Studio ships a first-party Data Pool with Data Spaces, documented as centralising the agent's knowledge base with structured storage and retrieval, which is a maintained retrieval structure the customer populates rather than per-request assembly. The runtime exposes vector databases as an OS-level abstraction alongside storage and caching, and the security documentation confirms embeddings are held and encrypted as a first-class data type. Graded on the first-party knowledge store; the third-party document and database connectors are counted on Integrations, not here.

Sourcesmythos.com/docs/agent-studio/overview and /product/securityread 2026-09-01

Human Oversight & Guardrails Partial

One configurable guardrail is shipped and no approval mechanism is: components can be disabled or removed entirely from a bundle so they are unavailable to agents, which lets the buyer decide what an agent may never do. The Full bar asks for oversight as a configurable control over sign-off, meaning who approves which actions and what happens when nobody does, and none of that is documented: no per-action approval step, no pause-and-confirm, no review queue and no escalation path was retrieved on either pass.

The control-plane language on the homepage is a governance essay rather than a shipped mechanism and is refused. Note that the access-control surface, the ACL and Candidate system and the four named roles, is graded on Security and is not counted again here. Resolves an Unspecified cell on the guardrail half alone; the published Partial marker describes a human handoff in one place, which this record also lacks, so the grade rests on guardrail configurability under the axis definition rather than on that marker.

Sourcesmythos.com/product/securityread 2026-09-01

Security, Identity & Governance Partial

Three of the four published Full controls are documented and one is missing.

Present: a named access model, with an internal ACL and Candidate system enforcing least privilege plus role-based access naming Super Admin, Agent Viewer, Integration Engineer and Agent Builder, per-space key vaults and strict per-tenant and per-agent namespace isolation; an audit surface, with logs of agent activity, execution flows and access decisions, configurable verbosity, SIEM aggregation and regex redaction; and a compliance page a buyer can read without a call, covering vault integration with HashiCorp Vault and AWS Secrets Manager, TLS 1.2+, and KMS encryption at rest.

Missing: identity integration, with no SSO or SAML documented anywhere on the security page or product pages. No certification of any kind is published either, so a buyer gets a detailed account of who can make an agent do what and no independent assurance of it. Held at Partial on the missing identity half rather than on the absent attestation, which the published bar does not require for Full.

Sourcesmythos.com/product/securityread 2026-09-01

Observability & Auditability Full

The security documentation describes full audit logs of agent activity, execution flows and access decisions exposed through the SRE logging interface, with verbosity configurable up to high and the option to track specific components, real-time logging and monitoring for debugging and incident response including third-party token usage, aggregation into enterprise SIEM systems for analysis, auditing and alerting, and partial redaction driven by patterns and regular expressions with a worked example redacting an authentication token.

The reconstruction half is met by the canvas walkthrough of each step of the agent's reasoning from raw input received to decision returned, and Studio ships an analytics view for token usage and cost. Logged access decisions are the vendor's own runtime output, not the customer's systems supplying the record.

Sourcesmythos.com/product/security and /docs/agent-studio/overviewread 2026-09-01

Memory & State Persistence Partial

Memory is documented as a primitive rather than as a persistence product.

Studio states that workflows are built with logic, memory and multi-step reasoning, the runtime carries shared memory alongside retries, cancellation and priorities as a kernel responsibility, the security documentation treats cached memory as a first-class encrypted data type, and the Upstash integration is offered for storing session data using Redis or Kafka.

What was not retrieved on either pass is the discriminator for Full: no documentation of state persisting across sessions and addressable by the agent, whether accumulated automatically or wired from the supplied primitives. The dedicated components reference was not opened and would settle this cell.

Sourcesmythos.com/docs/agent-studio/overview, /product/security and /product/agent-runtimeread 2026-09-01

Deployment & Data Residency Full

Three deployment surfaces are documented with distinct data postures: the multi-tenant SmythOS SaaS with per-tenant logical segregation; on-premises or VPC deployment inside the customer's own data centre or cloud, stated to guarantee that data never leaves the customer's environment and to support internal residency and monitoring policies; and on-device deployment bundling one or more agents with the runtime into a standalone executable for controlled or offline environments. Studio itself is self-hostable from a Docker community image, the runtime is MIT-licensed at roughly 50 megabytes and runs on cloud, on-premises, edge, desktop, mobile or containers with GPU optional, and storage backends are selectable between local disk or RAM and remote S3 or Redis.

Sourcesmythos.com/product/security, /docs/agent-studio/self-hosted/docker-community and github.com/SmythOS/sreread 2026-09-01

Prebuilt Agents, Templates & Packs Full

A browsable template catalogue is published at smythos.com/templates and carries its own documentation domain, described as prebuilt customisable templates for common use cases that a customer picks, drags, drops and deploys with no code, spanning support, research and operations. The vendor frames these as instant agent blueprints organised by department, and the Studio documentation lists template-started builds alongside the quickstart as a first-class entry route. Packaged assets adoptable directly by the customer rather than configurations assembled by the vendor's team.

Sourcesmythos.com/templates and /docs/agent-templates/overviewread 2026-09-01

Triggers & Channel Coverage Full

The integrations documentation opens with a Start Workflows section stating agents can be triggered by forms, calendar events, chat messages or webhooks, and names nine trigger integrations: Slack slash commands and mentions, Discord bot messages, Telegram bot commands, Google Calendar and Microsoft Calendar events, Google Chat space triggers, Microsoft Teams channel messages, Ayrshare social post triggers and tl;dv meeting transcripts. The Studio documentation adds deployment to production via chat, API or webhooks, and the product site documents scheduled runs where agents clock in automatically, bulk CSV-driven runs, and web chat and voice as delivery surfaces.

Sourcesmythos.com/docs/agent-studio/integrations and /docs/agent-studio/overviewread 2026-09-01

Model Flexibility & Routing Full

The customer chooses the model across three documented tiers: public API models with OpenAI, Google Gemini, Groq and Perplexity named; hosted enterprise services with Google Vertex AI and AWS Bedrock named, retaining provider-level residency and compliance; and local or self-hosted models run on-premises or in a private cloud so no data leaves the customer's environment.

The product site states models can be switched and added on the fly without a rebuild or redeploy, and the integration catalogue adds OpenRouter for unified access to GPT, Claude and Mistral, plus Hugging Face and Replicate for open-weight models. Model choice is a first-class control surface, not vendor-internal routing.

Sourcesmythos.com/product/security, /product/agent-runtime and /docs/agent-studio/integrationsread 2026-09-01

APIs, SDKs & MCP Extensibility Full

A finished agent can be exposed as an API, a model endpoint, an MCP server, a web chat or a voice interface, which makes the platform callable from outside by a documented interface rather than only usable inside it.

The runtime, CLI and SDK are published open source under the MIT licence with SDK and core documentation and runnable examples, the Studio is available as a Docker image, an embeddable route is documented, and an OpenAPI component generates flows from specifications or tests endpoints.

The vendor also publishes an MCP server that spawns Linux sandbox containers, credited here rather than on Model under the one-line test, since the caller is the customer's assistant.

Sourcesmythos.com/docs/agent-deployments/overview, github.com/SmythOS/sre and github.com/SmythOSread 2026-09-01

Testing, Debugging & Optimization Partial

Studio documents no-code debugging and testing that inspects live runs and fixes issues inside the canvas, with a dedicated Debugging Agents guide and a step-through of the agent's reasoning from the raw input received to the decision returned.

What is absent is a criterion: nothing states what a run is being checked against, so the surface reveals what happened without deciding whether it was right. That is inspection rather than evaluation, and it is the published Partial marker for this axis, debugging rather than testing. No evaluation harness, scored test case or gate that passes or fails was retrieved on either pass.

Sourcesmythos.com/docs/agent-studio/overview and /docs/agent-studio/build-agents/debugging; smythos.com/docs/agent-studio/build-agents/debuggingread 2026-09-01

Browser & Computer Use Partial

Third-party browser and retrieval engines are wired in as integrations rather than owned by the platform, which is the published Partial case for this axis. The Studio catalogue ships ScrapingBee as a web scraping API and AvesAPI for SERP scraping, alongside Perplexity and Tavily as search APIs, so the agent reaches pages it does not have an interface to.

What is absent is the Full case: no hosted or local browser the platform drives itself, no desktop session and no remote computer control appears anywhere in the component library, the runtime documentation or the security page. The Linux sandbox containers spawned by the vendor's Docker orchestration MCP server are an execution environment, not interface control, and are excluded. Corrected from an initial grade of none, which read scraping as zero; the published bar places wired-in third-party engines at Partial.

Sourcesmythos.com/docs/agent-studio/integrations and github.com/SmythOSread 2026-09-01

The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Free tier · paid plans + usage (Builder entry)

platform fee + model/runtime usage

Free tier

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

Agentic Index verified 2026-07-06

Alternatives to SmythOS

The closest documented capability profiles to SmythOS among agent infrastructure platforms tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

  • Paragon11.5 / 14Fuller documented coverage on Security, Identity & Governance
  • Pipecat10.0 / 14A lighter documented profile than SmythOS
  • Agno12.5 / 14Fuller documented coverage on Human Oversight & Guardrails and Security, Identity & Governance
  • Waniwani9.5 / 14A lighter documented profile than SmythOS
  • xpander.ai10.5 / 14Fuller documented coverage on Memory & State PersistenceSmythOS vs xpander.ai →
  • Inworld AI Agent Runtime11.0 / 14Fuller documented coverage on Memory & State Persistence and Testing, Debugging & Optimization

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

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