SmythOS
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 is built as an operating system for AI agents. Just as a traditional OS manages a computer's resources and gives applications a consistent way to use them, SmythOS manages AI resources such as language models, vector databases, storage and caching, and exposes them through a unified interface so an agent built once can run anywhere. Its runtime covers orchestration, deployment, observability, versioning and lifecycle management, the work of turning a demo built from a framework's chains and flows into a dependable product.
At the core is an open source runtime, released under the MIT license and inspired by operating system kernel design. It handles retries, cancellation, priorities, shared memory, packaging and isolation for agents in production, 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, and one agent can review and refine another's output. Components are fully sandboxed so they only see what they need, an approach aimed at preventing data leakage.
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 premises or enterprise cloud options, with built in observability, role based access and auditable logs.
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
Deployment options
Integrations
Seventy-six named integrations in the Studio catalog 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.
Sources & related URLs
Related / legacy domains
Agentic Index coverage score
12.0 / 14 capabilities · 86%
| Integrations & Tool Calling | Full |
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SmythOS lists 76 named integrations grouped into eight classes, workflow triggers, AI models and tools, data and knowledge, business apps, messaging and alerts, analytics and scraping, developer tools, and publishing. They span 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 |
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| Workflow Orchestration | Full |
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SmythOS is built for orchestrating several agents together, with cooperative planners, delegators and specialists, 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 handles orchestration as a kernel responsibility rather than a graph library, with retries, cancellation, priorities, shared memory and message buses, plus 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 |
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| Knowledge Grounding & RAG | Full |
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Studio ships a Data Pool with Data Spaces that centralizes the agent's knowledge base with structured storage and retrieval, which the customer populates. The runtime exposes vector databases as an OS-level abstraction alongside storage and caching, and embeddings are held and encrypted as a first-class data type. Third party document and database connectors sit alongside this store as integrations. Sourcesmythos.com/docs/agent-studio/overview and /product/securityread 2026-09-01 |
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| Human Oversight & Guardrails | Partial |
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Components can be disabled or removed entirely from a bundle so they are unavailable to agents, which lets the customer decide what an agent may never do. SmythOS offers no control over sign-off, meaning who approves which actions and what happens when nobody does, and has no approval step per action, no pause to confirm, no review queue and no escalation path. The ACL and Candidate system and the four named roles govern access. SmythOS does not describe a single human handoff point either. Sourcesmythos.com/product/securityread 2026-09-01 |
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| Security, Identity & Governance | Full |
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Access runs through fine-grained ACLs in an internal ACL and Candidate system that decides which agents and users reach which resources, least privilege for every component and agent with no implicit trust between them, per-space key vaults and per-tenant and per-agent namespace isolation. Data is encrypted at every stage, with TLS 1.2+ in transit and KMS at rest, HashiCorp Vault and AWS Secrets Manager integration, and logs of agent activity, execution flows and access decisions. SmythOS publishes no SOC 2, ISO 27001 or other attestation and does not describe SSO or SAML. Sourcesmythos.com/product/securityread 2026-10-01 |
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| Observability & Auditability | Full |
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Full audit logs record agent activity, execution flows and access decisions through the SRE logging interface, with verbosity configurable up to high and the option to track specific components. Logging and monitoring in real time support debugging and incident response, including third-party token usage, logs aggregate into enterprise SIEM systems for analysis, auditing and alerting, and partial redaction driven by patterns and regular expressions can hide values such as an authentication token. The canvas walks through each step of the agent's reasoning from raw input received to decision returned, and Studio has an analytics view for token usage and cost. Sourcesmythos.com/product/security and /docs/agent-studio/overviewread 2026-09-01 |
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| Memory & State Persistence | Partial |
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Studio builds workflows with logic, memory and multi-step reasoning, the runtime carries shared memory alongside retries, cancellation and priorities as a kernel responsibility, cached memory is encrypted as a first-class data type, and the Upstash integration stores session data using Redis or Kafka. SmythOS does not describe state that persists across sessions and that the agent can address, whether accumulated automatically or wired from these building blocks. Sourcesmythos.com/docs/agent-studio/overview, /product/security and /product/agent-runtimeread 2026-09-01 |
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| Deployment & Data Residency | Full |
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SmythOS runs in three ways, each with its own data posture. The multi-tenant SmythOS SaaS segregates tenants logically, on-premises or VPC deployment inside the customer's own data center or cloud is stated to guarantee that data never leaves the customer's environment and supports internal residency and monitoring policies, and on-device deployment bundles 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 |
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| Prebuilt Agents, Templates & Packs | Full |
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A browsable template catalog at smythos.com/templates offers prebuilt customizable templates for common use cases that a customer picks, drags, drops and deploys with no code, spanning support, research and operations. SmythOS calls them instant agent blueprints organized by department, and starting from a template is one of the main ways into Studio alongside the quickstart. Customers adopt these packaged assets directly, without the vendor's team assembling configurations for them. Sourcesmythos.com/templates and /docs/agent-templates/overviewread 2026-09-01 |
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| Triggers & Channel Coverage | Full |
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Agents can be triggered by forms, calendar events, chat messages or webhooks, through 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. Agents deploy to production via chat, API or webhooks, and SmythOS also offers scheduled runs where agents clock in automatically, bulk runs driven by CSV, and web chat and voice as delivery surfaces. Sourcesmythos.com/docs/agent-studio/integrations and /docs/agent-studio/overviewread 2026-09-01 |
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| Model Flexibility & Routing | Full |
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Customers pick models from three tiers, public API models with OpenAI, Google Gemini, Groq and Perplexity named, hosted enterprise services with Google Vertex AI and AWS Bedrock named, which keep 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. Models can be switched and added on the fly without a rebuild or redeploy, and the integration catalog adds OpenRouter for unified access to GPT, Claude and Mistral, plus Hugging Face and Replicate for open-weight models. Sourcesmythos.com/product/security, /product/agent-runtime and /docs/agent-studio/integrationsread 2026-09-01 |
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| APIs, SDKs & MCP Extensibility | Full |
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A finished agent can be exposed as an API, a model endpoint, an MCP server, a web chat or a voice interface, so outside systems can call it. The runtime, CLI and SDK are open source under the MIT license with SDK and core documentation and runnable examples, the Studio is available as a Docker image, an embeddable route is available, and an OpenAPI component generates flows from specifications or tests endpoints. SmythOS also publishes an MCP server that spawns Linux sandbox containers for the customer's assistant to call. Sourcesmythos.com/docs/agent-deployments/overview, github.com/SmythOS/sre and github.com/SmythOSread 2026-09-01 |
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| Testing, Debugging & Optimization | Partial |
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Studio offers no-code debugging and testing that inspects live runs and fixes issues inside the canvas, with a Debugging Agents guide and a step-through of the agent's reasoning from the raw input received to the decision returned. SmythOS does not say what a run is checked against, so the step-through shows what happened without deciding whether it was right, and it offers no evaluation harness, scored test case or gate that passes or fails. Sourcesmythos.com/docs/agent-studio/overview and /docs/agent-studio/build-agents/debugging; smythos.com/docs/agent-studio/build-agents/debuggingread 2026-09-01 |
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| Browser & Computer Use | Partial |
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Third-party browser and retrieval engines are wired in as integrations. The Studio catalog includes ScrapingBee as a web scraping API and AvesAPI for SERP scraping, alongside Perplexity and Tavily as search APIs, so the agent reaches pages it has no interface to. SmythOS has no hosted or local browser that it drives itself, no desktop session and no remote computer control, and the Linux sandbox containers spawned by its Docker orchestration MCP server are an execution environment, not interface control. Sourcesmythos.com/docs/agent-studio/integrations and github.com/SmythOSread 2026-09-01 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented 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
Builder at $39 per seat a month, plus model and runtime usage. Startup is $399 a month, Scaleup starts at $1,499 and Enterprise at $4,955. A free tier is offered.
A platform fee, per seat on Builder and flat on the higher plans, plus model and runtime usage billed separately.
Included quota
The Free (Public) plan includes $5 in credits a month and 1 seat.
What is public
Free (Public) is $0 with $5 in free credits a month, 1 seat, public agents and a 2.5 times model usage cost multiplier. Builder is $39 per seat a month with $20 in free credits a month, a 40% model usage discount and 100 fast API calls a day. Startup is $399 a month with $200 in credits a month, a 50% model discount, 5,000 API calls a day, 10 team spaces and 3 seats. Scaleup starts at $1,499 a month with $300 in credits a month, 25,000 API calls a day, white labeling and a forward deployed engineer. Enterprise starts at $4,955 a month with a 100% model usage discount, unlimited agents, tasks and seats, on premises or VPC deployment, OEM distribution, compliance tailoring and custom retention policies.
Billing mechanics
Model and runtime usage is billed separately on every plan. Customers can upgrade or downgrade at any time, and extra seats or usage can be added as needed. Total cost depends on model and runtime consumption as well as the list price.
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 premises at no platform cost, which is the main cost escape valve.
Variable cost rationale
Model and runtime usage is metered and billed separately from the platform fee on every plan, so the bill grows with agent activity. Each plan carries monthly credits ($5 on Free, $20 on Builder, $200 on Startup and $300 on Scaleup) and a model usage rate that falls as plans rise, from a 2.5 times cost multiplier on Free to discounts of 40% on Builder and 50% on Startup and a 100% discount on Enterprise. Extra seats and optional service retainers add to the platform fee. No usage cap or spending control is published. The plan choice limits the bill through its credits and model discount, and the open source SmythOS Runtime Environment (MIT) lets agents be exported to run locally or on premises at no platform cost.
Overage / add-ons
Model and runtime usage is billed separately, and extra seats ($39 each) and usage can be added. Higher tiers include white labeling and OEM distribution.
Sales call required
No, self serve available
Free / trial
Free plan with $5 in credits a month and 1 seat, no card required
Lowest paid plan
Builder at $39 per seat per month, plus model and runtime usage
Key ambiguities
Enterprise carries a "100% model usage discount", and what that discount covers in total cost is set in the quote.
Cancellation / refund
Plans can be upgraded or downgraded at any time. Refund terms are not published.
Support SLA / resale
Community support on Free, Builder and Startup, a forward deployed engineer on Scaleup and priority support on Enterprise. White labeling, OEM distribution, on premises or VPC deployment and services are sold on the higher plans.
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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.
- Cartesia10.5 / 14A lighter documented profile than SmythOS
- Kestra12.5 / 14Fuller documented coverage on Human Oversight & Guardrails and Memory & State Persistence
- nexos.ai11.5 / 14Fuller documented coverage on Human Oversight & Guardrails
- Sourcegraph11.5 / 14Fuller documented coverage on Human Oversight & Guardrails
- Agno13.0 / 14Fuller documented coverage on Human Oversight & Guardrails and Memory & State Persistence
- Haystack12.0 / 14Fuller documented coverage on Human Oversight & Guardrails 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