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SmythOS

SmythOS is an intelligence orchestration platform for designing, observing, and deploying AI agents.

Place
#2 of 73
Score
8.5

What SmythOS is

SmythOS is an intelligence orchestration platform for designing, observing, and deploying AI agents. Its Studio provides a drag-and-drop canvas for building agents and workflows without code, while Agent Weaver can create, troubleshoot, and update workflows from conversational prompts. Agents can be deployed through chat, APIs, webhooks, MCP servers, and ChatGPT, or exported for local use. Listed integrations include Slack, Trello, GitHub, and Stripe, as well as support for OpenAPI and Postman collections. The platform supports models from OpenAI and Anthropic, Hugging Face models, and customer-provided models. Deployment options include SaaS, local, on-premises, and VPC; SmythOS says data can remain within the customer’s environment. Its security information describes zero-trust access controls, least privilege, fine-grained ACLs, and isolated agent contexts. The free Public plan is free and includes one seat. Paid plans include Builder at $39 a month and additional tiers with differing API-call limits and seats. Built-in model usage is billed separately according to usage.

Good

  • Studio builds agents and workflows without code.
  • Agent Weaver works from conversational prompts.
  • Agents can deploy through APIs, webhooks, and chat.
  • Supports local, on-premises, and VPC deployment.
  • Free Public plan includes one seat.

Watch out

  • Built-in model usage is billed separately.
  • Builder is limited to 100 fast API calls per day.
  • Free Public plan includes one seat.
  • Paid plans have differing call and seat limits.

Who it suits

SmythOS suits people building AI agents and workflows who want visual or prompt-based tools and multiple deployment options. Teams should account for plan-specific call and seat limits and separate model usage charges.

Verdict

SmythOS combines visual agent building with prompt-driven workflow creation and several deployment routes. Compare the plan limits and separate model charges with your expected use before selecting a tier.

Plans and prices

From SmythOS's own pricing page, checked 23 Sep 2026.

All about pricing
PlanPriceWhat it gives you
Public FreeFree1 seat · billed monthly
Builder$39 a month$20 free credits/month · 40% model usage discount · 100 fast API calls/day · private agents · unlimited Weaver AI messages · per seat/month
Startup$399 a month$200 free credits/month · 50% model usage discount · 5,000 fast API calls/day · 10 team spaces · 3 seats · RAG agents · per month
Scaleup$1,499 a month$300 free credits/month · 60% model usage discount · 25,000 fast API calls/day · 50 team spaces · 5 seats · forward-deployed engineer · white labeling · starting at per month
Enterprise$4,955 a month100% model usage discount · unlimited agents/tasks/API calls/team spaces · on-premises and VPC deployment · OEM distribution · custom retention · fine-tuned models · browser automation · starting from per month
PublicFree$5 free credits/month · 1 seat · 2.5× model usage cost · public agents · visual Agent IDE · free local deployment
Private Builder$39 a month$20 in free credits / mo. · 40% model usage discount · 100 fast API calls / day · Private Agents · Unlimited Weaver AI messages · per seat/month

The facts

Each one read from SmythOS's own pages, with the date it was checked.

What it does

Agent architecture
Agents combine components, skills, logic, memory, orchestration, prompts, and access controls and can operate through API, chat, voice, batch, or embedded interfaces.checked 14 Oct 2026
Agent creation
Agent Weaver can create, troubleshoot, and update agent workflows through conversational prompts.checked 11 Oct 2026
Agent Weaver
The product documentation describes Weaver as a prompt-driven way to create agents and workflows without coding.checked 14 Oct 2026
API surfaces
Published agents expose REST and WebSocket APIs, and SmythOS supports API, webhook, OpenAI-compatible LLM, and MCP deployments.checked 14 Oct 2026
CLI
The SRE CLI is installed with npm using @smythos/cli and scaffolds new SDK projects with the sre create command.checked 14 Oct 2026
Data protection
For SmythOS SaaS, the security page states that data in transit uses TLS 1.2+ and data at rest is encrypted using the cloud provider’s KMS.checked 11 Oct 2026
Deployment
Agents can be deployed through chat, APIs, webhooks, MCP servers, and ChatGPT, or exported to run locally.checked 11 Oct 2026
Deployment isolation
The product supports cloud, on-premises or VPC, and on-device deployments, including local-model operation for keeping data inside customer infrastructure.checked 14 Oct 2026
Documentation
The documentation site covers Studio, Weaver, Runtime, deployments, collaboration, templates, account management, SDK usage, components, integrations, and self-hosting.checked 14 Oct 2026
Encryption
The security documentation states that SaaS traffic uses TLS 1.2 or newer and stored data uses cloud-provider key-management encryption.checked 14 Oct 2026
Integrations
Documented integrations include OpenRouter, Replicate, Stability AI, ElevenLabs, PlayHT, Perplexity, Tavily, Fal.ai, Hugging Face, Google Translate, and OpenAPI.checked 14 Oct 2026
Legal identity and founders
Crunchbase lists the legal name as SmythOS, a sub-organization of INK Content Inc., founded by Alexander De Ridder, Gary Haymann, and Michael Umansky.checked 14 Oct 2026
License
The SRE runtime, SDK, and CLI repository is open source under the MIT License.checked 14 Oct 2026
Limit: interface complexity
A G2 reviewer says the interface can become cluttered on complex workflows and asks for a lower-noise advanced mode.checked 14 Oct 2026
Limit: refunds
A Trustpilot reviewer complained that there was no direct refund option; the company replied that paid-plan refunds are handled case by case.checked 14 Oct 2026
Model charges
The pricing page says built-in model usage is billed separately from the subscription according to usage.checked 11 Oct 2026
Models
SmythOS says it supports models from providers including OpenAI and Anthropic, plus Hugging Face models and customer-provided models.checked 11 Oct 2026
Notable news: open sourcing
A June 17, 2025 press release announced SmythOS's transition to open source, beginning with the SRE runtime, SDK, CLI, and new documentation.checked 14 Oct 2026
OpenAI-compatible API
LLM deployment provides versioned OpenAI-compatible chat-completions endpoints callable from Python, Node.js, Make, Zapier, n8n, or any OpenAI SDK.checked 14 Oct 2026
Open source runtime
SmythOS describes its Runtime Environment as an open-source runtime and SDK for production AI agents, with more than 40 components.checked 11 Oct 2026

The company

Company headquarters and size
LinkedIn lists SmythOS as a privately held Houston, Texas technology company with 11–50 employees.checked 14 Oct 2026
Founded year
Built In lists SmythOS as founded in 2023 with 50 total employees.checked 14 Oct 2026
Headquarters
Houston, Texas, United Stateschecked 28 Sep 2026
Owner evidence
A USPTO trademark record identifies Delaware corporation INK Content, Inc. as the owner of the SMYTHOS mark and gives a Houston address.checked 14 Oct 2026
The full review of SmythOS

SmythOS is an AI agent platform for building, managing, and deploying agents through visual tools or conversational prompts. It is best suited to teams that need multiple ways to connect and host agents; buyers should weigh its API quotas and separate model charges against those needs.

Overview

SmythOS brings agent creation, observation, and deployment together. Its Studio provides a drag-and-drop canvas, while Agent Weaver can create, troubleshoot, and update workflows from prompts. This combination makes it a practical fit for both visual builders and teams that prefer to describe workflow changes conversationally. It is less compelling for buyers seeking a simple, fixed-cost product: built-in model usage is billed separately, and plan quotas vary substantially.

Key features

Agent creation and integrations

The visual builder lets users assemble agents and workflows without code; Agent Weaver adds a prompt-based way to create and revise them. Prebuilt connections include Slack, Trello, GitHub, and Stripe, with OpenAPI and Postman collection support for connecting other services. Support for OpenAI and Anthropic models, Hugging Face models, and customer-provided models gives teams options, but does not remove separate usage charges for built-in models.

Deployment and security

Agents can be deployed through chat, APIs, webhooks, MCP servers, and ChatGPT, or exported to run locally. SmythOS also supports local, on-premises, and VPC deployment, including keeping data within a customer's environment. Its security approach describes zero-trust access controls, least privilege, fine-grained ACLs, and isolated agent contexts. For its SaaS service, data in transit uses TLS 1.2+ and data at rest is encrypted using the cloud provider's KMS. HashiCorp Vault and AWS Secrets Manager integrations support secret management. These controls and deployment choices suit organizations with specific security or hosting requirements; customers should distinguish SaaS protections from the additional control of self-hosting.

Runtime and scheduled work

The open-source Runtime Environment and SDK include more than 40 components for production agents. Scheduled runs and web browsing are supported, making the platform relevant to workflows that need timed execution or web access.

Pricing

SmythOS has free and paid options, but the plan names and terms matter: Public and Public Free are separate free offerings, while Builder and Private Builder are separate paid plans. Built-in model usage is billed separately according to usage except where a plan states a model usage discount or credit. Compare those charges with the included credits and any discount before estimating total cost.

  • Public: free, billed Totally Free. Includes $5 in free credits per month, one seat, public agents, a visual agent IDE, bring-your-own-model support, and free local deployment. Model usage costs 2.5x. This is the clearest starting point for an individual who can work with public agents and wants to try local deployment; the higher model cost and public-agent limitation make it a weaker fit for private team workflows.
  • Public Free: free, billed monthly, with one seat. It is a no-cost option for a solo user, but the plan terms provide fewer stated inclusions than Public.
  • Builder: $39 a month, billed monthly, with 100 fast API calls per day. This is the entry paid plan for modest API use, but its daily quota is far below the higher tiers.
  • Private Builder: $39 a month, billed per seat/month. It includes $20 in free credits per month, a 40% model usage discount, 100 fast API calls per day, private agents, and unlimited Weaver AI messages. It suits a solo builder who needs private agents and frequent prompt-based workflow work, though API capacity remains limited.
  • Startup: $399 a month, billed per month. It includes $200 in free credits per month, a 50% model usage discount, 5,000 fast API calls per day, 10 team spaces, three seats, RAG Agents, and collaboration features. The larger quota and team tools suit a small group with sustained agent activity, but the plan remains capped at three seats.
  • Scaleup: $1,499 a month, billed starting at $1,499 per month. It includes $300 in free credits per month, a 60% model usage discount, 25,000 fast API calls per day, 50 team spaces, five seats, a forward deployed engineer, priority support, and white labeling. It fits teams that need substantially more API capacity and priority assistance; five seats still limits larger teams.
  • Enterprise: $4,955 a month, billed starting from $4,955 per month. It includes a 100% model usage discount, unlimited agents, tasks, fast API calls per day, team spaces, and seats, plus on-premises and VPC deployment, OEM distribution, compliance tailoring, and custom retention policies. This is aimed at organizations requiring broad capacity and deployment or compliance controls; the starting price makes it a poor match for small or occasional projects.

Support ranges from community support to personal priority and team priority support, with forward deployed engineer support on higher tiers. The 100 daily calls on Builder and Private Builder are a meaningful constraint for production workloads, while Startup and higher tiers raise that ceiling at a steeply higher subscription price.

Platforms

SmythOS supports API, Linux, macOS, self-hosted, web, and Windows environments. This range supports teams working across hosted and local setups, including those that need to run agents within their own infrastructure.

Who it's for

SmythOS is a strong match for teams building AI agents that need visual and prompt-driven workflow creation, integrations, and several deployment paths. Public can serve individuals exploring the platform, while Private Builder adds private agents and discounted model usage for a solo paid user. Teams should consider Startup or Scaleup when seat and API limits become restrictive. Organizations needing on-premises or VPC deployment, unlimited seats, or tailored retention have a clearer case for Enterprise. It is less suitable for users who need predictable all-in costs or only a small API quota.

Pros and cons

  • Pro: Visual Studio and Agent Weaver offer two distinct ways to create and maintain workflows, serving both canvas-based builders and prompt-first users.
  • Pro: Chat, API, webhook, MCP, ChatGPT, and local deployment options accommodate different ways of delivering agents.
  • Pro: Self-hosting, VPC, and on-premises support, alongside access controls and vault integrations, give security-conscious organizations deployment and credential-management choices.
  • Con: Built-in model usage is generally charged separately, so the subscription price alone does not show the full cost.
  • Con: Builder and Private Builder cap fast API calls at 100 per day, which can constrain heavier use.
  • Con: Seat limits on Startup and Scaleup are three and five respectively, so growing teams may need a higher tier.

Alternatives

Consider these alternatives if their platform focus or plan structure better fits your project:

  • Microsoft Copilot is a freemium option for readers seeking an app across web, Windows, macOS, iOS, and Android; its Free plan has limited access subject to capacity and usage limits.
  • Vellum offers a free starting point with first tasks included and pay-as-you-go credits, and a $30/month Mighty plan; consider it when that credit-based entry better suits your workflow.
  • Camunda has a free Self-Managed Development plan for local development and testing; consider it when that development scope is the priority.
  • Flowise has a free plan with 2 Flows & Assistants, 100 Predictions / month, and 5MB Storage; consider it for a smaller free allocation of flows and predictions.
  • Google Agent Development Kit is a free, open-source framework; consider it when a framework rather than SmythOS's paid orchestration plans is the better fit, bearing in mind that model and cloud service usage may require separate access or billing.
  • Houston has a free personal workspace for up to three people and includes access to its integrations; consider it if that team size and workspace model suit your needs.
  • Retool offers a free plan and a Team plan priced at $10/mo per builder and $5/mo per internal user; consider it when that per-user pricing better matches your team.
  • Helios offers a free plan with 5,000 starting credits and community support; consider it if that credit-based free entry is a better match.

For more options, browse AI Agent Platforms or AI Agent Builders.

Verdict

Choose SmythOS if your team needs flexible agent creation and deployment, particularly when self-hosting, API delivery, or workflow integrations matter. Its strongest case is the range of build and deployment routes paired with enterprise hosting controls. Look elsewhere if you need a predictable total cost or a generous low-tier API quota: model usage can add to the subscription, and the entry paid plans allow only 100 fast API calls per day.

Getting started

  1. Visit https://smythos.com/.
  2. Choose a free plan or a paid plan starting at $39 a month.
  3. Use Studio's drag-and-drop canvas or Agent Weaver's conversational prompts to build workflows.
  4. Choose a deployment route such as chat, APIs, webhooks, MCP servers, ChatGPT, or local export.

Limits worth knowing

Public Free includes one seat. Builder includes 100 fast API calls per day; higher tiers list higher quotas, up to unlimited on Enterprise. Built-in model usage is billed separately according to usage.

Questions

Is there a free plan?

Yes. SmythOS lists free plans, including Public Free at no cost and Public at no cost.

How much do paid plans cost?

Builder is $39 a month.

Which platforms does SmythOS support?

It lists API, Linux, macOS, self-hosted, web, and Windows.

Does it integrate with other services and model providers?

Listed integrations include Slack, Trello, GitHub, and Stripe, plus OpenAPI and Postman collections. Supported model sources include OpenAI, Anthropic, Hugging Face, and customer-provided models.

Is any part of SmythOS open source?

SmythOS describes its Runtime Environment as an open-source runtime and SDK for production AI agents, with more than 40 components.

Are model charges included in the subscription?

Built-in model usage is billed separately from the subscription according to usage.

Alternatives to SmythOS

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