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- q: "What makes an AI builder friendly to non-engineers?"
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a: "You should be able to connect steps visually, test outputs, and deploy a workflow without writing code. Sim also lets you build and edit workflows through plain-language requests."
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- q: "Does Vellum have a free plan?"
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a: "Vellum does not publish pricing for its AI development platform on vellum.ai. The vellum.ai pricing page lists plans for its personal assistant product: Mighty at $30 per month, Super at $100, Ultra at $200, and a configurable Custom plan. A banner on that page says the Personal Assistant platform shuts down on November 2, 2026."
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a: "Vellum does not publish pricing for its AI development platform on vellum.ai. The vellum.ai pricing page covers only its Personal Assistant product, which offers a free start with your first tasks included, then Mighty at $30 per month, Super at $100, Ultra at $200, and a configurable Custom plan. A banner on that page says the Personal Assistant platform shuts down on November 2, 2026."
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- q: "Is Sim really free to self-host?"
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a: "Yes. Sim's Apache 2.0-licensed core has no self-hosting license fee, and you can run it with Docker Compose or Kubernetes. You still pay for your infrastructure and any model usage. Enterprise features such as SSOneed an Enterprise subscription for production use under the Sim Enterprise License: https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE."
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a: "Yes. Sim's Apache 2.0-licensed core has no self-hosting license fee, and you can run it with Docker Compose or Kubernetes. You still pay for your infrastructure and any model usage. Enterprise features such as single sign-on (SSO), which lets people log in with their company account, need an Enterprise subscription for production use under the Sim Enterprise License."
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- q: "How does evaluation tooling differ?"
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a: "Vellum runs Test Suites of test cases with expected outputs, scored by metrics from 0 to 1, for regression testing before you deploy a change to a Prompt or Workflow. Sim offers an Evaluator block for scoring workflow outputs and a Guardrails block for validation. Relevance AI lists agent evaluations on Enterprise and A/B testing on Team and Enterprise, Gumloop has an Evaluations view on each agent's Performance page, and Dify and Langflow focus on debugging tools such as run history, Playground testing, and traces."
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- q: "How can I migrate from Vellum?"
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## TL;DR
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-**Best overall: Sim.**Non-engineers can build and deploy AI agents in the visual builder or ask Sim in Chat to create and edit workflows. Sim Cloud has a free plan, and [Sim's Apache 2.0 core can be self-hosted, with enterprise features covered by a separate license](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE). See the [Sim and Vellum comparison](https://www.sim.ai/comparisons/vellum).
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-**Sim**ranks first. It is an open-source AI workspace for teams, where non-engineers can build and deploy AI agents in the visual builder or ask Sim in Chat to create and edit workflows. Sim Cloud has a free plan, and [Sim's Apache 2.0 core can be self-hosted, with enterprise features covered by a separate license](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE). See the [Sim and Vellum comparison](https://www.sim.ai/comparisons/vellum).
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-**Gumloop** is best for business teams that want an AI agent builder that starts from a description of the job.
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-**Relevance AI** is best for go-to-market teams that want self-serve agent plans and an enterprise upgrade path.
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-**Dify** is best for teams that want a visual builder with a free, self-hostable Community edition.
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| Rank and tool | How you build | Evaluation and testing | Deployment | Self-hosting | Starting price |
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|---|---|---|---|---|---|
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| 1. [Sim](https://www.sim.ai/comparisons/vellum)| Visual builder, plus Chat for creating and editing workflows in plain language |[Evaluator](https://docs.sim.ai/workflows/blocks/evaluator) and [Guardrails](https://docs.sim.ai/workflows/blocks/guardrails) blocks |[API, chat interface, scheduled or webhook trigger, or MCP server tool](https://docs.sim.ai/workflows/deployment)|[Apache 2.0 core via Docker Compose or Kubernetes; enterprise features are separately licensed](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE)|[Free; Pro from $25 per user per month](https://www.sim.ai/pricing)|
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| 2. [Gumloop](https://www.gumloop.com/pricing)| Agent builder that starts by asking what the agent should handle |[Evaluations and Insights on an agent Performance page](https://docs.gumloop.com/core-concepts/agent_performance)| Gumloop cloud, or [VPC deployment on Enterprise](https://www.gumloop.com/enterprise)|[VPC deployment in your AWS, Azure, or Google Cloud environment](https://www.gumloop.com/enterprise)|[Pro from $37 per month after a 14-day trial](https://www.gumloop.com/pricing)|
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| 3. [Relevance AI](https://relevanceai.com/docs/get-started/pricing)| Invent assists teams with creating agents |[A/B testing on Team; agent evaluations on Enterprise](https://relevanceai.com/pricing)|[Agent triggers and scheduled tasks vary by plan](https://relevanceai.com/docs/get-started/pricing)|[No self-hosted edition is listed](https://relevanceai.com/docs/get-started/pricing)|[Pro from $19 per month billed annually; Enterprise is custom](https://relevanceai.com/docs/get-started/pricing)|
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| 1. [Sim](https://www.sim.ai/comparisons/vellum)| Visual builder, plus Chat for creating and editing workflows in plain language |[Evaluator](https://docs.sim.ai/workflows/blocks/evaluator) and [Guardrails](https://docs.sim.ai/workflows/blocks/guardrails) blocks |[API, chat interface, scheduled or webhook trigger, or MCP server tool](https://docs.sim.ai/workflows/deployment)(MCP is a protocol that lets AI apps call tools) |[Apache 2.0 core via Docker Compose or Kubernetes; enterprise features are separately licensed](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE)|[Free; Pro from $25 per user per month](https://www.sim.ai/pricing)|
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| 2. [Gumloop](https://www.gumloop.com/pricing)| Agent builder that starts by asking what the agent should handle |[Evaluations and Insights on an agent Performance page](https://docs.gumloop.com/core-concepts/agent_performance)| Gumloop cloud, or [VPC deployment on Enterprise](https://www.gumloop.com/enterprise)(a VPC is a private network in your own cloud account) |[VPC deployment in your AWS, Azure, or Google Cloud environment](https://www.gumloop.com/enterprise)|[Pro from $37 per month after a 14-day trial](https://www.gumloop.com/pricing)|
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| 3. [Relevance AI](https://relevanceai.com/pricing)|[Invent, an AI solutions engineer that helps teams decide what to automate and turn their expertise into agents](https://relevanceai.com/)|[A/B testing on Team; agent evaluations on Enterprise](https://relevanceai.com/docs/get-started/pricing)|[Agents receive tasks through native app triggers, webhooks, and cron schedules](https://relevanceai.com/enterprise)|[No self-hosted edition is listed](https://relevanceai.com/docs/get-started/pricing)|[Pricing docs list Pro from $19 per month billed annually](https://relevanceai.com/docs/get-started/pricing); the [pricing page](https://relevanceai.com/pricing) lists only custom Enterprise|
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| 4. [Dify](https://dify.ai/pricing)|[Workflow Studio visual builder](https://dify.ai/workflows) for agentic workflows |[Node-level testing and run history](https://docs.dify.ai/en/cloud/use-dify/debug/history-and-logs)|[Web app, API, or embed](https://docs.dify.ai/en/cloud/use-dify/publish/README)|[Community edition under a modified Apache 2.0 license](https://github.com/langgenius/dify/blob/main/LICENSE)|[Sandbox free; Professional $59 per workspace per month or $590 annually](https://dify.ai/pricing)|
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| 5. [Langflow](https://www.langflow.org/)| Low-code visual builder aimed at technical teams |[Playground testing and built-in traces](https://docs.langflow.org/traces)|[API, embedded chat widget, or MCP server](https://docs.langflow.org/concepts-publish)|[MIT-licensed; Desktop, Docker, or Python package](https://github.com/langflow-ai/langflow/blob/main/LICENSE)|[Free and open source; you host it](https://github.com/langflow-ai/langflow/blob/main/LICENSE)|
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### Sim
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Sim gives non-engineers two ways to build an agent without writing code. You can describe a workflow in Chat and ask Sim to create or edit it, or connect blocks in the visual builder. Developers can also extend workflows with code. [Compared with Vellum's release-oriented platform](https://www.sim.ai/comparisons/vellum), Sim offers a more direct starting point for people who need to build without dedicated engineering help.
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Sim is an open-source AI workspace for teams. It gives non-engineers two ways to build an agent without writing code. You can describe a workflow in Chat and ask Sim to create or edit it, or connect blocks in the visual builder. Developers can also extend workflows with code. [Compared with Vellum's release-oriented platform](https://www.sim.ai/comparisons/vellum), Sim offers a more direct starting point for people who need to build without dedicated engineering help.
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Sim also puts testing controls in the workflow builder. An [Evaluator block](https://docs.sim.ai/workflows/blocks/evaluator) asks a model for numeric scores against metrics you define. A [Guardrails block](https://docs.sim.ai/workflows/blocks/guardrails) validates content and reports whether the check passed; connect a downstream Condition when the result should change the execution path.
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You can deploy a finished workflow through an [API, chat interface, scheduled or webhook trigger, or MCP server tool](https://docs.sim.ai/workflows/deployment). [Sim's Apache 2.0 core can be self-hosted with Docker Compose or Kubernetes, while `apps/sim/ee` is governed by the separate Sim Enterprise License](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE). Enterprise features such as SSO and audit logs require an active Enterprise subscription for production use.
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You can deploy a finished workflow through an [API, chat interface, scheduled or webhook trigger, or MCP server tool](https://docs.sim.ai/workflows/deployment). [Sim's Apache 2.0 core can be self-hosted with Docker Compose or Kubernetes, while `apps/sim/ee` is governed by the separate Sim Enterprise License](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE). Enterprise features such as single sign-on (SSO), which lets people log in with their company account, and audit logs require an active Enterprise subscription for production use.
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**Best for:** Non-engineer teams that want to build, test, and deploy agents visually while retaining a self-hosting option.
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**Best for:** Go-to-market teams that want self-serve agent building with an enterprise upgrade path.
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**Pros:**[Pro includes unlimited agents and tools, while Team adds A/B testing and Enterprise adds agent evaluations, enterprise triggers, SSO, RBAC, and audit logs](https://relevanceai.com/docs/get-started/pricing). The platform also lists [more than 2,000 integrations](https://relevanceai.com/integrations).
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**Pros:**[Pro includes unlimited agents and tools, while Team adds A/B testing and Enterprise adds agent evaluations, enterprise triggers, SSO, role-based access control (RBAC, which sets permissions by role), and audit logs](https://relevanceai.com/docs/get-started/pricing). The platform also lists [more than 2,000 integrations](https://relevanceai.com/integrations).
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**Cons:**[The Free plan is retired for new and existing accounts](https://relevanceai.com/docs/get-started/pricing), and organization-wide controls are reserved for the custom Enterprise tier.
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**Pricing:**As of October 2026, [Pro starts at $19 per month with annual billing or $29 monthly, Team starts at $234 per month, and Enterprise is custom-priced](https://relevanceai.com/docs/get-started/pricing).
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**Pricing:**Relevance AI's two official pricing pages disagree. As of October 2026, its [pricing page](https://relevanceai.com/pricing) lists only an Enterprise plan with custom pricing, while its [pricing documentation](https://relevanceai.com/docs/get-started/pricing) lists Pro from $19 per month billed annually ($29 monthly) and Team from $234 per month billed annually ($349 monthly), and says the Free plan is retired. Confirm current plans with Relevance AI before you buy.
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### Dify
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### Langflow
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Langflow is a [low-code builder for agentic and retrieval-augmented applications](https://www.langflow.org/). Its [source code is MIT-licensed](https://github.com/langflow-ai/langflow/blob/main/LICENSE), and its documentation is aimed at developers, data scientists, and teams building retrieval and multi-agent applications.
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Langflow is a [low-code builder for agentic and retrieval-augmented generation (RAG) applications](https://www.langflow.org/), meaning apps that answer from your own documents. Its [source code is MIT-licensed](https://github.com/langflow-ai/langflow/blob/main/LICENSE), and its documentation is aimed at developers, data scientists, and teams building retrieval and multi-agent applications.
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**Best for:** Teams that want a freely licensed starting point for testing AI flow ideas and can manage the technical setup.
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## Choosing the right alternative
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- If you need to self-host on a budget, choose Sim. [Sim's core is Apache 2.0 and can be self-hosted, while enterprise features use a separate license](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE); [self-hosted Vellum](https://docs.vellum.ai/self-hosting/getting-started/introduction) is arranged through Vellum's team.
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- If you want self-serve plans for go-to-market agents, consider Relevance AI. Its [Pro and Team plans have published prices](https://relevanceai.com/docs/get-started/pricing), while Enterprise is custom.
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- If you want self-serve plans for go-to-market agents, consider Relevance AI. Its [pricing documentation lists Pro and Team prices](https://relevanceai.com/docs/get-started/pricing), while its [pricing page](https://relevanceai.com/pricing) shows only custom Enterprise.
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- If your team wants to describe an agent's job and let the builder set it up, consider Gumloop.
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- If you want source-code access, compare Dify and Langflow. Dify combines a hosted cloud with a self-deployable Community edition under [additional license conditions](https://github.com/langgenius/dify/blob/main/LICENSE), while Langflow uses the [MIT license](https://github.com/langflow-ai/langflow/blob/main/LICENSE) and is self-hosted.
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