@@ -8,7 +8,7 @@ updated: 2026-10-19
 authors:
   - andrew
 readingTime: 8
-tags: [AI Agents, Workflow Automation, Open Source, Sim]
+tags: [AI Agents, Workflow Automation, Open Source, Comparisons, Sim]
 ogImage: /library/best-langflow-alternatives-2026/cover.jpg
 draft: false
 faq:
@@ -24,7 +24,7 @@ faq:
 
 ## TL;DR
 
-- **Sim**, the open-source AI workspace, fits teams that want a visual builder they can run on their own infrastructure, with per-block run traces. Anyone can self-host [Sim's Apache 2.0 core](https://github.com/simstudioai/sim/blob/main/LICENSE) for free; [enterprise features use a separate license](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE). SSO, audit logs, and supported self-hosting are part of the Enterprise plan.
+- **Sim**, the open-source AI workspace where teams build, deploy, and manage AI agents, fits teams that want a visual builder they can run on their own infrastructure, with per-block run traces. Anyone can self-host [Sim's Apache 2.0 core](https://github.com/simstudioai/sim/blob/main/LICENSE) for free; [enterprise features use a separate license](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE). SSO (single sign-on with your company's identity provider), audit logs, and supported self-hosting are part of the Enterprise plan.
 - **Langflow** fits teams building visual prototypes, especially if they already use IBM watsonx Orchestrate, which [IBM positions](https://www.ibm.com/new/announcements/prototype-to-production-langflow-and-ibm-watsonx-orchestrate-si) as the enterprise runtime for Langflow-built agents.
 - **Dify** fits teams willing to operate a larger self-hosted stack under a modified Apache 2.0 license.
 - **n8n** fits teams whose AI agents need to work inside broader automation workflows.
@@ -33,7 +33,7 @@ faq:
 
 ## Why teams look past Langflow for production
 
-Langflow makes it easy to build and test an agent visually, but IBM describes a harder step after the prototype. In its [announcement about moving Langflow agents into production](https://www.ibm.com/new/announcements/prototype-to-production-langflow-and-ibm-watsonx-orchestrate-si), IBM says teams "build impressive demos, only to hit a wall when scaling securely, integrating workflows, and meeting enterprise requirements." IBM presents watsonx Orchestrate as its answer: an enterprise-grade runtime for Langflow-built agents, "complete with SSO, RBAC, audit trails and orchestration."
+Langflow makes it easy to build and test an agent visually, but IBM describes a harder step after the prototype. In its [announcement about moving Langflow agents into production](https://www.ibm.com/new/announcements/prototype-to-production-langflow-and-ibm-watsonx-orchestrate-si), IBM says teams "build impressive demos, only to hit a wall when scaling securely, integrating workflows, and meeting enterprise requirements." IBM presents watsonx Orchestrate as its answer: an enterprise-grade runtime for Langflow-built agents, "complete with SSO, RBAC, audit trails and orchestration." RBAC is role-based access control, which limits what each person can see and change.
 
 You can deploy Langflow without Orchestrate. Langflow is MIT-licensed and its [GitHub repository](https://github.com/langflow-ai/langflow) is actively maintained. [IBM lists](https://www.ibm.com/products/langflow) options to deploy a flow as a REST service using Docker or deploy it to Langflow Cloud, and Langflow's docs cover a [production Kubernetes Helm chart](https://docs.langflow.org/deployment-kubernetes-prod). The governance features IBM highlights for enterprise use, including SSO, role-based access, and audit trails, are the ones it ties to the Orchestrate integration.
 
@@ -44,22 +44,22 @@ For each alternative, the comparison examines license terms, the self-hosting pa
 | Tool | License | Self-Hosting | Deployment Options | Built-in Run Inspection | Published Pricing |
 |---|---|---|---|---|---|
 | **1. Sim** | [Apache 2.0 core](https://github.com/simstudioai/sim/blob/main/LICENSE), with [enterprise features under the separate Sim Enterprise License](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE) | Yes, via [Docker Compose or Kubernetes (Helm)](https://docs.sim.ai/platform/self-hosting) | Sim Cloud or self-hosted. Deploy workflows as an API, a chat interface, or an MCP tool | [Per-block trace](https://docs.sim.ai/logs-debugging/logging) of inputs, outputs, errors, and timing | [Free $0, Pro $25/user/month, Max $100/user/month, Enterprise custom](https://www.sim.ai/pricing) |
-| **2. Dify** | [Modified Apache 2.0](https://github.com/langgenius/dify/blob/main/LICENSE) with added conditions | Yes, [Docker Compose](https://docs.dify.ai/en/self-host/deploy/quick-start/docker-compose) | [Web app, API, website embed, or MCP server](https://docs.dify.ai/en/self-host/use-dify/publish/README) | [Logs with run details](https://docs.dify.ai/en/self-host/use-dify/monitor/logs) | [Cloud: Sandbox free, Professional $590/workspace/year, Team $1,590/workspace/year](https://dify.ai/pricing) |
-| **3. n8n** | [Sustainable Use License](https://docs.n8n.io/privacy-and-security/sustainable-use-license), which n8n describes as fair-code, not open source | Yes: Community, Business, and Enterprise editions | n8n Cloud or self-hosted | [Execution history](https://docs.n8n.io/build/understand-workflows/understand-executions) per workflow | [Cloud Starter €20/month, Pro €50/month, self-hosted Business €667/month (billed annually), Enterprise custom](https://n8n.io/pricing/) |
+| **2. Dify** | [Modified Apache 2.0](https://github.com/langgenius/dify/blob/main/LICENSE) with added conditions | Yes, [Docker Compose](https://docs.dify.ai/en/self-host/deploy/quick-start/docker-compose) | [Web app, API, website embed, or MCP server](https://docs.dify.ai/en/self-host/use-dify/publish/README) | [Logs with a node-by-node trace](https://docs.dify.ai/en/self-host/use-dify/monitor/logs) | [Cloud: Sandbox free, Professional $590/workspace/year, Team $1,590/workspace/year](https://dify.ai/pricing) |
+| **3. n8n** | [Sustainable Use License](https://github.com/n8n-io/n8n/blob/master/LICENSE.md), which n8n describes as fair-code, not open source | Yes: Community, Business, and Enterprise editions | n8n Cloud or self-hosted | [Execution history](https://docs.n8n.io/build/understand-workflows/understand-executions) per workflow | [Cloud Starter €20/month, Pro €50/month, self-hosted Business €667/month (billed annually), Enterprise custom](https://n8n.io/pricing/) |
 | **4. LangGraph** | [MIT](https://github.com/langchain-ai/langgraph) | Yes for the library. A standalone Agent Server needs a [LangSmith license key](https://docs.langchain.com/langsmith/deploy-standalone-server) | Self-managed code or LangSmith Deployment | Through LangSmith, a separate product | [LangSmith Developer $0 (1 seat), Plus $39/seat/month, Enterprise custom](https://www.langchain.com/pricing) |
 | **5. Langflow** | [MIT](https://github.com/langflow-ai/langflow) | Yes, Docker or a Kubernetes Helm chart | [Docker REST service, Langflow Cloud, or watsonx Orchestrate](https://www.ibm.com/products/langflow). Flows can also be [served as MCP tools](https://docs.langflow.org/mcp-server) | [Native per-component traces](https://docs.langflow.org/traces) | No license fee for Langflow OSS. IBM's Langflow page does not list Elite Support or Orchestrate prices |
 
 ## Sim
 
-**Best for** You want the open-source AI workspace, including a visual builder that can move into production with self-hosting, several ways to deploy a workflow, and controls for enterprise access.
+**Best for** Sim is the open-source AI workspace where teams build, deploy, and manage AI agents. It suits you if you want a visual builder that can move into production with self-hosting, several ways to deploy a workflow, and controls for enterprise access. Alongside the visual builder (Workflows), the workspace includes Chat, where you talk to Sim to build and manage agents in natural language, plus Tables, Files, and a Knowledge Base your agents can draw on.
 
-**Pros** Sim's core uses the [Apache 2.0 license](https://github.com/simstudioai/sim/blob/main/LICENSE), with [enterprise features covered by the separate Sim Enterprise License](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE). You can [deploy a workflow](https://docs.sim.ai/workflows/deployment) as an API, a chat interface, or an MCP tool that lets other AI applications call it. Those options let you use the same workflow in an application, a user-facing conversation, or another agent without rebuilding its logic. Sim's pricing page lists [hundreds of integrations and major model providers](https://www.sim.ai/pricing).
+**Pros** Sim's core uses the [Apache 2.0 license](https://github.com/simstudioai/sim/blob/main/LICENSE), with [enterprise features covered by the separate Sim Enterprise License](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE). You can [deploy a workflow](https://docs.sim.ai/workflows/deployment) as an API, a chat interface, or an MCP tool. MCP (Model Context Protocol) is a protocol that lets AI apps call tools, so other AI applications can call your workflow. Those options let you use the same workflow in an application, a user-facing conversation, or another agent without rebuilding its logic. Sim connects to [270+ integrations](https://www.sim.ai/integrations) and [28 model providers](https://www.sim.ai/models).
 
 Sim's [Logs](https://docs.sim.ai/logs-debugging/logging) trace each run block by block, with each block's inputs, outputs, errors, and timing, plus a usage breakdown of the run's cost. When an agent fails midway, you can inspect the block that failed rather than infer the cause from its final response. Each workflow also keeps [deployed versions that can be compared or rolled back](https://docs.sim.ai/workflows/deployment). For more detail on evaluating traces, read the guide to [AI agent observability](https://www.sim.ai/library/ai-agent-observability). If Langflow's deployment and governance options leave you assembling additional infrastructure, [Sim's Langflow comparison](https://www.sim.ai/comparisons/langflow) details its deployment options and Enterprise controls.
 
-**Cons** The Apache 2.0 core does not make every feature free. Anyone can self-host [Sim's core](https://github.com/simstudioai/sim/blob/main/LICENSE) at no cost with Docker Compose or Kubernetes, while [enterprise features such as SSO, SCIM, audit logs, and access control have separate terms](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE) and require an Enterprise subscription for production use. [Sim's pricing table](https://www.sim.ai/pricing) also lists supported self-hosting as an Enterprise feature alongside SSO and SOC 2 compliance. Check which features you need before treating the core license as your complete plan. The distinction is also covered in this guide to [Apache 2.0 and fair-code licenses](https://www.sim.ai/library/apache-2-0-vs-fair-code).
+**Cons** The Apache 2.0 core does not make every feature free. Anyone can self-host [Sim's core](https://github.com/simstudioai/sim/blob/main/LICENSE) at no cost with Docker Compose or Kubernetes, while [enterprise features such as SSO, SCIM user provisioning, audit logs, and access control have separate terms](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE) and require an Enterprise subscription for production use. [Sim's pricing table](https://www.sim.ai/pricing) also lists supported self-hosting as an Enterprise feature alongside SSO and SOC 2 compliance. Check which features you need before treating the core license as your complete plan. The distinction is also covered in this guide to [Apache 2.0 and fair-code licenses](https://www.sim.ai/library/apache-2-0-vs-fair-code).
 
-**Pricing** [Sim's Free plan](https://www.sim.ai/pricing) costs $0 and includes 1,000 one-time credits and 30 days of log retention. Pro costs $25 per user per month, with 6,000 credits per month, a weekly refresh of 2,000 credits, and unlimited log retention. Max costs $100 per user per month, with 25,000 credits per month. Enterprise uses custom pricing and adds access control, SSO, SOC 2 compliance, supported self-hosting, and dedicated support. Enterprise organizations can also set log retention from 1 day to 5 years or keep logs forever.
+**Pricing** [Sim's Free plan](https://www.sim.ai/pricing) costs $0 and includes 1,000 one-time credits and 30 days of log retention. Pro costs $25 per user per month, with 6,000 credits per month, a weekly refresh of 2,000 credits, and unlimited log retention. Max costs $100 per user per month, with 25,000 credits per month and a weekly refresh of 4,000 credits. Enterprise uses custom pricing and adds access control, SSO, SOC 2 compliance, supported self-hosting, and dedicated support. Enterprise organizations can also set log retention from 1 day to 5 years or keep logs forever.
 
 ## Langflow
 
@@ -75,9 +75,9 @@ Sim's [Logs](https://docs.sim.ai/logs-debugging/logging) trace each run block by
 
 **Best for** Dify suits you if you want to build and deploy AI applications and can operate a larger self-hosted installation.
 
-**Pros** Dify supports workflows, a [Human Input node](https://docs.dify.ai/en/self-host/use-dify/nodes/human-input) that pauses a run for a person's review, and [knowledge bases](https://docs.dify.ai/en/self-host/use-dify/knowledge/readme) built from imported data. You can [deploy applications](https://docs.dify.ai/en/self-host/use-dify/publish/README) as web apps, APIs, website embeds, or MCP servers. Its [logs](https://docs.dify.ai/en/self-host/use-dify/monitor/logs) let you inspect conversations and workflow runs.
+**Pros** Dify supports workflows, a [Human Input node](https://docs.dify.ai/en/self-host/use-dify/nodes/human-input) that pauses a run for a person's review, and [knowledge bases](https://docs.dify.ai/en/self-host/use-dify/knowledge/readme) built from imported data. You can [deploy applications](https://docs.dify.ai/en/self-host/use-dify/publish/README) as web apps, APIs, website embeds, or MCP servers. Its [logs](https://docs.dify.ai/en/self-host/use-dify/monitor/logs) let you inspect conversations and workflow runs, including a node-by-node trace that shows where a run failed or slowed down.
 
-**Cons** Dify uses a [modified Apache 2.0 license](https://github.com/langgenius/dify/blob/main/LICENSE). You need a commercial license to run a multi-tenant service from its source code, and you may not remove or modify the logo or copyright information in its frontend. Its [Docker Compose installation](https://docs.dify.ai/en/self-host/deploy/quick-start/docker-compose) runs several application services and dependencies. The stated minimum is two CPU cores and 4 GiB of RAM, before accounting for your workload.
+**Cons** Dify uses a [modified Apache 2.0 license](https://github.com/langgenius/dify/blob/main/LICENSE). You need a commercial license to run a multi-tenant service from its source code, and you may not remove or modify the logo or copyright information in its frontend. Its [Docker Compose installation](https://docs.dify.ai/en/self-host/deploy/quick-start/docker-compose) starts seven core services and eight dependent components. The stated minimum is two CPU cores and 4 GiB of RAM, before accounting for your workload.
 
 **Pricing** [Dify Cloud](https://dify.ai/pricing) offers a free Sandbox plan, Professional at $590 per workspace per year, and Team at $1,590 per workspace per year. The self-hosted Community edition is free, and the self-hosted Enterprise edition, which includes a commercial license, uses custom pricing.
 
@@ -87,13 +87,13 @@ Sim's [Logs](https://docs.sim.ai/logs-debugging/logging) trace each run block by
 
 **Pros** n8n offers self-hosted editions and [queue mode](https://docs.n8n.io/deploy/host-n8n/configure-n8n/scaling/enable-queue-mode), which uses worker instances to distribute executions. You can also [require human approval](https://docs.n8n.io/build/integrate-ai/ai-examples/human-in-the-loop-for-tools) before an AI Agent runs a selected tool, giving you an approval point for sensitive actions.
 
-**Cons** n8n's [Sustainable Use License](https://docs.n8n.io/privacy-and-security/sustainable-use-license) limits use to your own internal business purposes or non-commercial use, and n8n describes the license as fair-code rather than open source. Its [license guidance](https://docs.n8n.io/n8n-community-license/community-license/license-faq) says internal use is fine as long as you are not making n8n available to your customers for them to connect their accounts and build workflows. If you are building that kind of multi-tenant product, check the licensing terms before adopting it.
+**Cons** n8n's [Sustainable Use License](https://github.com/n8n-io/n8n/blob/master/LICENSE.md) limits use to your own internal business purposes or non-commercial use, and n8n [describes the license as fair-code](https://docs.n8n.io/n8n-community-license) rather than open source. Its [license guidance](https://docs.n8n.io/n8n-community-license/community-license/license-faq) says internal use is fine as long as you are not making n8n available to your customers for them to connect their accounts and build workflows. If you are building that kind of multi-tenant product, check the licensing terms before adopting it.
 
 **Pricing** [n8n's pricing page](https://n8n.io/pricing/) lists Cloud Starter at €20 per month and Pro at €50 per month, both billed annually. The self-hosted Business plan is €667 per month billed annually, Enterprise is custom, and the self-hosted Community Edition is available from its repository.
 
 ## LangGraph
 
-**Best for** LangGraph suits you if your engineers want to define agent orchestration in code rather than assemble it in a visual builder. The [Python and TypeScript libraries](https://github.com/langchain-ai/langgraph) can run on infrastructure you manage.
+**Best for** LangGraph suits you if your engineers want to define agent orchestration in code rather than assemble it in a visual builder. The [Python](https://github.com/langchain-ai/langgraph) and [TypeScript](https://github.com/langchain-ai/langgraphjs) libraries can run on infrastructure you manage.
 
 **Pros** [Checkpointers](https://docs.langchain.com/oss/python/langgraph/persistence) save agent state so a run can resume after an interruption. For an approval gate, [`interrupt()`](https://docs.langchain.com/oss/python/langgraph/interrupts) pauses execution, and `Command(resume=...)` resumes it with a person's decision.
 
@@ -107,7 +107,7 @@ Flowise was a common Langflow alternative, but it is no longer viable for new pr
 
 ## Choosing the right Langflow alternative
 
-**Best overall: Sim.** If you want the open-source AI workspace with a visual builder you can self-host under an OSI-approved core license, choose Sim. [Sim's Apache 2.0 core](https://github.com/simstudioai/sim/blob/main/LICENSE) runs on your infrastructure for free, while [production use of enterprise features such as SSO and audit logs requires an Enterprise subscription](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE). Check which features you need before deciding which plan fits.
+If you want the open-source AI workspace for teams, with a visual builder you can self-host under an OSI-approved core license, choose Sim. [Sim's Apache 2.0 core](https://github.com/simstudioai/sim/blob/main/LICENSE) runs on your infrastructure for free, while [production use of enterprise features such as SSO and audit logs requires an Enterprise subscription](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE). Check which features you need before deciding which plan fits.
 
 If your main need is connecting business apps, choose n8n for workflow automation. Review its license before using it to offer workflows to customers. Choose LangGraph if you want to write and operate orchestration code yourself, while accounting for the [LangSmith license key](https://docs.langchain.com/langsmith/deploy-standalone-server) its standalone Agent Server requires.