@@ -13,25 +13,25 @@ ogImage: /library/best-flowise-alternatives-2026/cover.jpg
 draft: false
 faq:
   - q: "What does Flowise's sunset mean for existing deployments?"
-    a: "Your existing deployment can keep running, and the code remains available under Apache 2.0 for you to fork. Flowise ended official core-team presence on August 31, 2026, so you must maintain a fork or move to another platform if you need future updates."
+    a: "Your existing deployment can keep running, and the code remains available under Apache 2.0 for you to fork. Flowise reached end of life on August 31, 2026, when official core-team presence on GitHub and Discord ended, so you must maintain a fork or move to another platform if you need future updates."
   - q: "Is Flowise safe to keep running after end of life?"
     a: "The core team has stopped development and no longer reviews pull requests, so no fixes will come from it. If you keep Flowise in production, you take responsibility for reviewing vulnerabilities, applying fixes, and controlling access to the deployment."
   - q: "Should I self-host or use a managed option?"
-    a: "Self-hosting gives you control over the infrastructure but makes you responsible for operations and updates. A managed option removes that hosting work. Sim offers both: anyone can self-host its Apache 2.0 core without a license fee, and Sim Cloud is the managed option. Enterprise features are separately licensed under the Sim Enterprise License: https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE."
+    a: "Self-hosting gives you control over the infrastructure but makes you responsible for operations and updates. A managed option removes that hosting work. Sim offers both: anyone can self-host its Apache 2.0 core for free with Docker Compose or Kubernetes, and Sim Cloud is the managed option. Enterprise features such as SSO (single sign-on), access control, and audit logs are covered by the separate Sim Enterprise License and require an Enterprise subscription for production use."
   - q: "Which alternative is easiest for migrating existing flows?"
     a: "Langflow offers a visual-builder approach, but a similar visual builder does not mean Flowise flows will import directly. Compare your live flows' components and integrations against the replacement before estimating migration work."
   - q: "What do the license differences mean for commercial use?"
-    a: "Sim's Apache 2.0 core and Langflow's MIT license permit broad commercial use. Sim's enterprise features are separately licensed under the Sim Enterprise License: https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE. Dify's license requires a commercial license to operate a multi-tenant service, and n8n's Sustainable Use License limits use to your own internal business purposes or non-commercial or personal use. LangGraph's library is MIT licensed, while running its standalone Agent Server requires a LangSmith license key, so check the terms for the part you plan to deploy."
+    a: "Sim's Apache 2.0 core and Langflow's MIT license permit broad commercial use. Sim's enterprise features are covered by the separate Sim Enterprise License, which requires an Enterprise subscription for production use. Dify's license requires a commercial license to operate a multi-tenant service, and n8n's Sustainable Use License limits use to your own internal business purposes or non-commercial or personal use. LangGraph's library is MIT licensed, while running its standalone Agent Server requires a LangSmith license key, so check the terms for the part you plan to deploy."
 ---
 
 ## TL;DR
 
 - [Flowise reached end of life on August 31, 2026](https://flowiseai.com/sunset). Its team froze the code on July 29 and stopped reviewing or accepting pull requests, so production users must maintain a fork or migrate.
-- **Sim** is best for teams that want a visual agent builder with an Apache 2.0 core they can self-host and several ways to deploy workflows. Its enterprise features use the separate [Sim Enterprise License](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE).
-- **Langflow** is best for teams that want a visual builder under an MIT license.
-- **Dify** is best for teams building knowledge-base-backed AI apps that they want to deploy as a web app, API, or an MCP server that lets other AI apps call the app as a tool.
-- **n8n** is best for teams adding AI agents to existing business automations.
-- **LangGraph** is best for engineers who prefer code-based control over agent behavior and persistent state.
+- **Sim**, an open-source AI workspace for teams, fits teams that want to build agents visually, deploy them several ways, and self-host an Apache 2.0 core. Its enterprise features use the separate [Sim Enterprise License](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE).
+- **Langflow** fits teams that want a visual builder under an MIT license.
+- **Dify** fits teams building knowledge-base-backed AI apps that they want to deploy as a web app, an API, or an MCP server. MCP (Model Context Protocol) is an open protocol that lets AI apps call tools, so other AI apps can call a Dify app as a tool.
+- **n8n** fits teams adding AI agents to existing business automations.
+- **LangGraph** fits engineers who prefer code-based control over agent behavior and persistent state.
 
 ## Why Flowise teams are migrating now
 
@@ -52,23 +52,23 @@ Those criteria map to the work you take on when you replace a production deploym
 | Rank and tool | License | Self-hosting | Deployment surfaces | Observability | Integrations | Pricing |
 |---|---|---|---|---|---|---|
 | Sunset reference: [Flowise](https://flowiseai.com/sunset) | [Apache 2.0 existing code](https://github.com/FlowiseAI/Flowise/blob/main/LICENSE.md) | [Fork and maintain](https://flowiseai.com/sunset) | Existing deployments | [No further core-team development](https://flowiseai.com/sunset) | Existing nodes | [Code free to fork](https://flowiseai.com/sunset) |
-| 1. [Sim](https://www.sim.ai) | [Apache 2.0 core](https://github.com/simstudioai/sim/blob/main/LICENSE); [Enterprise features separately licensed](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE) | [Docker Compose or Kubernetes with Helm](https://docs.sim.ai/platform/self-hosting) | [API, Chat, MCP server, webhooks, and schedules](https://docs.sim.ai/workflows/deployment) | [Block-level trace logs](https://docs.sim.ai/logs-debugging), [run-failure alerts](https://docs.sim.ai/workflows/triggers/sim), and [Enterprise audit logs](https://docs.sim.ai/platform/enterprise/audit-logs) | [270+](https://www.sim.ai/pricing) | [Free $0, Pro $25/user/month, Max $100/user/month, Enterprise custom](https://www.sim.ai/pricing) |
+| 1. [Sim](https://www.sim.ai) | [Apache 2.0 core](https://github.com/simstudioai/sim/blob/main/LICENSE); [Enterprise features separately licensed](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE) | [Docker Compose or Kubernetes with Helm](https://docs.sim.ai/platform/self-hosting) | [API, chat interface, MCP server, webhooks, and schedules](https://docs.sim.ai/workflows/deployment) | [Block-level trace logs](https://docs.sim.ai/logs-debugging), [run-failure alerts](https://docs.sim.ai/workflows/triggers/sim), and [Enterprise audit logs](https://docs.sim.ai/platform/enterprise/audit-logs) | [270+](https://www.sim.ai/pricing) | [Free $0, Pro $25/user/month, Max $100/user/month, Enterprise custom](https://www.sim.ai/pricing) |
 | 2. [Langflow](https://docs.langflow.org/) | [MIT](https://github.com/langflow-ai/langflow/blob/main/LICENSE) | [Desktop app, Python package, or Docker](https://docs.langflow.org/get-started-installation) | API and [MCP server](https://docs.langflow.org/mcp-server) | [Per-component traces](https://docs.langflow.org/traces) | [Components usable as agent tools](https://docs.langflow.org/) | [Free to self-host under MIT](https://github.com/langflow-ai/langflow/blob/main/LICENSE) |
-| 3. [Dify](https://dify.ai) | [Modified Apache 2.0](https://github.com/langgenius/dify/blob/main/LICENSE) | [Docker Compose](https://docs.dify.ai/en/self-host/deploy/quick-start/docker-compose) | [Web app, API, and MCP server](https://docs.dify.ai/en/learn/key-concepts) | [Production run logs](https://docs.dify.ai/en/self-host/use-dify/monitor/logs) | [Agent tools](https://docs.dify.ai/en/cloud/use-dify/nodes/agent) | [Sandbox free; Professional $590 and Team $1,590 per workspace per year; Enterprise custom](https://dify.ai/pricing) |
+| 3. [Dify](https://dify.ai) | [Modified Apache 2.0](https://github.com/langgenius/dify/blob/main/LICENSE) | [Docker Compose](https://docs.dify.ai/en/self-host/deploy/quick-start/docker-compose) | [Web app, API, and MCP server](https://docs.dify.ai/en/learn/key-concepts) | [Production run logs](https://docs.dify.ai/en/self-host/use-dify/monitor/logs) | [Agent tools](https://docs.dify.ai/en/cloud/use-dify/nodes/agent) | [Sandbox free; Professional $59/month and Team $159/month per workspace, or $590 and $1,590 per year; Enterprise custom](https://dify.ai/pricing) |
 | 4. [n8n](https://n8n.io) | [Sustainable Use License](https://github.com/n8n-io/n8n/blob/master/LICENSE.md) | [Self-hosted](https://docs.n8n.io/deploy/host-n8n/configure-n8n/scaling/enable-queue-mode) or [n8n Cloud](https://n8n.io/pricing/) | Workflows with triggers and webhooks | Execution history | [500+ integrations](https://n8n.io/) | [Cloud Starter €20/month and Pro €50/month; self-hosted Business €667/month, billed annually](https://n8n.io/pricing/) |
 | 5. [LangGraph](https://github.com/langchain-ai/langgraph) | [MIT library](https://github.com/langchain-ai/langgraph) | Library, or [Agent Server](https://docs.langchain.com/langsmith/deploy-standalone-server) | Your own API, or Agent Server | [Checkpointed graph state](https://docs.langchain.com/oss/python/langgraph/persistence) | Code libraries | Library free; [LangSmith Developer $0 for one seat and Plus $39/seat/month](https://www.langchain.com/pricing) |
 
 ### Sim
 
-**Best for:** Sim is the top pick if you want to build and deploy agents in one workspace while keeping run logs, access controls, and a self-hosting option. Sim is the open-source AI workspace where teams build, deploy, and manage AI agents. Its core can be self-hosted under Apache 2.0, while Sim Cloud provides a managed option and enterprise modules are covered by the separate [Sim Enterprise License](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE).
+**Best for:** Teams that want to build and deploy agents in one workspace while keeping run logs, access controls, and a self-hosting option.
 
-**What it is:** Sim's workflow builder includes agent, condition, router, and Human in the Loop blocks. You can [run the core on your own infrastructure with Docker Compose or Kubernetes](https://docs.sim.ai/platform/self-hosting). A deployed workflow is available through an API, Chat, or an MCP server, and workflows can also start from webhooks and schedules, as described in the [deployment documentation](https://docs.sim.ai/workflows/deployment). Sim can call tools from external MCP servers and [deploy workflows as tools on an MCP server](https://docs.sim.ai/workflows/deployment/mcp).
+**What it is:** Sim is the open-source AI workspace where teams build, deploy, and manage AI agents. It combines Chat, a visual workflow builder, Tables, Files, and a Knowledge Base. The workflow builder includes Agent, Condition, Router, and Human blocks; the Human block pauses a run until a person responds. Anyone can [self-host the Apache 2.0 core for free with Docker Compose or Kubernetes](https://docs.sim.ai/platform/self-hosting), Sim Cloud is the managed option, and enterprise modules are covered by the separate [Sim Enterprise License](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE). A deployed workflow is available through an API, a hosted chat interface, or an MCP server, and workflows can also start from webhooks and schedules, as described in the [deployment documentation](https://docs.sim.ai/workflows/deployment). Sim can call tools from external MCP servers and [deploy workflows as tools on an MCP server](https://docs.sim.ai/workflows/deployment/mcp).
 
-**Pros:** [Block-level trace logs](https://docs.sim.ai/logs-debugging) show each block's resolved inputs, outputs, duration, cost, and errors, so you can inspect where a run failed. A [Sim Workspace Events trigger](https://docs.sim.ai/workflows/triggers/sim) can start an alert workflow when a run fails. Enterprise adds [audit logs](https://docs.sim.ai/platform/enterprise/audit-logs), [data drains](https://docs.sim.ai/platform/enterprise/data-drains), and [permission groups](https://docs.sim.ai/platform/enterprise/access-control) that restrict models, blocks, and tools. It also provides [configurable data-retention policies](https://docs.sim.ai/platform/enterprise/data-retention). Sim's pricing page documents more than 270 integrations. Its [Flowise comparison](https://www.sim.ai/comparisons/flowise) details the production features side by side. For deeper evaluation criteria, see our guide to [AI observability tools for production agents](https://www.sim.ai/library/6-best-ai-observability-tools-for-production-agents-in-2026).
+**Pros:** [Run logs](https://docs.sim.ai/logs-debugging) record each run's status, duration, and cost, and the trace shows timed spans for blocks, model requests, and tool calls with each step's resolved inputs, outputs, and errors, so you can inspect where a run failed. A [Sim Workspace Events trigger](https://docs.sim.ai/workflows/triggers/sim) can start an alert workflow when a run fails. Enterprise adds [audit logs](https://docs.sim.ai/platform/enterprise/audit-logs) that record who changed what, [data drains](https://docs.sim.ai/platform/enterprise/data-drains) that export logs to destinations such as Amazon S3 and Datadog, [permission groups](https://docs.sim.ai/platform/enterprise/access-control) that restrict models, blocks, and tools, and [configurable data-retention policies](https://docs.sim.ai/platform/enterprise/data-retention). Sim's pricing page documents more than 270 integrations. Its [Flowise comparison](https://www.sim.ai/comparisons/flowise) details the production features side by side. For deeper evaluation criteria, see our guide to [AI observability tools for production agents](https://www.sim.ai/library/6-best-ai-observability-tools-for-production-agents-in-2026).
 
-**Cons:** Self-hosting Sim's Apache 2.0 core does not include the modules under the Sim Enterprise License. Production use of those enterprise capabilities requires an active Sim Enterprise subscription. Teams should compare those boundaries with their governance and support requirements.
+**Cons:** Self-hosting Sim's Apache 2.0 core does not include the modules under the Sim Enterprise License, such as SSO (single sign-on), access control, and audit logs. Production use of those enterprise capabilities requires an active Sim Enterprise subscription, and Sim's pricing table lists supported Self Hosting as an Enterprise feature alongside SSO. Teams should compare those boundaries with their governance and support requirements.
 
-**Pricing:** As of October 2026, [Sim Cloud has four tiers](https://www.sim.ai/pricing). Free costs $0 and includes 1,000 one-time credits, with no weekly refresh. Pro costs $25 per user per month and includes 6,000 credits plus 2,000 refreshed weekly. Max costs $100 per user per month and includes 25,000 credits plus 4,000 refreshed weekly. Enterprise has custom pricing and limits. Logs are retained for 30 days on Free, while Pro and Max have no default age expiry.
+**Pricing:** As of October 2026, [Sim Cloud has four tiers](https://www.sim.ai/pricing). Free costs $0 and includes 1,000 one-time credits (worth $5), with no weekly refresh. Pro costs $25 per user per month and includes 6,000 credits plus 2,000 refreshed weekly. Max costs $100 per user per month and includes 25,000 credits plus 4,000 refreshed weekly. Enterprise has custom pricing and limits. Logs are retained for 30 days on Free, while Pro and Max have no default age expiry.
 
 ### Langflow
 
@@ -92,7 +92,7 @@ Those criteria map to the work you take on when you replace a production deploym
 
 **Cons:** Dify's [license](https://github.com/langgenius/dify/blob/main/LICENSE) is a modified Apache 2.0. Operating a multi-tenant service requires a commercial license, and you may not remove or modify the logo or copyright information in Dify's frontend. Its [Docker Compose installation](https://docs.dify.ai/en/self-host/deploy/quick-start/docker-compose) runs multiple application and data services, so self-hosting requires more operational work than a single container.
 
-**Pricing:** As of October 2026, [Dify's hosted plans](https://dify.ai/pricing) start with a free Sandbox plan. Professional costs $590 per workspace per year and Team costs $1,590 per workspace per year. Enterprise pricing is custom. Confirm licensing terms before offering a multi-tenant service.
+**Pricing:** As of October 2026, [Dify's hosted plans](https://dify.ai/pricing) start with a free Sandbox plan. Professional costs $59 per workspace per month or $590 per year, and Team costs $159 per workspace per month or $1,590 per year. Enterprise pricing is custom. Confirm licensing terms before offering a multi-tenant service.
 
 ### n8n