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Sim vs Flowise

Sim is the open-source AI workspace where teams build, deploy, and manage AI agents visually, conversationally, or with code. Here is how Sim compares to Flowise on platform architecture, AI capabilities, integrations, pricing, security, and support. Every fact below is sourced and dated.

Sim is an open-source AI workspace for building, deploying, and managing AI agents. This page compares Sim to Flowise across platform architecture, AI capabilities, integrations, pricing, security and compliance, observability, and support, using sourced, dated facts for buyers evaluating both platforms.

What is Sim?

Sim is the open-source AI workspace where teams build, deploy, and manage AI agents, connecting 1,000+ integrations and every major LLM to automate real work visually, conversationally, or with code.

What is Flowise?

Flowise is an open-source, low-code visual builder for LLM chains, RAG pipelines, and multi-agent AI workflows, available self-hosted or as a managed cloud service, and owned by Workday since August 2025.

Sim vs Flowise: feature-by-feature comparison

CompareSim vs Flowise
Sim
Flowise
Platform
Builder type
Sim
Visual canvas, chat, or codeVisual drag-and-drop canvas, natural-language (Chat), or code (API/SDK)
Flowise
Visual canvas plus custom-code nodesFlowise is primarily a drag-and-drop visual canvas for wiring chatflow and agentflow nodes together, supplemented by Custom JS Function nodes for arbitrary code and a Custom Tool node for JS-based tools. There is no natural-language "describe it and I'll build it" flow generator.. No natural-language workflow generation feature.
Learning curve
Sim
Low, plus natural-language Chat for non-technical usersLow for visual building; natural-language Chat surface for non-technical builders. Chat lets users describe a workflow in plain language and have Sim build it.
Flowise
Easy to start, technical depth needed for productionApproachable for non-technical users via templates and drag-and-drop nodes, but real production use (custom tools, external libraries, env vars) requires developer comfort with JavaScript and LangChain concepts.
Self-hosting
Sim
Yes: Docker Compose or Kubernetes (Helm)
Flowise
Yes: Flowise's Community Edition is Apache 2.0 and can be self-hosted, including via Docker, on your own infrastructure.
Deployment options
Sim
Cloud-hosted or self-hosted, no mid-tier VPC optionCloud-hosted (managed, multi-tenant SaaS) or self-hosted (Docker/Kubernetes). No documented managed single-tenant/VPC hosting tier in between. The Enterprise plan's only hosting-related row in the pricing comparison table is a boolean "Self Hosting" flag; there is no dedicated-instance/VPC offering.
Flowise
Self-hosted, cloud, and enterprise on-prem/air-gappedFlowise offers self-hosted open-source deployment (Docker/npm), a managed multi-tenant Cloud plan, and an Enterprise tier supporting on-premise or air-gapped deployment for regulated industries.
Templates
Sim
Yes: pre-built workflow template library across categories (Marketing, Sales, Finance, Support, AI)
Flowise
Yes: Flowise ships a Marketplace of pre-built, production-ready chatflow and agentflow templates (document Q&A/RAG, SQL agents, multi-agent orchestration), filterable by type, framework, and use case, plus support for organizations to save their own custom templates.
License
Sim
Apache 2.0Apache License 2.0
Flowise
Apache 2.0 (core), commercial license for enterprise modulesFlowise's Community Edition is licensed under the Apache License, Version 2.0. Enterprise-only modules (SSO, RBAC, audit logs, organization workspaces) ship under a separate Commercial License.
Environment promotion
Sim
Yes: fork a whole workspace into a dev/qa/prod-style child, diff it, and promote or roll back changes in either direction. Credential and env-var remapping is required before every promote, so secrets are never silently copied across environments. Gated to Enterprise plan on hosted Sim, or a FORKING_ENABLED flag on self-hosted deployments.
Flowise
Unknown / not documentedUnknown: no documentation describes forking or cloning a whole project or workspace and promoting it between dev, QA, and production environments. Flowise's version control works at the level of individual chatflow/assistant history snapshots, not whole-environment promotion.
Version control
Sim
Deployment rollback plus Copilot edit diff/revertDeployed-version history with rollback for every workflow; server-persisted checkpoint/revert and visual diff (accept/reject) specifically for Copilot AI edits. Manual drag-and-drop undo/redo is client-side/localStorage only (capped at 100 ops, 5 stacks), not server-synced across devices. Deployment history does not include an arbitrary version-to-version diff tool, and knowledge base documents have no version history.
Flowise
Yes: Flowise automatically saves a version snapshot every time you save a ChatFlow or Assistant, with a history view to restore prior versions. This is snapshot-and-restore depth, not full diff or branching.
Realtime collaboration
Sim
Yes: live multiplayer editing of the same workflow canvas, with real-time cursors, selection broadcasting, and synced concurrent edits over a dedicated realtime backend
Flowise
No: Flowise's canvas supports only one user per session, with no live, multi-cursor editing of the same flow. This has been an open community feature request.. Cloud/Enterprise multi-user features (workspaces, RBAC) govern access, not concurrent editing.
Native file storage
Sim
Yes: a native Files area with folder hierarchy, link-based sharing (public, password, email OTP, or SSO auth), and a workspace-level Recently Deleted view covering workflows, tables, knowledge bases, files, and folders. Admins can restrict which share-auth modes (public/password/email/SSO) a permission group is allowed to use.
Flowise
Unknown, only per-node file uploads documentedUnknown: no documented general-purpose file storage system with folder hierarchy, link-sharing with access controls, or recovery of deleted items. Flowise's file handling is scoped to per-node uploads and Document Store ingestion, not a standalone file manager.
Sub-workflows (composition)
Sim
Yes: a Workflow block calls another saved workflow as a step, waits for it to finish, runs its latest deployed version, and maps parent variables into the child's input form. Self-references are blocked to prevent infinite recursion.
Flowise
Yes: Flowise's Execute Flow node calls another saved Chatflow or Agentflow as a step, passes it input, waits for the child flow to finish, and receives its output back to continue the parent flow.
Pricing
Pricing model
Sim
Credit-based billing, BYOK exempt from capsCredit-based usage billing (Stripe), with bring-your-own-key exemption from metered caps
Flowise
Prediction-volume based tiers (cloud), free self-hostingFlowise Cloud prices by monthly prediction (execution) volume plus storage tier, with separate paid plans; self-hosting is free aside from your own infrastructure and LLM costs.
Entry paid plan
Sim
Pro plan at $25/user/monthPro: $25 per user/month
Flowise
$35/month Starter: unlimited flows, 10k predictions, 1GB storageThe cheapest paid Cloud plan (Starter) is reported at $35/month, including unlimited flows, 10,000 predictions/month, and 1GB storage.. Sourced from third-party aggregator coverage; Flowise's own pricing page sits behind a login wall.
Free tier
Sim
Yes: Free plan with 1,000 monthly credits (worth $5, env-configurable) refreshed daily, no credit card required
Flowise
Yes: a free Cloud plan exists with 2 flows/assistants, 100 predictions per month, and 5MB storage, with community support and Flowise embed branding.
Bring your own key
Sim
Yes: bring-your-own-key support exempts usage from metered credit caps, and multiple keys stored for the same provider are automatically round-robin rotated, with automatic fallback past any key that fails to decrypt
Flowise
Yes: users configure their own LLM provider API keys as encrypted credentials within Flowise (self-hosted or cloud), so LLM usage is billed directly by the provider rather than metered by Flowise beyond its own prediction-count limits.. Flowise Cloud plans still cap by predictions/month regardless of BYOK.
Security & compliance
SOC 2
Sim
Yes: SOC2 compliant
Flowise
No official confirmation foundUnknown: a third-party security-scan aggregator (Nudge Security) lists Flowise as SOC 2 compliant among several other certifications, but Flowise has published no SOC 2 report, badge, or trust page of its own.. The same third-party source also claims FedRAMP and PCI compliance for a small startup, an atypical combination not corroborated on flowiseai.com.
Data residency
Sim
Full control via self-hosting; Cloud region toggle is global, not per-customerFull data control via self-hosting (Docker/Kubernetes); data never leaves customer infrastructure when self-hosted. On Sim Cloud, async job execution has an internal US/EU region toggle, but it is deployment-wide, not a customer-selectable per-workspace residency option
Flowise
Yes, indirectly: self-hosting (including on-prem/air-gapped Enterprise deployment) lets an organization fully control data location. There is no dedicated regional-cloud-hosting option for the managed Cloud product.
Role-based access control
Sim
Yes: admin/write/read workspace permissions, org-level admin/member roles
Flowise
Yes: Enterprise and Cloud Workspaces support custom roles with granular per-resource permissions (full access vs. view-only). User and Workspace Management resources (Roles, Users, Workspaces, Login Activity) are restricted to Account Admins only.
Audit logging
Sim
Yes: dedicated audit_log table plus workflow execution logs, exposed via a public /v1/audit-logs API (Enterprise plan), plus continuous SIEM/warehouse export to Datadog, S3, GCS, Azure Blob, BigQuery, or Snowflake via a data-drains dispatcher
Flowise
Yes: Workspaces (Cloud and Enterprise plans) let Account Admins see every login and logout across all users. The docs do not show a separate detailed action-by-action audit trail beyond this login activity log.
Additional compliance
Sim
SOC2SOC2. Self-hosting is the primary lever Sim offers for data-residency-sensitive compliance needs beyond SOC2, rather than additional certifications.
Flowise
Unknown, no official certifications publishedUnknown: beyond the unconfirmed third-party SOC 2 claim, Flowise has published no HIPAA, ISO 27001, PCI, or FedRAMP certification.
Model & tool governance
Sim
Yes: enterprise "permission groups" let an admin allow-list/deny-list specific LLM providers and models, and separately deny specific tools/integrations (or disable all MCP or custom tools) per group, layered on top of workspace admin/write/read roles. This does not control whether an LLM provider retains prompts. Sim offers no "zero data retention" mode or governed AI gateway. A separate, Enterprise-gated feature lets orgs set a log-retention window and redact PII, but that only controls how long Sim itself keeps execution logs.
Flowise
Unknown, RBAC is resource-level not model/tool-specificUnknown: no documented admin controls restrict which specific LLM providers/models or which tools/integrations a given role may use. Flowise's RBAC governs resource-level (create/edit/delete) permissions, not model/tool allowlists.
Credential governance
Sim
Yes: shared credentials (connected accounts, service accounts, workspace secrets) are their own nested permission level (Member/Admin) below organization and workspace roles, and enterprise permission groups can further allow-list specific integrations and restrict which file-share auth modes (public/password/email/SSO) a group may use. A user's personal environment variables/secrets are never shared or inherited by anyone, including org owners/admins.
Flowise
Credentials shareable across workspaces; per-role credential limits unclearPartial: credentials can be shared across workspaces in Flowise's workspace model, but there is no documented way to restrict which specific stored credential a given role/permission group may use.
Single sign-on (SSO)
Sim
Yes: SAML 2.0 and OIDC single sign-on, with users routed to SSO by their email domain and automatically provisioned into the organization on first sign-in
Flowise
Yes, with a caveat: Enterprise-plan SSO supports OIDC via Microsoft Azure/Entra ID, Google, and Auth0, but has no automatic org auto-provisioning. Invited users must be added first before SSO login works.. No SAML support documented.
Vetted first-party integrations
Sim
Yes: every one of Sim's 302 blocks is first-party authored and code-reviewed through the standard pull-request process in the main Sim repository; there is no public marketplace where an arbitrary third party can publish and have other users install executable tool code without going through Sim's own review. Custom code steps run inside Sim's own isolated-vm sandbox rather than as an installable third-party skill package, so the supply-chain trust boundary is Sim's codebase review, not an open registry.
Flowise
Yes: Flowise's nodes (LLMs, tools, vector stores, document loaders) live in the packages/components/nodes folder of the core FlowiseAI/Flowise monorepo. New nodes are contributed via GitHub pull request and reviewed/merged by the Flowise team before shipping in an official release, rather than published independently by third parties into an open, unreviewed marketplace. The separate Marketplace feature distributes JSON chatflow/agentflow templates, not installable executable code.. Flowise has still had first-party security issues: CVE-2025-59528 (CVSS 10.0) was a critical unauthenticated remote code execution flaw in the official CustomMCP node, where user-supplied mcpServerConfig input was passed into a JavaScript Function() constructor. It was patched in 3.0.6, but VulnCheck observed in-the-wild exploitation starting April 2026 against thousands of still-exposed instances. This was a bug in vetted, first-party code, not a malicious third-party community node.
PII redaction
Sim
Yes: a Guardrails workflow block detects and blocks or masks PII (30+ entity types across the US, UK, and several other countries) via Microsoft Presidio, in addition to the org-level data-retention PII policy applied to stored data
Flowise
Unknown, not documentedUnknown: no documented PII detection/redaction feature for workflow content or logs.
Custom data retention
Sim
Yes: Enterprise orgs can independently configure log retention, soft-deletion cleanup, and Chat/Copilot task cleanup (chats, runs, checkpoints, Inbox tasks) at 1 day to 5 years or Forever, applied org-wide with no per-workspace override
Flowise
Unknown, not documentedUnknown: no documented org-configurable retention windows for execution logs or soft-deleted resources.
White-labeling
Sim
Yes: Enterprise orgs can replace the logo, wordmark, brand name, and primary/accent theme colors across the workspace UI with their own
Flowise
Partial: widget theming yes, full logo/brand removal unclearPartial: the free plan includes Flowise's own embed branding, and paid plans support customizing the embedded chat widget's theme (colors, welcome message, tooltips). Community reports indicate fully removing the "Powered by Flowise" watermark requires workarounds, not a clean built-in option.
AI capabilities
Multi-LLM support
Sim
21 providers incl. OpenAI, Anthropic, Google, Bedrock21 provider integrations (OpenAI, Anthropic, Google/Gemini, Azure OpenAI, Azure Anthropic, Groq, Cerebras, Mistral, xAI, Bedrock, Vertex, Ollama, OpenRouter, and more). apps/sim/providers/models.ts defines 21 provider entries; openrouter/litellm/vllm/ollama resolve models dynamically at runtime rather than from a hardcoded model list.
Flowise
Yes: Flowise integrates a broad set of LLM providers including OpenAI, Azure OpenAI, AWS Bedrock, Google PaLM/Vertex AI, Cohere, HuggingFace Inference, Ollama, Replicate, and Anthropic models (Claude 3.5/4), covering both hosted and self-hosted open-source models.
Agent reasoning blocks
Sim
Yes: dedicated agent, function-calling, RAG, code-execution, and evaluation blocks, not just data routing
Flowise
Yes: Flowise's Agentflow V2 provides dedicated Agent nodes plus orchestration primitives (Condition, Iteration, Human Input) for multi-step agent reasoning and tool-use loops, distinct from plain data-routing nodes.
Natural-language building
Sim
Yes: Chat + in-editor AI Copilot can build and modify workflows from natural-language requests
Flowise
Unknown, not documentedUnknown: no documented feature lets a user describe an automation in plain language and have Flowise generate or edit the flow automatically.
Knowledge base / RAG
Sim
Yes: native hybrid vector (pgvector) + keyword search knowledge base, 11 supported file formats, configurable chunking
Flowise
Yes: Flowise's Document Store provides a full RAG pipeline covering document loading (PDF, web pages, Word, etc.), configurable chunking/text-splitting, multiple embedding providers, and upsert into vector stores like Pinecone, Weaviate, Milvus, and FAISS.. n8n's 2026 report rated Flowise's chunking/splitter options the broadest natively available among evaluated tools.
MCP support
Sim
Yes: both MCP client (call external MCP servers) and MCP server (expose Sim workflows as MCP tools)
Flowise
Yes: Flowise acts as an MCP client, consuming external MCP servers as tools via Stdio (NPX/Docker) or Streamable HTTP transports, with prebuilt MCP integrations (GitHub, Atlassian Jira, Brave Search) and a Custom MCP node for any server.
Evaluation & guardrails
Sim
LLM-judge Evaluator plus Guardrails validation blockEvaluator block (LLM-judge scoring against user-defined named metrics) and Guardrails block (JSON validity, regex, RAG/hallucination scoring, PII detection/masking). These are per-call scoring/validation primitives, not a batch golden-dataset eval-suite runner or A/B prompt-testing harness.
Flowise
Yes: Flowise has a built-in Evaluations feature that runs datasets through chatflows/agentflows and scores outputs with string-match, numeric, or LLM-as-judge evaluators, reporting pass/fail rate, average tokens consumed, and latency. There is no separate, dedicated "guardrail validation" block beyond this.
Human-in-the-loop
Sim
Yes: dedicated approval block that pauses a run and waits for a human-submitted "Resume Form," with durable pause/resume via persisted execution snapshots and notification hooks (e.g. Slack, email) carrying the resume link
Flowise
Yes: Agentflow V2 includes a dedicated Human Input node that pauses execution and resumes only after a human approves or rejects the pending action, with separate output paths for each outcome.
Generative media
Sim
Yes: dedicated image (4 provider families incl. OpenAI, Gemini, Fal.ai proxy), video (5+ provider families incl. Runway, Veo, Luma, Hailuo, Fal.ai proxy), text-to-speech (7 providers), and speech-to-text (5 providers) blocks
Flowise
Partial: STT built in, image/TTS via custom tools onlyPartial: Flowise supports speech-to-text nodes and multi-modal image inputs. Image and audio generation can be wired in via custom tools calling providers like Replicate (Stable Diffusion) or ElevenLabs, but the standard node library has no dedicated, built-in image, video, or text-to-speech generation node.. Community GitHub issues show text-to-speech and native image generation as requested but not shipped as first-class nodes.
Dynamic tool use
Sim
No: an Agent block calls tools the workflow author explicitly added to it at build time, rather than browsing and picking from a broader pool (e.g. an entire MCP server catalog) at inference time. Runtime MCP "discovery" exists to resolve/refresh the schema of an already-configured tool. The model does not browse or choose from the server's full tool list.
Flowise
Yes: Flowise's Agent nodes and Custom MCP integration let an agent dynamically discover and select from a connected pool of tools/actions at inference time, rather than calling only a single pre-wired tool per step.
Automatic model fallback
Sim
No: a failed or rate-limited LLM call is retried using Sim's own hosted API keys for the same model, rather than automatically switching to a different model or provider. A "fallback" comment in the provider layer refers to rotating among Sim's own hosted API keys for the same model, not switching models.
Flowise
Unknown, not documentedUnknown: no documented automatic retry against a different model or provider on a failed/rate-limited LLM call.
Agent skills
Sim
Yes: named, reusable "Agent Skills" (built on the open Agent Skills / SKILL.md format) that agents load on demand via progressive disclosure, editable in-app or imported from a SKILL.md file or GitHub URL. Only the skill name and description sit in the agent's system prompt (~50-100 tokens each); the full instructions load into context only when the agent calls load_skill.
Flowise
Unknown, not documented as a distinct featureUnknown: no documented reusable, named prompt/knowledge-snippet feature invoked by reference across multiple agents, distinct from a one-off system prompt or Variables feature.. Flowise has a general Variables feature (static/runtime key-value), but it is not documented as an agent-skill abstraction.
Native chat deployment
Sim
Yes: a workflow can be deployed as a public, shareable Chat interface with selectable auth (public, password, email OTP, or SSO), in addition to API and MCP deployment targets
Flowise
Yes: a built flow can be deployed as a shareable public chat URL or an embeddable chat widget (popup bubble or full-page, via JS script or React components), plus a REST API endpoint.
Parallel execution
Sim
Yes: a native Parallel block fans a run out into concurrent branches (fixed count or one per list item) and joins their results back into the workflow automatically. Contained blocks run concurrently instead of sequentially, either a fixed number of times or once per item in a list/collection, and each branch's output aggregates for downstream blocks.
Flowise
No: AgentFlow V2 lets users draw a branching canvas layout, but the execution engine processes the queue one node at a time and does not run parallel branches concurrently, per user reports and Flowise's own issue tracker. This causes chat-history and input-inheritance bugs when a canvas is arranged in a parallel shape.
Agent2Agent (A2A) protocol
Sim
Yes: a dedicated A2A block sends messages to, tracks and cancels tasks on, and discovers the capabilities of any Agent2Agent (A2A)-compliant external agent via its Agent Card
Flowise
No: Google A2A (Agent2Agent) protocol support is an open, unimplemented GitHub feature request (opened April 2025). Flowise supports MCP for tool-calling but has no Agent Card or agent-to-agent discovery feature.
Loop / iteration block
Sim
Yes: a Loop container block runs the blocks inside it repeatedly (For a fixed count, ForEach over a collection, While a condition holds, or Do-While), running iterations one after another; concurrent fan-out is a separate Parallel block
Flowise
Yes: Flowise's Agentflow V2 has a dedicated Iteration node that takes an array and executes a nested sub-flow of steps once per item, running sequentially. Its separate Loop node instead jumps backward to re-run an earlier node, a retry cycle rather than a collection iterator.
Integrations
Integrations
Sim
302 blocks, ~3,900 tool actions302 first-party blocks, ~3,900 underlying tool actions. Sim's landing page cites "1,000+ integrations," a broader figure counting individual API actions rather than top-level blocks. Both numbers describe the same integration surface.
Flowise
Broad multi-category node library, exact count unverifiedFlowise documents integration categories across LLMs, vector stores, document loaders, embeddings, tools, and MCP servers (referred to internally as "nodes"), but publishes no exact total node/integration count.
Trigger types
Sim
Webhook, cron, chat, REST API, triggers for 61 appsWebhook, schedule/cron, chat, REST API, and event-based triggers for 61 apps (Slack, Gmail, GitHub, Stripe, etc.)
Flowise
Chat, API/webhook-style prediction calls; no schedule trigger foundFlowise flows are triggered via the chat widget or public URL, direct REST API prediction calls (/api/v1/prediction/{chatflowId}), and Custom MCP/tool invocations. There is no dedicated cron/schedule trigger or broad library of app-specific event triggers.
Custom code steps
Sim
Yes: code-execution block for custom logic
Flowise
Yes: Flowise has a Custom JS Function node for arbitrary JavaScript (async functions, plus built-in and external Node modules) and a Custom Tool node for JS-based agent tools. There is no dedicated Python code-step node.
API publishing
Sim
Yes: versioned public REST API (/api/v1) with rollback, streaming (SSE) execution responses with a resumable event buffer, an API-trigger block, and a chat-deployment surface
Flowise
Yes: any chatflow can be called as a REST API via /api/v1/prediction/{chatflowId}, with client code generated for Python, JavaScript, and cURL, and sessionId support for maintaining conversation context.
SDKs & extensibility
Sim
No official client SDK. The API is REST-only via an x-api-key header. Extensibility instead comes from MCP (client + server), a sandboxed code-execution block (JS/Python), custom tools, and an Agent-to-Agent (A2A) protocol block for external agent interop
Flowise
Embed SDKs and custom-node dev docs; no plugin marketplace foundPartial: Flowise provides official embed SDKs (a flowise-embed JS package and React BubbleChat/FullPageChat components) and a documented process for building custom nodes to contribute. There is no first-party marketplace for community-built node plugins beyond the flow-template Marketplace.
Publish as MCP server
Sim
Yes: any deployed workflow can be published as a tool on an MCP server (private, API-key protected, or public/no-auth), with ready-to-paste client config generated for Cursor, Claude Code, Claude Desktop, and VS Code
Flowise
No: Flowise's documentation covers only consuming external MCP servers as an MCP client. It has no capability for publishing a deployed Flowise flow itself as a callable MCP server for other AI tools.. Third-party community wrapper packages (e.g. mcp-flowise) expose Flowise chatflows via MCP externally, but this is not native.
Observability & durability
Tracing & observability
Sim
Yes: execution logs include a per-block/per-span trace view (duration, cost, token counts, and latency stats like TTFT/TPS) with expandable nested iteration groups, plus a "View Snapshot" frozen copy of the workflow structure and block states at run time for debugging. This trace view is built directly into Sim rather than a raw export browsable in an external tool like Jaeger, and does not expose aggregate latency-percentile charts (p50/p95/p99). The run snapshot serves as a log-detail/debugging artifact rather than a resumable mid-run checkpoint.
Flowise
Yes: Flowise provides built-in analytics/observability and integrates with third-party tracing tools (Langfuse, Opik) for per-execution, block-level trace views including duration, cost, and token usage, beyond simple aggregate stats.
Durability & retries
Sim
Tool-call retries (up to 10x); single-attempt job orchestrationIndividual tool/API calls have configurable exponential-backoff retry (up to 10 attempts). The background job-orchestration layer itself retries only once by design. Durability instead comes from consecutive-failure tracking on schedules and the human-in-the-loop snapshot pause/resume mechanism. Sim does not offer guaranteed-once-only block execution, a failed-run holding queue for manual recovery, or a "replay a past execution with its original inputs" feature. The per-execution debugging snapshot serves as a log-detail artifact rather than a resumable mid-run checkpoint.
Flowise
Unknown, not documentedUnknown: no documentation describes automatic retries, checkpointing, or replay of a past execution with its original inputs.
Failure alerting
Sim
Yes: a sim_workspace_event trigger fires on run success/failure, deployments, and cost/latency spikes, wired to any notification block (Slack, email, webhook) for real-time alerting
Flowise
Unknown, not documentedUnknown: no documented proactive notification (email/Slack/webhook) when a run fails or crosses a cost/latency threshold, beyond viewing failures in logs/observability tools.
Data drains
Sim
Yes: Enterprise orgs can continuously export workflow logs, job logs, or audit logs on a schedule to a customer-owned S3 bucket, GCS bucket, Azure Blob container, BigQuery table, Snowflake table, Datadog logs intake, or an HTTPS webhook. Each drain exports exactly one data source; multiple drains are created to export multiple sources. Viewing drain config/run history is restricted to org owners/admins.
Flowise
Partial: trace export to Langfuse/Opik only, no generic data-drain foundPartial: Flowise supports exporting execution traces to external observability platforms (Langfuse, Opik) on an ongoing basis, but has no documented way to export raw execution/audit/usage data to generic destinations like S3, BigQuery, or Datadog.
Async execution
Sim
Yes: a workflow can be triggered in fire-and-forget async mode, returning HTTP 202 with a job ID immediately, then polled via a dedicated jobs endpoint through queued/processing/completed/failed states. Async jobs are tracked via polling the job endpoint rather than a completion webhook/callback option.
Flowise
Partial: queue mode exists, prediction API is documented as synchronousPartial: Flowise supports a queue-based execution mode ("Running Flowise using Queue") for scaling background job processing, but the standard /api/v1/prediction endpoint is documented as a synchronous call, with no clear poll-for-result async API pattern.
Execution limits
Sim
5-50 min sync timeout, 90 min async, 15-300 concurrentPlan-gated: synchronous API calls time out at 5 minutes on the free plan and 50 minutes on paid plans, async calls at 90 minutes on every plan, with 15 to 300 concurrent executions per billing entity depending on plan. These limits are not published in docs; request bodies are separately capped at 10 MB.
Flowise
Unknown, only monthly prediction caps are publishedUnknown: Flowise publishes no numbers for maximum single-execution duration or concurrency limits, beyond monthly prediction-count caps tied to Cloud pricing tiers.
Partial-failure handling
Sim
Yes: any block can be wired to a dedicated error-output edge, so a failing step routes execution down an error-handling branch instead of always halting the entire run
Flowise
Yes: Agentflow V2's conditional branching and Human Input reject-path let a workflow route around a problematic step (e.g. loop back for refinement) rather than only halting entirely, though there is no dedicated "catch/error-handler" node distinct from conditional routing.
Support
Support channels
Sim
Community support plus Enterprise 'Dedicated Support'Community (open source, GitHub) plus an unquantified "Dedicated Support" flag on the Enterprise plan. Enterprise and pricing pages do not include CSM, onboarding/enablement, or professional-services details beyond a plan-comparison-table "Dedicated Support" flag.
Flowise
Community (free), priority (Pro), dedicated (Enterprise)Flowise offers community support (GitHub, Discord) on free/self-hosted tiers, priority support on the Pro Cloud plan, and personalized/dedicated support on Enterprise.
SLA
Sim
Yes: the Enterprise plan includes a dedicated support SLA, negotiated per contract; specific response-time and uptime figures are not published on the self-serve pricing page
Flowise
Yes, ~99.99% SLA claimed on Enterprise planA formal SLA (99.99% uptime) is offered on the Enterprise plan per third-party coverage; no SLA is documented for lower tiers.. No official Flowise SLA page confirms this figure.
Community
Sim
100,000+ buildersOver 100,000 builders use Sim
Flowise
~54,000 GitHub stars, active Discord communityFlowise's GitHub repository has approximately 54,000 stars (Apache 2.0 licensed core), with an active Discord community whose exact member count is not published.
Academy / training
Sim
Yes: Sim Academy is a dedicated structured-learning section of the docs site, separate from reference documentation and the API reference
Flowise
No official academy; only third-party courses existFlowise runs no official academy or certification program. Third-party platforms (Coursera, Codecademy, Udemy) offer independent Flowise courses and certificates of completion, and Flowise maintains standard docs and YouTube tutorials.

Sim standout features

AI Copilot / Chat agent-building surface

Chat and in-editor Copilot suggest and build workflow changes directly.

A natural-language surface (Chat) and in-editor Copilot that can explain, suggest, and build workflow changes directly, backed by a dedicated copilot module with its own tool registry.

Hybrid semantic + keyword knowledge base

Combines vector and full-text search with configurable chunking across 11 file formats.

Built-in RAG with pgvector embeddings and a generated tsvector column for combined vector + full-text search, plus a token-based chunker with configurable chunk size/overlap and 11 supported file formats (csv, doc, docx, html, json, md, pdf, pptx, txt, xlsx, yaml).

Native MCP client and server

Call external MCP servers as tools, or expose Sim workflows as an MCP server.

A dedicated MCP block lets any workflow call external MCP servers as a tool, and a serve/workflow-servers API surface lets Sim expose its own workflows as MCP servers.

Fork a workspace into dev, qa, and prod environments

Fork, diff, and promote environments with mandatory credential remapping.

Fork a whole workspace into a dev/qa/prod-style child environment, preview a diff, and promote changes bidirectionally. Credential and env-var remapping is required on every promote, so secrets never cross environments silently.

Human-in-the-loop approvals with durable resume

Pause a run for human approval and resume later via a durable snapshot link.

A dedicated block pauses a run and waits for a human-submitted approval form, backed by persisted execution snapshots so the run can resume later via a link, even after a server restart.

Self-hostable under Apache 2.0

Fully open source with Docker Compose and Helm deployment options.

Fully open source (Apache 2.0), with Docker Compose files and a Helm chart for Kubernetes deployment, alongside a managed cloud-hosted option.

Documented Flowise limitations

Low enterprise-readiness score in third-party benchmarking

Scored only 37% on enterprise-readiness in a third-party 2026 vendor report.

The n8n 2026 AI Agent Development Tools report scored Flowise at 37% on "Enterpriseness," versus 63% on "Codability," citing gaps in security features, authentication mechanisms, and production-grade governance compared to top-performing platforms.

No native real-time multiplayer canvas editing

No live multi-cursor concurrent editing of the same flow.

Flowise's core canvas supports only one user editing a flow at a time, with no built-in real-time co-editing (like Google Docs) of the same chatflow. Community members have requested true multi-user collaborative editing as a feature.

Bottom line

Choose Sim if you want an open-source, self-hostable AI workspace that treats AI agents as first-class citizens: native multi-LLM support, real-time multiplayer editing, environment promotion (dev/qa/prod), human-in-the-loop approvals, and enterprise governance (SSO, credential-level permissions, audit logs) built in rather than bolted on.

Choose Flowise if you specifically need native RAG / Document Store pipeline: Flowise's Document Store handles the full RAG pipeline in one place: multiple document loaders, the broadest range of native text-splitter types (character, token, recursive character, markdown, code, HTML-to-markdown) with configurable chunk size and overlap, a live preview before processing, per-chunk editing, and upsert into a wide range of vector store backends.

Frequently asked questions

Sim is an open-source AI workspace where teams build, deploy, and manage AI agents visually, conversationally, or with code. Flowise is an open-source, low-code visual builder for LLM chains, RAG pipelines, and multi-agent AI workflows, available self-hosted or as a managed cloud service, and owned by Workday since August 2025. Teams considering a switch typically weigh licensing (Sim is Apache 2.0 and self-hostable), pricing model, and how AI-native the platform's agent-building experience is.

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