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Sim vs StackAI

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 StackAI 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 StackAI 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 StackAI?

StackAI is a proprietary, enterprise-focused visual platform for building, deploying, and governing AI agents, connecting LLMs and business systems through a drag-and-drop, low-code node builder.

Sim vs StackAI: feature-by-feature comparison

CompareSim vs StackAI
Sim
StackAI
Platform
Builder type
Sim
Visual canvas, chat, or codeVisual drag-and-drop canvas, natural-language (Chat), or code (API/SDK)
StackAI
Drag-and-drop nodes plus Python code nodesVisual/low-code node-based workflow builder. Drag-and-drop canvas of nodes (LLM, tools, logic, multimodal) for building agents; also supports Python code nodes for custom logic.
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.
StackAI
Not documentedUnknown
Self-hosting
Sim
Yes: Docker Compose or Kubernetes (Helm)
StackAI
Yes, on the Enterprise plan only. On-premise or VPC deployment, entirely within the customer's own VPC and behind their own VPN, is offered as part of the custom-priced Enterprise tier. Not available on the free tier.
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.
StackAI
Cloud, VPC/on-prem, AWS MarketplaceCloud SaaS, VPC/on-prem (Enterprise), plus an AWS Marketplace listing. Agents deploy to chat, forms, APIs, Slack, Teams, or batch run; also listed on AWS Marketplace as "StackAI Hosted".
Templates
Sim
Yes: pre-built workflow template library across categories (Marketing, Sales, Finance, Support, AI)
StackAI
Yes, template library across business functions. Pre-built templates for finance/compliance, business operations, customer service/support, sales, and more.
License
Sim
Apache 2.0Apache License 2.0
StackAI
Closed-source commercial SaaSProprietary / closed source. Commercial SaaS platform; the GitHub org (github.com/stackai) contains only auxiliary repos, not the core platform.
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.
StackAI
Yes: full dev/staging/production workspace promotion with PR-gated approval. Three default isolated environments (development, staging, production), each independently connectable to different data sources/APIs; changes flow via pull requests that must be reviewed and approved before promotion, with a central admin approval queue. Custom environments (QA, experimentation, demo, client-specific) can be added.
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.
StackAI
Version history, diff, and rollbackVersion history with diff/compare and rollback via revert; no branching or client-side undo/redo. Every save creates a full version snapshot; a compare tool diffs nodes, prompts/LLM config, and connections between versions. Any version can be reverted, which creates a new version and preserves history.
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
StackAI
Unknown, not confirmed in official docsUnknown: a third-party review mentions "real-time collaboration features," but StackAI's own documentation does not confirm live, concurrent multi-user editing (synced cursors, selections, live edits) on the same workflow canvas.. StackAI documents workspace and folder sharing with role-based access to projects. That is async collaboration, not verified simultaneous co-editing with presence indicators.
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.
StackAI
No: the Files node is a per-workflow input for uploading a document as context for the LLM, not a persistent file store. Ongoing file access goes through Knowledge Base connectors to external storage like Google Drive, Dropbox, OneDrive, SharePoint, Box, S3, or Azure Blob. There is no native file system with its own folder hierarchy, link-based sharing, or a trash/recovery feature.. Workspace "folders" that exist in StackAI docs organize projects/permissions, not user files.
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.
StackAI
Yes: an AI Agent node can invoke a separately saved StackAI workflow as a Subflow Tool. The parent agent passes input into the subflow, waits for it to run to completion, and receives the subflow's output node result back before continuing, rather than only firing an async webhook-triggered run.. Subflow Tools are configured on the AI Agent node; each must connect to an output node to complete, and the docs describe subflows running "collaboratively" where one subflow's output can inform whether/how another is invoked. Whether a Subflow Tool can be reused unmodified across multiple parent workflows is unconfirmed.
Pricing
Pricing model
Sim
Credit-based billing, BYOK exempt from capsCredit-based usage billing (Stripe), with bring-your-own-key exemption from metered caps
StackAI
Freemium plus custom Enterprise quoteFreemium + custom-quote Enterprise tier, metered by monthly runs/projects/seats
Entry paid plan
Sim
Pro plan at $25/user/monthPro: $25 per user/month
StackAI
No self-serve paid tier. Only Free and custom-quote Enterprise. The pricing page shows only "Free" ($0/mo) and "Enterprise" (custom pricing); there is no self-serve paid mid-tier.
Free tier
Sim
Yes: Free plan with 1,000 monthly credits (worth $5, env-configurable) refreshed daily, no credit card required
StackAI
Yes: 500 runs/month, 2 projects, 1 seat, community Discord support
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
StackAI
Not documentedUnknown
Security & compliance
SOC 2
Sim
Yes: SOC2 compliant
StackAI
Yes: SOC 2 Type II, audited by Modern Assurance
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
StackAI
Not documentedUnknown
Role-based access control
Sim
Yes: admin/write/read workspace permissions, org-level admin/member roles
StackAI
Enterprise SSO plus least-privilege accessAccess controls and SSO on the Enterprise plan; least-privilege access to customer data internally. The Enterprise plan includes access control and SSO. The Trust Center states customer-data access is restricted on a least-privilege basis with unique personnel IDs and controlled non-console production access.
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
StackAI
Yes: automatic logs of every run, capturing input/output, token usage, and runtime
Additional compliance
Sim
SOC2SOC2. Self-hosting is the primary lever Sim offers for data-residency-sensitive compliance needs beyond SOC2, rather than additional certifications.
StackAI
ISO 27001 certified; HIPAA audited, GDPR marketing-onlyISO 27001 certified, and audited against HIPAA in the same review cycle as its SOC 2 Type II audit, though the public Trust Center page itself lists only SOC 2 and ISO 27001, not HIPAA. The Trust Center confirms SOC 2 Type II and ISO 27001, DPAs with OpenAI and Anthropic, and a May 2025 penetration test with a Low risk rating. A separate StackAI blog post states the company "was also audited against HIPAA standards during the same period as the SOC 2 Type II audit." GDPR compliance is referenced on the Enterprise pricing page but has no dedicated audit source.
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.
StackAI
Not documentedUnknown
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.
StackAI
Yes: owners and admins can share a connection org-wide or restrict it to specific users or groups, separately from the four-tier role system (Admin, Editor, User, Viewer). StackAI recommends pairing private folders with restricted connections and knowledge bases for sensitive workflows.
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
StackAI
Yes: StackAI supports Single Sign-On through a dedicated SSO settings page, integrating with identity providers like Okta and Entra ID to inherit groups and permissions. Newly provisioned SSO users get a default role, and admins can require SSO for all interfaces org-wide.. Docs confirm SSO login and default-role auto-provisioning behavior. SAML vs OIDC protocol details are not specified beyond the Okta/Entra ID integration.
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.
StackAI
Yes: StackAI's 70+ app integrations (databases, cloud storage, CRMs, communication tools) are built and maintained by StackAI's own team, not an open community marketplace. Users needing an unlisted service fall back to a built-in Custom API node or connect their own MCP servers, rather than installing code published by other third-party users.. There is no public marketplace or community-node registry (like n8n community nodes) where outside developers publish installable integrations for other StackAI users. MCP support lets a workspace point at third-party MCP servers, but that is a user-configured connection to an external server the user chooses, not a shared plugin store with lighter vendor review. No StackAI-specific security incident involving its integrations or MCP connections appears in public sources.
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
StackAI
Yes: StackAI's security page states that built-in mechanisms detect and mask personally identifiable information (PII) during processing. Its guardrails guidance also covers redacting PII in inputs, retrieval, and logs as part of enterprise agent design.
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
StackAI
Yes: StackAI's Trust Center and security documentation state the org can configure data retention durations, backed by a documented Data Retention and Disposal Policy, rather than a single fixed platform-wide default.. Public sources describe the policy existing and retention being settable, but exact granularity (per-resource-type controls like execution logs vs soft-deleted items separately) was not independently confirmed.
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
StackAI
Unknown, not publicly documentedUnknown: StackAI does not document letting customers replace its logo, product name, or theme colors across the workspace or deployed-app UI. Deployed chat interfaces can be styled/branded, but full workspace-level white-labeling is unconfirmed.. Marketing pages reference brand guidelines for StackAI's own brand, and chat widgets can be styled to match a customer's site, but no source confirms full white-label replacement of vendor branding.
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.
StackAI
Yes, broad support across major LLM providers. Supports a wide range of LLMs, with documented data processing agreements with OpenAI and Anthropic.
Agent reasoning blocks
Sim
Yes: dedicated agent, function-calling, RAG, code-execution, and evaluation blocks, not just data routing
StackAI
Not documentedUnknown
Natural-language building
Sim
Yes: Chat + in-editor AI Copilot can build and modify workflows from natural-language requests
StackAI
Not documentedUnknown
Knowledge base / RAG
Sim
Yes: native hybrid vector (pgvector) + keyword search knowledge base, 11 supported file formats, configurable chunking
StackAI
Yes: knowledge base / data loader connections. Connects to knowledge bases, tools, and business systems; the Enterprise plan includes all data loaders.
MCP support
Sim
Yes: both MCP client (call external MCP servers) and MCP server (expose Sim workflows as MCP tools)
StackAI
Yes: dedicated MCP node. An MCP node lets a workflow call a tool on a Model Context Protocol server, using public servers via URL connection or self-hosted/local MCP servers exposed via a tunnel (e.g. ngrok) for advanced users.
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.
StackAI
Guardrail guidance, no dedicated productRetrieval grounding, tool-call validation, and output enforcement are covered in vendor guidance, but there is no dedicated first-party evaluation or guardrails feature.
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
StackAI
Yes: dedicated pause-and-approve mechanism distinct from a simple delay step. A workflow pauses at a decision point and sends an approval request via Slack, Teams, email, or another connected channel. A human reviewer can approve, reject, or give feedback, and the gated action, such as sending an email, writing to a database, or provisioning access, only executes after approval. This checkpoint reduces the damage a hallucination or a mistaken tool call could cause.
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
StackAI
Yes: image and audio generation nodes; no dedicated video generation node. A Text-to-Audio node uses ElevenLabs for TTS and voice cloning; an Image node generates images from text prompts using models such as OpenAI DALL·E 3 or Stable Diffusion.
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.
StackAI
Not documentedUnknown
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.
StackAI
Not documentedUnknown
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.
StackAI
Yes: StackAI has a Prompt Library where builders save and reuse named prompts/instructions (e.g. a saved "Market Analyst Persona") across agents, rather than re-writing a one-off system prompt each time.. Documented as a prompt/instruction library, not explicitly branded as "skills" with structured knowledge attachments the way some competitors frame it.
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
StackAI
Yes: builders can publish a workflow or agent as a hosted Chat Assistant interface, alongside form, batch run, Slack, Teams, and API deployment targets. A chat widget can also be embedded on external sites via a copy-paste snippet.
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.
StackAI
Partial, via parallel tool calls and loop modePartial: StackAI's core workflow builder is built around sequential and conditional (If/Else) branching rather than a dedicated deterministic fan-out/fan-in node. Concurrent execution shows up at the AI Agent node level, where the agent can call multiple Subflow Tools in parallel (e.g., checking several independent systems at once) and StackAI Project nodes can run in parallel under loop mode.. There is no standalone "split into parallel paths" or "parallel branches" node in the core logic node set (If/Else, Loop Subflow). Parallelism instead comes from agent-driven concurrent tool calls or parallel sub-project execution inside a loop, a narrower mechanism than a general-purpose fan-out/fan-in workflow node.
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
StackAI
No: StackAI's documentation, changelog, and blog do not mention the Agent2Agent (A2A) protocol or Agent Cards.. StackAI documents MCP-style tool integration and Subflow Tools/StackAI Project nodes for composing agents, but nothing references the A2A open standard.
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
StackAI
Yes: the Loop Subflow node iterates over a list of inputs, running its Loop branch once per item sequentially, with the current item exposed via a current_item variable. A separate Done branch runs once after all iterations finish, collecting any outputs explicitly emitted inside the loop.. This is a sequential, one-item-at-a-time iterator distinct from the parallel/concurrent execution StackAI exposes separately through parallel Subflow Tool calls or parallel Project runs inside a loop.
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.
StackAI
100+ integrations100+ enterprise integrations. Includes Notion, Airtable, AWS, BigQuery, GitHub, Google Workspace, HubSpot, MongoDB, and MCP.
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.)
StackAI
Scheduled triggers, outbound webhooks onlyScheduled/time-based triggers and outbound webhook calls (e.g., to Make); no native inbound webhook trigger node. Supports scheduled workflows (daily/weekly/monthly automation) and a Make node that can POST to trigger a Make.com scenario. Deployment surfaces include chat, forms, API, Slack, Teams, and batch run.
Custom code steps
Sim
Yes: code-execution block for custom logic
StackAI
Yes: Python code node. A dedicated Python Code node allows custom logic within workflows.
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
StackAI
Yes: workflows publishable as a REST API with generated client snippets. Any flow can be exported and published as an API. Docs provide request snippets in Python, JavaScript, and cURL, with OAuth2-token authentication and a separate API reference.
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
StackAI
Code snippets only, no SDK or marketplaceClient code snippets only (Python, JavaScript, cURL); no installable SDK package, plugin/custom-node dev kit, or community integration marketplace. Docs provide request snippets for calling a published flow's API, but there's no distributable SDK package, documented custom-node/plugin SDK, or marketplace of community-built integrations.
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
StackAI
Yes: StackAI provides a hosted MCP server (mcp.stack.ai/mcp) and an open-source stack-ai-mcp server. Either lets external MCP-compatible clients, such as Claude Desktop, run a published StackAI workflow as a callable MCP tool, passing inputs in and getting structured results back.
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.
StackAI
Usage dashboard and run logs, no span tracingAnalytics dashboard with usage graphs and per-run execution logs; no dedicated span-level distributed tracing UI. An Analytics section shows workflow usage graphs and a full list of execution logs (input/output, token usage, runtime performance). There is no granular per-step span tracing for individual tool-call/LLM-call spans within a run.
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.
StackAI
Not documentedUnknown. No documented automatic retries, checkpointing, or replay of past executions with 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
StackAI
No proactive alerting documentedUnknown. No documented proactive failure or threshold alerting; only after-the-fact execution logs are available.
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.
StackAI
Unknown, not publicly documentedUnknown: StackAI does not document continuous export of execution, audit, or usage data to an external destination such as S3, BigQuery, Datadog, or a generic webhook sink. Only per-run API access and project export/import are documented.. Docs cover an API export view (calling a flow via POST) and project export/import, which are pull/one-shot mechanisms, not a continuous log-drain feature.
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.
StackAI
Partial: run status queryable later, no documented async APIPartial: StackAI's Analytics API can list and filter runs by ID and by status (including pending, paused, resumed, completed, failed, and cancelled) after the fact, which supports a trigger-then-check-later pattern. But StackAI's docs don't describe an official async-trigger-plus-poll workflow for actually running a flow, the way some platforms document a job-queue API.. The API used to run a flow only documents a request/response call that waits for the result, with no explicit async job or webhook pattern. The separate Analytics API exposes a run ID and status field, including a pending state, that can be queried after submission, showing a run's status can be checked later, though this is inferred from the analytics endpoint rather than a documented async execution feature.
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.
StackAI
500 runs/month on Free tier; no published timeout/concurrencyPartial: the only concrete published number is a usage quota, not a timeout or concurrency limit. The Free plan caps usage at 500 runs per month (2 projects, 1 seat), while Enterprise plans get custom or unlimited run allowances. No public documentation states a maximum single-execution duration or a cap on concurrent executions.. Neither the pricing page nor the API reference pages disclose a per-request timeout or a concurrent-execution cap. This is a gap in StackAI's public documentation, not a confirmed absence of limits.
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
StackAI
Yes: each node can have a 'Fallback Branch' (On Error) that, when enabled, lets the workflow keep going after that node fails instead of halting the whole run. It routes execution to an alternate path, such as returning a safe message, emitting a structured error, or notifying a human.. StackAI's documentation also describes a complementary 'Retry on Failure' setting (configurable max retries and retry interval) and an LLM Fallback Mode, and recommends layering them: retries first, then an LLM fallback, then the fallback branch.
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.
StackAI
Discord free, dedicated engineers on EnterpriseCommunity Discord (free tier); dedicated solution engineers / forward-deployed engineers (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
StackAI
Enterprise SLAs, terms undisclosedEnterprise plans include support SLAs; exact terms are not publicly documented
Community
Sim
100,000+ buildersOver 100,000 builders use Sim
StackAI
Discord, docs, and StackAI AcademyDiscord community, comprehensive docs, and a StackAI Academy with tutorials and courses
Academy / training
Sim
Yes: Sim Academy is a dedicated structured-learning section of the docs site, separate from reference documentation and the API reference
StackAI
Yes: StackAI runs a structured StackAI Academy with step-by-step lessons and courses covering platform overview, building workflows, knowledge bases, and agent building, plus a separate enterprise offering for AI-driven skills testing and certification.. Academy is lesson-based across multiple courses. Certification is a separate enterprise offering (skills testing and certification), not confirmed to be bundled into the core Academy itself.

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 StackAI limitations

Not open source

Closed-source SaaS with no auditable or forkable codebase.

StackAI is a proprietary, closed-source commercial SaaS platform. Its GitHub organization contains only auxiliary tools and integrations, not the core platform, so there is no self-hostable OSS codebase to audit or fork.

Free tier is very limited

Free plan caps at 500 runs, 2 projects, 1 seat.

The free plan caps usage at 500 runs/month, 2 projects, and 1 seat, with support limited to community Discord, well below what a team evaluating agent workflows at scale would need.

No published self-serve/mid-tier pricing

No mid-tier pricing. Only free or a custom Enterprise quote.

Beyond the free tier, StackAI publishes only a custom-quote Enterprise plan with no mid-market tier, so cost comparison requires contacting sales.

HIPAA/GDPR not documented on the Trust Center itself

HIPAA is audited but GDPR compliance is undocumented outside marketing pages.

The public Trust Center page lists only SOC 2 Type II and ISO 27001. A separate blog post confirms StackAI was also audited against HIPAA, but GDPR compliance appears only on marketing/pricing pages (e.g. "SOC 2, HIPAA & GDPR compliance" on the Enterprise tier), with no dedicated audit evidence.

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 StackAI if you specifically need agentic Development Life Cycle (dev/staging/production promotion): StackAI provides three default, isolated environments (development, staging, production), plus custom environments. Promotion between them is gated by pull requests, each environment can connect to its own data sources, and an admin approval queue sits before production deploys.

Frequently asked questions

Sim is an open-source AI workspace where teams build, deploy, and manage AI agents visually, conversationally, or with code. StackAI is a proprietary, enterprise-focused visual platform for building, deploying, and governing AI agents, connecting LLMs and business systems through a drag-and-drop, low-code node builder. 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.

Build your first agent today.