AACFlow vs. Gumloop
AACFlow ist der KI-Workspace, in dem Teams KI-Agenten visuell, im Dialog oder mit Code erstellen, bereitstellen und verwalten. So schneidet AACFlow im Vergleich zu Gumloop bei Plattformarchitektur, KI-Fähigkeiten, Integrationen, Preisen, Sicherheit und Support ab. Jeder Fakt unten ist belegt und datiert, zuletzt geprüft am .
AACFlow ist ein KI-Workspace zum Erstellen, Bereitstellen und Verwalten von KI-Agenten. Diese Seite vergleicht AACFlow mit Gumloop bei Plattformarchitektur, KI-Fähigkeiten, Integrationen, Preisen, Sicherheit und Compliance, Observability und Support – mit belegten, datierten Fakten für Entscheider, die beide Plattformen bewerten.
Was ist AACFlow?
AACFlow is the 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.
Was ist Gumloop?
Gumloop is a hosted, no-code visual platform for building and deploying AI agents and automations: a drag-and-drop canvas, an AI copilot ("Gen") for natural-language flow creation, and native MCP (Model Context Protocol) integration support.
AACFlow vs. Gumloop: Funktionsvergleich
Die folgenden Abschnitte vergleichen AACFlow und Gumloop bei Plattform und Bereitstellung, Preisen, Sicherheit und Compliance, KI-Fähigkeiten, Integrationen, Observability und Support.
Plattform und Bereitstellung
CompareAACFlow vs Gumloop
AACFlow
Gumloop
Builder-Typ
AACFlow
Visual canvas, chat, or code (Quelle: AACFlow Docs: Introduction (visual, natural-language, and API/SDK building), öffnet in neuem Tab)Visual drag-and-drop canvas, natural-language (Chat), or code (API/SDK)
Gumloop
Visual canvas plus Gummie AI copilot for building flows (Quelle: Gumloop homepage, öffnet in neuem Tab)Visual, no-code canvas builder with an AI copilot ('Gummie') that can generate/modify flows from natural-language prompts. Gumloop is a visual/no-code drag-and-drop canvas for chaining nodes (AI, integration, logic) into agent 'flows'; a chat-based AI agent named Gummie can build and edit these flows from plain-English instructions.
Lernkurve
AACFlow
Low, plus natural-language Chat for non-technical users (Quelle: AACFlow Docs: Introduction (visual, natural-language, and API/SDK building), öffnet in neuem Tab)Low for visual building; natural-language Chat surface (with a workflow-scoped Copilot) for non-technical builders. Chat lets users describe a workflow in plain language and have AACFlow scaffold or edit it; the visual canvas requires no code to connect blocks.
Gumloop
Easy for basics, steeper for code and multi-agent (Quelle: Gumloop homepage, öffnet in neuem Tab)Low for basic no-code flows aimed at non-technical business users; steeper for advanced use of custom Python code nodes and multi-agent orchestration
Bereitstellungsoptionen
AACFlow
Managed cloud, no single-tenant VPC option (Quelle: AACFlow Pricing Page, öffnet in neuem Tab)Cloud-hosted (managed, multi-tenant SaaS) operated by AACFlow. No documented managed single-tenant/VPC hosting tier. AACFlow is sold as a managed cloud service; there is no dedicated-instance/VPC offering.
Gumloop
Managed SaaS or enterprise VPC (Quelle: Gumloop Security & Trust, öffnet in neuem Tab)Managed SaaS (cloud) and enterprise VPC deployment into customer's own cloud region
Vorlagen
AACFlow
(Quelle: AACFlow codebase: templates gallery and APIs removed, öffnet in neuem Tab)No: the pre-built workflow template gallery (landing and in-workspace) was removed platform-wide. AACFlow now surfaces per-integration starter prompts instead of a template library.
Gumloop
(Quelle: Gumloop Community Templates, öffnet in neuem Tab)Yes: a public template gallery ('flows') plus an organization-templates feature for Team/Enterprise plans to share internal templates. Gumloop lists a community/creator template marketplace at gumloop.com/templates covering sales, marketing, HR, finance, data extraction, etc.
Übernahme zwischen Umgebungen
AACFlow
(Quelle: AACFlow Docs: Workspace Forks, öffnet in neuem Tab)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 the Enterprise plan.
Gumloop
(Quelle: Gumloop Docs: Organizations and Workspaces, öffnet in neuem Tab)No dedicated dev/staging/production promotion pipeline. Work is organized as Organization > Personal Space (private) plus Teams (shared, Pro plan and up), with a 'Move to Team' action to share a flow, not cross-workspace cloning.. Gumloop organizes work as Organization > Personal Space (private) or Team (a shared collaborative space, Pro plan and above), with no structured pipeline for promoting changes between dev, staging, and production. Moving a flow out of a personal space happens via a manual 'Move to Team' action. Version history is handled separately through single-workflow checkpoints (see versionControlDepth).
Versionskontrolle
AACFlow
Deployment rollback plus Copilot edit diff/revert (Quelle: AACFlow codebase: WorkflowDiffEngine, öffnet in neuem Tab)Deployed-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.
Gumloop
Checkpoint snapshots; no diff or branching (Quelle: Gumloop Docs: Workflow Checkpoints, öffnet in neuem Tab)Linear checkpoint snapshots with rollback; no diff view, no true undo/redo, no branching. Gumloop replaced a per-version system with a "checkpoints" model. Users manually create checkpoints (snapshots) before major changes, then can either "Make This Checkpoint Live" (switch triggers/interfaces to that checkpoint) or "Rollback to This Checkpoint" (duplicate a past snapshot into the current draft). Docs describe checkpoint metadata (number, date, author) but no diff/compare view between checkpoints, no session-level undo/redo, and a linear history with no branching. Gumloop compares it to Google Docs version history, not git-style branching.
Echtzeit-Zusammenarbeit
AACFlow
(Quelle: AACFlow codebase: realtime presence handler (cursor/selection broadcast), öffnet in neuem Tab)Yes: live multiplayer editing of the same workflow canvas, with real-time cursors, selection broadcasting, and synced concurrent edits over a dedicated realtime backend
Gumloop
(Quelle: Organization and Teams - Gumloop docs, öffnet in neuem Tab)No: Gumloop calls itself a "multiplayer AI agent builder" and lets Teams share ownership so multiple editors can work on the same flow or agent, but no public documentation confirms live, concurrent multi-user editing with synced cursors, selections, or operations on the same open canvas at the same moment.. "Multiplayer" refers to shared workspace/team access, not a documented live-cursor/synced-operation editing experience.
Nativer Dateispeicher
AACFlow
(Quelle: AACFlow codebase: file share modal (password/email/SSO modes), öffnet in neuem Tab)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.
Gumloop
(Quelle: Make shareable files with agents - Gumloop blog, öffnet in neuem Tab)Yes: Gumloop has a native files area (personal/team Files) where generated artifacts get a dedicated URL. Share access can be set to restricted, organization-wide, or public-link, and enterprise admins can block external sharing. Folder creation is also supported for connected Drive storage.. Public documentation does not confirm password/SSO-gated share links or a deleted-item recovery (trash/undelete) feature for this native file store.
Native Datentabellen
AACFlow
(Quelle: AACFlow Docs: Tables, öffnet in neuem Tab)Yes: a native spreadsheet-like Tables feature (typed columns, not an external DB connector) with full keyboard support (arrow keys, Tab, copy-paste bulk load, Cmd/Ctrl+Z undo) and atomic per-row writes from multiple workflows at once. No public fixed row-limit figure is documented (guidance says paginate reads past ~100k rows); a workflow can also be wired to run per row via a "workflow column."
Gumloop
(Quelle: Types - Gumloop docs, öffnet in neuem Tab)No: Gumloop has no native, first-class spreadsheet-like data-grid primitive with its own typed columns, row/column limits, and keyboard navigation (arrow keys, Tab, copy-paste, undo) wired directly into agent runs. Tabular work instead runs through external connector nodes (Google Sheets, Airtable, Postgres, Supabase) and a "List of Lists" data type for passing table-shaped data between nodes, not an in-app database/table object a workflow can read from and write to as storage.. Gumloop added "table support ... for better data visualization," per its changelog, which is a display/rendering feature for showing tabular data in the UI, not a persistent, spreadsheet-navigable data table entity a workflow can use as its own storage layer. This is a real capability gap versus a native, spreadsheet-like data-grid feature built into the product.
Rich-Text-Dokumenteditor
AACFlow
(Quelle: AACFlow codebase: rich markdown editor, öffnet in neuem Tab)Yes: markdown files opened in the Files viewer render in an inline WYSIWYG-style rich markdown editor, with inline @-mention links to other AACFlow resources
Gumloop
Unknown: no evidence found either wayUnknown: no public documentation describes an inline rich-text/WYSIWYG markdown editor for documents stored in Gumloop; searches surfaced only generic markdown-editor products unrelated to Gumloop.. Gumloop's platform is workflow/agent-centric with file and artifact nodes; docs, changelog, and blog surface no dedicated document WYSIWYG editor.
Sub-Workflows (Komposition)
AACFlow
(Quelle: AACFlow Docs: Workflow block, öffnet in neuem Tab)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.
Gumloop
(Quelle: Subflows - Gumloop docs, öffnet in neuem Tab)Yes: a dedicated 'Subflow' feature lets any saved workflow be dropped in as a reusable node inside another workflow, with Input/Output nodes to pass parameters in and return values out. Gumloop docs describe Subflows as workflows that 'show up in your node library just like native nodes' once built, so they can be dragged onto the canvas of any other flow, wired to Input nodes for parameters and Output nodes for return values. When a list is connected to a Subflow node it runs once per list item (Loop Mode) rather than a single time. Public docs do not explicitly state whether the parent execution blocks until the subflow completes, but since a Subflow is embedded as a node in the parent's directed graph, not invoked over a separate async webhook call, later nodes depending on its outputs wait for it to resolve.
Eigene Blöcke (organisationsweite Wiederverwendung)
AACFlow
(Quelle: AACFlow codebase: custom-blocks publish API (admin gate), öffnet in neuem Tab)Yes: a user with admin access on a workflow's workspace can publish its deployed version as a named, iconed custom block that appears in the block toolbar for the whole organization. Inputs are read live from the source workflow's Start block; the publisher picks which outputs to expose. The block always runs the source workflow's latest deployed version, and its internal steps and intermediate values are never exposed to consumers. Enterprise-gated. Distinct from the Workflow (sub-workflow) block, which composes a workflow the same author controls, and from custom code/tool blocks, which run inline code rather than a full deployed workflow.
Gumloop
(Quelle: Subflows - Gumloop docs, öffnet in neuem Tab)No: Gumloop has no feature that publishes an existing deployed workflow as an encapsulated, named block for the whole org to reuse. Subflows let a saved workflow be dropped into other flows as a node, but public docs describe this only as personal/same-project reuse, with no mention of hiding the subflow's internal steps or credentials, or of org-wide toolbar placement for other users. The one org-wide, block-like publishing surface Gumloop does have, the Custom Node Builder plus its "Node and Flow Library" Hub, is scoped to single AI-generated code nodes (wrapping an API or script), not a way to turn a multi-step visual workflow into a reusable block.. Gumloop's docs on Subflows describe only how to nest a saved workflow as a node with Input/Output nodes for parameters, with no documented mechanism for sharing that subflow node to other users, hiding its internal graph from them, or auto-propagating updates when the source workflow changes. Separately, docs.gumloop.com/core-concepts/node_and_flow_library confirms users can share a Custom Node organization-wide ('Share with Organization: Makes the node discoverable by all organization members'), appearing immediately in teammates' node libraries, but the page's substantive sections (Custom Nodes Tab, Sharing Custom Nodes, Publishing Custom Nodes) only ever cover single code-based nodes generated by the Custom Node Builder from a natural-language description, not multi-step canvas workflows. No Gumloop page describes converting an existing built flow into a shareable, encapsulated block the way a Custom Node is shared.
Preise
CompareAACFlow vs Gumloop
AACFlow
Gumloop
Preismodell
AACFlow
Credit-based billing, BYOK exempt from caps (Quelle: AACFlow Pricing, öffnet in neuem Tab)Credit-based usage billing (Stripe), with bring-your-own-key exemption from metered caps
Gumloop
Credit-based usage across tiered plans (Quelle: Gumloop Pricing, öffnet in neuem Tab)Usage-based monthly credit system (credits consumed per task/run), with tiered monthly credit allotments from 5k (free) up to 1.5M+ on paid tiers, plus seat-based distinctions between Free/Pro/Enterprise
Günstigster kostenpflichtiger Tarif
AACFlow
Pro plan at $25/user/month (Quelle: AACFlow Pricing, öffnet in neuem Tab)Pro: $25 per user/month
Gumloop
$37/month Pro plan, 20k+ credits (Quelle: Gumloop Pricing, öffnet in neuem Tab)Pro plan at $37/month for 20k+ credits. Includes unlimited seats/teams, 5 concurrent runs, 25 concurrent agent interactions, agent reflections, unified billing, and 1 hosted MCP server instance. Gumloop's pricing page lists 'MCP Server Hosting (1)' under the Pro plan without clarifying its scope: it is not stated whether this cap limits access to the 100+ pre-built, zero-setup MCP servers described on gumloop.com/mcp, or only applies to a separate custom MCP server that Gumloop hosts on a customer's behalf. That distinction is not resolved anywhere on Gumloop's own pricing or MCP pages.
Kostenloser Tarif
AACFlow
(Quelle: AACFlow Pricing, öffnet in neuem Tab)No free tier: usage is paid for with prepaid wallet credits or a paid plan
Gumloop
(Quelle: Gumloop Pricing, öffnet in neuem Tab)Yes: Free plan with 5,000 credits/month, 1 seat, 1 active trigger, 2 concurrent runs, 5 concurrent agent interactions, unlimited agents/flows, forum-only support
Eigener Schlüssel (BYOK)
AACFlow
(Quelle: AACFlow Docs: Bring Your Own Key (BYOK), öffnet in neuem Tab)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
Gumloop
(Quelle: Gumloop Pricing, öffnet in neuem Tab)Yes: Bring Your Own API Keys is supported across all plans
Sicherheit und Compliance
CompareAACFlow vs Gumloop
AACFlow
Gumloop
SOC 2
AACFlow
(Quelle: AACFlow Landing Page, öffnet in neuem Tab)No third-party SOC 2 report is claimed
Gumloop
SOC 2 Type II, HIPAA, GDPR-aligned (Quelle: Gumloop Security & Trust, öffnet in neuem Tab)SOC 2 Type II attested; also HIPAA-compliant with BAAs available on eligible plans, and GDPR-aligned with EU-U.S. Data Privacy Framework (incl. UK Extension) certification
Datenspeicherort
AACFlow
Cloud region toggle is global, not per-customer (Quelle: AACFlow codebase: async job region resolution, öffnet in neuem Tab)On AACFlow Cloud, async job execution has an internal US/EU region toggle, but it is deployment-wide, not a customer-selectable per-workspace residency option
Gumloop
VPC deployment plus zero data retention (Quelle: Gumloop Security & Trust, öffnet in neuem Tab)Enterprise VPC deployment into a customer-controlled cloud region provides data residency/control; zero data retention (ZDR) agreements are in place with major LLM providers
Rollenbasierte Zugriffskontrolle
AACFlow
(Quelle: AACFlow Docs: Roles and Permissions, öffnet in neuem Tab)Yes: admin/write/read workspace permissions, org-level admin/member roles, plus Enterprise-tier permission groups that allow/deny-list specific models, tools, and integrations per group on top of those base roles. See modelAndToolGovernance and credentialGovernance for the finer-grained permission-groups layer.
Gumloop
(Quelle: Gumloop Security & Trust, öffnet in neuem Tab)Yes: role- and attribute-based access control (RBAC/ABAC) for agents/tools with per-tool authorization policies, plus SSO/SCIM on enterprise plans
Audit-Protokollierung
AACFlow
(Quelle: AACFlow codebase: auditLog table, öffnet in neuem Tab)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
Gumloop
(Quelle: Gumloop docs: Audit Logging, öffnet in neuem Tab)Yes: audit logs available, documented as an enterprise feature
Zusätzliche Compliance
AACFlow
None claimed (Quelle: AACFlow Enterprise Page, öffnet in neuem Tab)None claimed. No additional third-party certification is claimed.
Gumloop
SOC 2, HIPAA, GDPR; no ISO/PCI/FedRAMP (Quelle: Gumloop: Security and trust, öffnet in neuem Tab)SOC 2 Type II, HIPAA (with BAAs), GDPR-aligned program plus EU-U.S. Data Privacy Framework (incl. UK Extension); no ISO 27001, PCI, or FedRAMP. Gumloop is SOC 2 Type II attested, is HIPAA compliant with Business Associate Agreements (BAAs) available on eligible plans, maintains a GDPR-aligned privacy program, and is certified under the EU-U.S. Data Privacy Framework including the UK Extension. It also has zero-data-retention (ZDR) agreements with major LLM providers, BYOK support, encryption in transit and at rest, and DPAs for Enterprise customers, but no ISO 27001, PCI DSS, or FedRAMP.
Modell- und Tool-Governance
AACFlow
(Quelle: AACFlow codebase: PermissionGroupConfig (allowedModelProviders, deniedModels, deniedTools), öffnet in neuem Tab)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. AACFlow 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 AACFlow itself keeps execution logs.
Gumloop
(Quelle: Gumloop Docs: AI Model Control, öffnet in neuem Tab)Yes for models: an org-wide AI Model Control setting lets admins restrict members to an allow-list or block-list of models, set automatic fallback models (including a separate fallback for image generation), and override the default Recommended/Smartest/Fastest presets so all agents use consistent model choices. Tool governance is handled separately via the per-tool authorization policies covered under RBAC/ABAC, not a distinct model-and-tool control surface.. Gumloop's docs describe AI Model Control as an Enterprise admin feature applying platform-wide to every member ('Allow Only Selected' or 'Block Selected' modes), not scoped per-team or per-agent. It covers only which LLMs are usable and their fallback/preset routing; it makes no mention of restricting access to non-model tools, which is instead covered by the RBAC/ABAC per-tool authorization policies documented separately.
Governance für Anmeldedaten
AACFlow
(Quelle: AACFlow Docs: Roles and Permissions, öffnet in neuem Tab)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.
Gumloop
(Quelle: Custom User Roles - Gumloop docs, öffnet in neuem Tab)No: Gumloop's Custom User Roles restrict access at the level of apps, tools, OAuth scopes, workflow nodes, and features (e.g. team creation, public sharing), plus usage caps, but not which specific stored credential or connection a role may use. The one related feature, "Agent-Owned Credentials," pins a single connection for everyone using an agent, which operates at the agent level, not the role or permission-group level.. Multi-role composition uses a union (least-restrictive) model for app access, the opposite of fine-grained per-credential allow/deny.
Single Sign-on (SSO)
AACFlow
(Quelle: AACFlow Docs: Single Sign-On (SSO), öffnet in neuem Tab)Yes: SAML 2.0 and OIDC single sign-on, with users routed to SSO by their email domain, plus SCIM 2.0 directory provisioning for Okta, Microsoft Entra ID, OneLogin, and JumpCloud that creates, updates, deactivates, and removes members and maps pushed groups to permission groups, workspace access, and the organization admin role
Gumloop
(Quelle: SSO, SAML & SCIM - Gumloop docs, öffnet in neuem Tab)Yes: Gumloop supports enterprise SSO via SAML 2.0 (Okta, Entra ID, Google Workspace, JumpCloud, Ping Identity, Active Directory) plus Google/Microsoft OAuth. An SCIM add-on for Okta and Microsoft Entra ID auto-provisions and deprovisions users, syncs custom roles and teams from IdP groups, and runs on a 15-minute sync cycle.. Requires Admin role and an Enterprise subscription; enforces SP-initiated login only.
Individuelle Sitzungsrichtlinie
AACFlow
(Quelle: AACFlow Docs: Session Policies, öffnet in neuem Tab)Yes: Enterprise organization owners and admins can set a max session lifetime (1 to 8,760 hours from sign-in, regardless of activity) and an idle timeout (48 to 8,760 hours without activity), applied to every member on every device. Both limits are optional; leaving them empty keeps the default of 30-day sessions that extend automatically while a member stays active. A separate "Sign out all members" action immediately revokes every member session in the organization except the admin's own, for use after a security incident or an offboarding wave. The 48-hour idle floor exists because session activity is recorded at most once per day, so a shorter window could sign out members who are actively working.
Gumloop
Single SSO-page bullet cites configurable timeouts; no setting documented (Quelle: SSO, SAML & SCIM - Gumloop docs, öffnet in neuem Tab)Not publicly documented: no admin-configurable session lifetime or idle timeout appears in Gumloop's public documentation. The only primary-source statement is a single bullet on the Enterprise SSO page listing "Session Management: Configurable session timeouts and secure token handling." No admin setting name, configuration steps, default session lifetime, idle-timeout value, or absolute-cap value is published anywhere in Gumloop's docs, security page, or trust center.. The bullet sits in a Security & Compliance list introduced as "Gumloop's SSO implementation follows industry security standards", alongside SOC 2 Type II certification, SAML 2.0 and TLS 1.3 entries that are compliance assurances rather than admin-configurable settings, so it does not establish a customer-facing control. The same page documents its actual admin controls in detail, including per-direction SCIM mapping-table toggles, name-based mapping mode, and named audit events, but describes no session setting; it gates SAML and SCIM settings to the Admin organization role and an Enterprise subscription, so any such control would be Enterprise-tier. Gumloop's public security page and trust center make no mention of session lifetime, idle timeout, or forced re-authentication. Because SAML SSO is available, organizations can also inherit re-authentication frequency from their upstream IdP, but that is the IdP's policy rather than a Gumloop-enforced one.
Geprüfte native Integrationen
AACFlow
(Quelle: AACFlow codebase: first-party block directory, öffnet in neuem Tab)Yes: every one of AACFlow's 266 blocks is first-party authored and code-reviewed through the standard pull-request process in the main AACFlow repository; there is no public marketplace where an arbitrary third party can publish and have other users install executable tool code without going through AACFlow's own review. Custom code steps run inside AACFlow's own isolated-vm sandbox rather than as an installable third-party skill package, so the supply-chain trust boundary is AACFlow's codebase review, not an open registry.
Gumloop
(Quelle: Custom Node Builder - Gumloop docs, öffnet in neuem Tab)Yes: Gumloop's 100+ built-in integrations are first-party nodes authored and maintained by Gumloop. Custom Nodes (user-written code steps) are built privately per account or team and shared only with named teammates or an org/link, not published to a public, searchable registry of third-party installable nodes. The separate Community Templates gallery is workflow templates built from Gumloop's own nodes, and submissions go through a Gumloop content-quality review before listing.. No public marketplace exists where an unaffiliated third-party developer publishes a Custom Node for arbitrary other users to discover and install, unlike an open community-node ecosystem. No documented security incidents involving Gumloop's Custom Nodes or Community Templates appear in public sources.
Schwärzung personenbezogener Daten (PII)
AACFlow
(Quelle: AACFlow Docs: Guardrails Block, öffnet in neuem Tab)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
Gumloop
(Quelle: Security and trust at Gumloop, öffnet in neuem Tab)No: no Gumloop documentation, blog post, or security page describes a feature that detects and redacts or blocks PII (emails, SSNs, etc.) in workflow content or retained logs.. Gumloop's security page covers encryption, RBAC/ABAC, and audit traceability, but not PII detection or redaction.
Individuelle Datenaufbewahrung
AACFlow
(Quelle: AACFlow Docs: Data Retention, öffnet in neuem Tab)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
Gumloop
(Quelle: Security and trust at Gumloop, öffnet in neuem Tab)Yes: Gumloop's Enterprise plan includes custom data retention rules and an "Incognito Mode" for ephemeral runs with no history retention for legal/compliance-sensitive flows, alongside audit logs retained per custom policy.. Exact configurable windows (e.g. specific day counts) are not published publicly; the capability itself is confirmed as an Enterprise-tier feature.
White-Labeling
AACFlow
(Quelle: AACFlow Docs: Whitelabeling, öffnet in neuem Tab)Yes: Enterprise orgs can replace the logo, wordmark, brand name, and primary/accent theme colors across the workspace UI with their own
Gumloop
(Quelle: Custom Slack App Integration - Gumloop docs, öffnet in neuem Tab)No: Gumloop offers only partial branding controls. A custom Slack app lets an agent appear under the customer's own bot name/avatar, and a dedicated org-specific login page is available at gumloop.com/{your-org}, but the platform's logo, product name, and theme colors are not fully replaceable across the workspace/builder and deployed-app UI.. The core canvas/builder UI itself has no comprehensive white-labeling.
KI-Fähigkeiten
CompareAACFlow vs Gumloop
AACFlow
Gumloop
Multi-LLM-Unterstützung
AACFlow
21 providers plus dynamic-resolution aggregators (OpenRouter, LiteLLM, etc.) (Quelle: AACFlow codebase: PROVIDER_DEFINITIONS, öffnet in neuem Tab)21 provider integrations (OpenAI, Anthropic, Google/Gemini, Azure OpenAI, Azure Anthropic, Groq, Cerebras, Mistral, xAI, Bedrock, Vertex, Ollama, OpenRouter, and more), with OpenRouter, LiteLLM, vLLM, and Ollama resolving models dynamically at runtime rather than from a fixed list, so effective model reach extends well beyond the 21 named providers. apps/sim/providers/models.ts defines 21 provider entries.
Gumloop
Claude, OpenAI, Gemini, DeepSeek (Quelle: Gumloop homepage, öffnet in neuem Tab)Multiple LLM providers without lock-in: Anthropic (Claude), OpenAI, Google (Gemini), and DeepSeek are named
Agent-Reasoning-Blöcke
AACFlow
(Quelle: AACFlow codebase: block registry, öffnet in neuem Tab)Yes: dedicated agent, function-calling, RAG, code-execution, and evaluation blocks, not just data routing
Gumloop
(Quelle: Gumloop docs: Agents, öffnet in neuem Tab)Yes: dedicated 'Ask AI'/Agent nodes and multi-agent orchestration on the canvas, distinct from plain data-routing nodes. Docs and third-party write-ups describe an 'Ask AI' node for LLM reasoning plus an Agent Node for autonomous/agentic behavior with reflections and tool-use, beyond simple integration/data nodes.
Erstellung in natürlicher Sprache
AACFlow
(Quelle: AACFlow Docs: Copilot, öffnet in neuem Tab)Yes: Chat + in-editor AI Copilot can build and modify workflows from natural-language requests
Gumloop
(Quelle: Gumloop blog: agentic AI tools, öffnet in neuem Tab)Yes: an AI copilot named 'Gummie' builds/edits flows from natural-language descriptions
Wissensdatenbank / RAG
AACFlow
(Quelle: AACFlow codebase: KB schema (pgvector + tsvector), öffnet in neuem Tab)Yes: hybrid vector (pgvector) plus full-text (tsvector) search knowledge base, 11 supported file formats (csv, doc, docx, html, json, md, pdf, pptx, txt, xlsx, yaml), configurable chunking, plus 51 connectors that continuously sync external sources (Google Drive, Confluence, Slack, Gmail, GitHub, HubSpot, Linear, Jira, and more) into the knowledge base rather than a one-shot upload
Gumloop
Not documented as a built-in featureUnknown. No built-in vector-search or RAG knowledge-base feature is documented in Gumloop's official docs; only a community forum thread references building a custom knowledge base out of Gumloop nodes.
MCP-Unterstützung
AACFlow
(Quelle: AACFlow Docs: Using MCP Tools, öffnet in neuem Tab)Yes: both MCP client (call external MCP servers) and MCP server (expose AACFlow workflows as MCP tools)
Gumloop
(Quelle: Gumloop: Fully Hosted MCP Servers, öffnet in neuem Tab)Yes: native MCP client/server support with 250+ pre-built hosted MCP servers plus custom MCP server connections. Gumloop can connect to any MCP server (custom URL over HTTPS), offers 250+ fully-hosted MCP servers with zero setup, and supports both 'native MCP' (model connects directly) and a 'backend connector' mode (Gumloop executes tool calls).
Evaluierung und Guardrails
AACFlow
LLM-judge Evaluator plus Guardrails validation block (Quelle: AACFlow Docs: Evaluator Block, öffnet in neuem Tab)Evaluator 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.
Gumloop
(Quelle: Gumloop Changelog, öffnet in neuem Tab)Yes: agent chat evaluation alerts, test-case/grading tools to catch regressions, per-node test runs, and plain-English guardrail policies with human-in-the-loop approval. Product surfaces let teams define test cases and grade agent responses to catch regressions, test individual nodes with fake inputs from the canvas, set org/team/agent-level guardrail policies in plain English that can block/tag actions and log violations, and require human approval mid-task for sensitive actions.
Human-in-the-Loop
AACFlow
(Quelle: AACFlow Docs: Human in the Loop Block, öffnet in neuem Tab)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
Gumloop
(Quelle: Gumloop Docs: Agents, öffnet in neuem Tab)Yes: dedicated approval-card pause/resume, distinct from a delay step. Gumloop Agents support a Tool Management setting ("Ask for writes/deletes" or "Ask each time") that pauses the agent mid-task before it calls a sensitive tool. The approver is notified via an in-context "approval card" shown in the agent chat (available in agent chats and Slack). Once the human approves or rejects, the agent resumes exactly where it left off. Agents can also pause to ask a clarifying question with selectable options, not just approve or deny.
Generative Medien
AACFlow
(Quelle: AACFlow codebase: Image Generator V2, öffnet in neuem Tab)Yes: dedicated image (3 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
Gumloop
Image generation node; no video or audio node (Quelle: Gumloop Docs: Generate Image node, öffnet in neuem Tab)Generate Image node supporting 6 models (GPT-Image, DALL-E 3, DALL-E 2, Gemini 3.1 Flash, Gemini 3 Pro, Gemini 2.5 Flash), with 1-10 variations per prompt. No dedicated video or audio (TTS/STT) generation node is documented.. Separately, an Enterprise-level admin control lets org admins allow or deny specific AI models platform-wide and set automatic fallback models. This is a general model-governance setting, not specific to image generation.
Dynamische Tool-Nutzung
AACFlow
(Quelle: AACFlow codebase: agent tool resolution (pre-wired only), öffnet in neuem Tab)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.
Gumloop
Not publicly documentedUnknown. Not documented in Gumloop's public materials.
Automatischer Modell-Fallback
AACFlow
(Quelle: AACFlow codebase: executeProviderRequest (no retry/fallback), öffnet in neuem Tab)No: a failed or rate-limited LLM call is retried using AACFlow'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 AACFlow's own hosted API keys for the same model, not switching models.
Gumloop
Not documented outside image generationUnknown. Not documented outside the model allow/deny and fallback controls described for image generation (see generativeMedia).
Agent-Skills
AACFlow
(Quelle: AACFlow Docs: Agent skills, öffnet in neuem Tab)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.
Gumloop
(Quelle: Agent Skills - Gumloop docs, öffnet in neuem Tab)Yes: Gumloop has a dedicated "Skills" system where a skill is a reusable folder of instructions, templates, and scripts that teaches an agent how to do a specific task. The general agent discovers skills dynamically via semantic search, and custom agents can have specific skills explicitly attached.. Described in Gumloop's own docs as "a living knowledge base" distinct from a one-off system prompt; agents can even edit/create skills themselves if that toggle is enabled.
Native Chat-Bereitstellung
AACFlow
(Quelle: AACFlow Docs: Chat Deployment, öffnet in neuem Tab)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
Gumloop
(Quelle: Agents - Gumloop docs, öffnet in neuem Tab)Yes: Gumloop agents can be deployed via a public or private hosted chat page, in addition to Slack, Microsoft Teams, and an inbox channel. A conversational chat surface is a native, publicly deployable target, not just a form, API, or webhook.
Parallele Ausführung
AACFlow
(Quelle: AACFlow Docs: Parallel block, öffnet in neuem Tab)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.
Gumloop
Partial: concurrent list-item processing (Loop Mode), no branch fan-out/fan-in node (Quelle: Loop Mode - Gumloop docs, öffnet in neuem Tab)Partial: Loop Mode runs multiple list items concurrently (up to 15 at once on the Pro plan), but there is no documented dedicated node for splitting a single run into distinct parallel branches that later join, comparable to a fan-out/fan-in construct. Gumloop docs describe Loop Mode as processing list items simultaneously rather than one at a time, with concurrency limits tied to plan tier (2 concurrent items on Free, 15 on Pro). This is data-parallelism over a list, not branch-level fan-out/fan-in across different paths of logic.
Agent2Agent-Protokoll (A2A)
AACFlow
(Quelle: AACFlow Docs: A2A integration, öffnet in neuem Tab)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
Gumloop
(Quelle: Gumloop Changelog, öffnet in neuem Tab)No: no public documentation of Agent2Agent (A2A) protocol support was found on Gumloop docs, blog, or changelog. Gumloop documents MCP client/server support (hosted MCP servers, MCP nodes) but has no mention of the A2A open standard, Agent Cards, or peer-to-peer agent discovery/invocation.
Schleifen-/Iterationsblock
AACFlow
(Quelle: AACFlow Docs: Loop block, öffnet in neuem Tab)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
Gumloop
Partial: manually-enabled Loop Mode is concurrent, not a sequential loop node (Quelle: Loop Mode - Gumloop docs, öffnet in neuem Tab)Partial: Gumloop's only documented iteration primitive is 'Loop Mode', the same mechanism covered under parallelExecution, which a user manually enables on a node so it runs once per item in a connected list. Per Gumloop's docs this is concurrent (2 items at once on Free, 15 on Pro), not a strictly one-at-a-time sequential container, and no separate while-loop or fixed-iteration-count node is documented, only manually-enabled iteration over an existing list.. Gumloop docs describe Loop Mode as a mode a user enables on a node ('When you enable Loop Mode on a node...'), which then processes multiple list items simultaneously with concurrency capped by plan tier, distinct from a classic for-each node that guarantees one iteration finishes before the next starts. No dedicated while-loop (condition-based) or fixed-count repeat node is documented; all iteration requires manually enabling Loop Mode with a list as input.
Integrationen
CompareAACFlow vs Gumloop
AACFlow
Gumloop
Integrationen
AACFlow
1,000+ integrations (266 blocks, ~3,900 tool actions) (Quelle: AACFlow codebase: BLOCK_REGISTRY, öffnet in neuem Tab)1,000+ integrations counting individual API actions, built from 266 first-party blocks and roughly 3,900 underlying tool actions. AACFlow's landing page cites the "1,000+ integrations" figure; the block/tool-action counts are the same integration surface measured at a different level of granularity.
Gumloop
100+ nodes/integrations, 250+ MCP servers (vendor figures vary) (Quelle: Getting Started - Gumloop docs, öffnet in neuem Tab)Vendor-claimed figures vary by page: 100+ pre-built nodes and integrations (per docs.gumloop.com), 250+ hosted MCP servers (per gumloop.com/mcp). No single authoritative exact count is published on a primary Gumloop page. docs.gumloop.com's introduction cites '100+ pre-built nodes and integrations' while gumloop.com/mcp separately cites '250+ MCP servers, zero setup'; the two pages do not cross-reference each other, and the dedicated /integrations directory page returns a 404.
Trigger-Typen
AACFlow
Webhook, cron, chat, REST API, 61 app triggers, plus a diff-aware Tables trigger (Quelle: AACFlow Docs: Triggers overview, öffnet in neuem Tab)Webhook, schedule/cron, chat, REST API, and event-based triggers for 61 apps (Slack, Gmail, GitHub, Stripe, etc.), plus a native row-level trigger on AACFlow Tables that fires on insert/update with an optional column watch-list and emits a before/after diff
Gumloop
Schedule, webhook, API, and chat triggers (Quelle: Gumloop docs: Workflow Triggers, öffnet in neuem Tab)Schedule (daily/weekly/custom), webhook, and API-triggered runs are documented; chat-based triggering (e.g. via Slack) is also supported
Eigene Code-Schritte
AACFlow
(Quelle: AACFlow Docs: Function block, öffnet in neuem Tab)Yes: code-execution block for custom logic
Gumloop
(Quelle: Gumloop docs, öffnet in neuem Tab)Yes: a 'run code' / custom code node lets advanced users drop in Python when visual nodes aren't sufficient
Konfigurierbare Code-Sandboxes
AACFlow
(Quelle: AACFlow Docs: Function block - Sandboxes, öffnet in neuem Tab)Yes: named sandboxes a workspace maintains and a Function block selects, each declaring a language, its pip or npm dependencies, optional Debian/APT system packages, and optional managed CLI tools from a catalog grouped by cloud, Kubernetes, infrastructure, deployment, data and storage, and security tools; on aacflow.io they require an active Max or Enterprise plan. Only workspace admins can create or edit sandboxes, in Settings → Sandboxes. On aacflow.io each specification is prebuilt into a reusable image so runs pay no install cost. Two sandboxes with the same language, dependency list, system packages, and managed CLI tools share one build. Every managed CLI entry uses a pinned, integrity-checked vendor artifact. With no sandbox selected, remote code runs on the dedicated Function base; import-free JavaScript stays in the local isolated runtime and ignores the sandbox selection either way.
Gumloop
(Quelle: Run Code - Gumloop docs, öffnet in neuem Tab)No: the Run Code node executes against a fixed, Gumloop-controlled runtime. Users import from a vendor-curated preinstalled list (Python: pandas, numpy, scipy, xarray, opencv-python, scikit-image, scikit-learn, nltk, spacy, beautifulsoup4, requests, aiohttp, matplotlib, plotly, openpyxl, python-docx, librosa and others published at a Gumloop-hosted requirements.txt; JavaScript: the `ai` SDK plus @ai-sdk/openai, azure, anthropic, amazon-bedrock, google, google-vertex, mistral, cohere and groq). There is no documented way to declare npm/PyPI dependencies, install OS-level system packages, or specify CLI binaries for the runtime.. Gumloop docs describe importing packages only via a plain `import` (Python) or `require` (JavaScript) statement drawn from the published list, with no pip/npm install step. Custom Nodes run in what the docs call "an isolated virtual environment with a 5-minute runtime limit" but likewise document no dependency declaration. On the Gumloop forum, a staff member responding to a Run Code failure caused by unavailable libraries pointed the user back to the published list and suggested a Custom Node as a workaround rather than any package-installation path. Gumloop also ships no downloadable self-managed install of the core platform, and its enterprise VPC deployment is operated by Gumloop, so no customer-supplied runtime image is documented there either.
API-Veröffentlichung
AACFlow
(Quelle: AACFlow Docs: API Reference - Getting Started, öffnet in neuem Tab)Yes: a public REST API (mostly under /api/, with /api/v1 reserved for logs and audit-log endpoints) supporting API-triggered workflow execution and deployment rollback. The API reference does not document SSE streaming, a resumable event buffer, a dedicated API-trigger block, or a chat-deployment surface as part of the REST API itself.
Gumloop
(Quelle: Gumloop docs: JavaScript SDK, öffnet in neuem Tab)Yes: flows can be triggered via REST API and a JavaScript SDK; agents embedded in a flow can be called via the same API. Execution is asynchronous: start a flow run via API/SDK, then poll a run-by-ID endpoint for status and structured outputs.
SDKs und Erweiterbarkeit
AACFlow
Official Python and TypeScript SDKs, plus MCP, code block, and A2A protocol (Quelle: AACFlow Docs: Python SDK, öffnet in neuem Tab)Official client SDKs exist for Python (aacflow-sdk, pip install aacflow-sdk) and TypeScript/JavaScript (aacflow-sdk, npm install aacflow-sdk), both wrapping the REST API (x-api-key header) with methods like execute_workflow / executeWorkflow, retry-with-backoff, and usage-limit lookups. Extensibility is further extended by MCP (client + server), a sandboxed code-execution block (JS/Python), custom tools, and an Agent-to-Agent (A2A) protocol block for external agent interop
Gumloop
JS/Python SDKs plus AI custom node builder (Quelle: Gumloop Docs: JavaScript SDK, öffnet in neuem Tab)Official JS/TypeScript and Python SDKs, plus an in-product AI-assisted Custom Node Builder; no public third-party marketplace yet. Gumloop publishes official client SDKs for JavaScript/TypeScript (`npm install gumloop`, GumloopClient, github.com/gumloop/gumloop-js) and Python (github.com/gumloop/gumloop-py) for starting automations and retrieving outputs programmatically. Separately, the in-app "Custom Node Builder" lets users describe desired functionality in natural language and have AI generate a deployable custom node that integrates with any API, shareable with teammates (editor access) within a workspace. A public node-selling marketplace and "official Gumloop integrations built as custom nodes" are a stated future direction, not a shipped marketplace today.
Als MCP-Server veröffentlichen
AACFlow
(Quelle: AACFlow Docs: MCP Deployment, öffnet in neuem Tab)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 Codex, Cursor, Claude Code, Claude Desktop, and VS Code
Gumloop
(Quelle: Fully Hosted MCP Servers for Your AI Agents - Gumloop, öffnet in neuem Tab)No: Gumloop's MCP capability mainly runs in the consuming direction. It connects agents/workflows to 250+ fully hosted MCP servers and lets users add custom MCP servers as tool sources. No official Gumloop documentation describes publishing a user's deployed workflow itself as a callable MCP server for external AI tools to consume.. A third-party, unofficial open-source project ("gumloop-mcp" on GitHub) wraps the Gumloop management API as an MCP server, but that is not the same as natively publishing a specific deployed workflow as an MCP tool, and it is not an official Gumloop product.
Observability und Ausfallsicherheit
CompareAACFlow vs Gumloop
AACFlow
Gumloop
Tracing und Observability
AACFlow
(Quelle: AACFlow codebase: TraceSpan tree builder, öffnet in neuem Tab)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 AACFlow 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.
Gumloop
Per-node run trace; no aggregate metrics dashboard (Quelle: Gumloop Docs: Run Log, öffnet in neuem Tab)Customer-facing per-node execution trace with duration/cost, but no aggregate metrics dashboard (percentiles/error-rate) found. Gumloop's "Run Log" is a customer-facing execution trace view. For every run it shows per-node execution status, inputs/outputs, per-node execution time and credit cost, a subflow detail drill-down, and per-iteration visibility for Loop Mode nodes, plus a workflow summary of total time and total credits, accessible via a `run_id`-scoped URL. No cross-run metrics dashboard (e.g. latency percentiles or aggregate error rates across many runs) is documented. The Run Log is built for debugging one execution at a time, not fleet-wide observability.
Ausfallsicherheit und Wiederholungen
AACFlow
Tool-call retries (up to 10x); single-attempt job orchestration (Quelle: AACFlow codebase: ToolRetryConfig (exponential backoff), öffnet in neuem Tab)Individual 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. AACFlow 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.
Gumloop
(Quelle: Gumloop Docs: Run Log, öffnet in neuem Tab)No automatic retries, no execution checkpointing, no run replay with original inputs. Only a manual "Error Shield" node and workflow-level (not run-level) checkpoints. Gumloop's Run Log documentation makes no mention of automatic node retries, mid-run checkpointing of execution state, or the ability to replay a past execution with its original inputs. Failure handling is opt-in and manual via an "Error Shield" node that wraps other nodes to catch errors and prevent a full workflow crash, something designed into the workflow rather than automatic infrastructure-level retry/replay. Gumloop's "checkpoints" feature (see platform.versionControlDepth) snapshots workflow definitions, not individual run state, so it is unrelated to run durability.
Fehlerbenachrichtigung
AACFlow
(Quelle: AACFlow Docs: AACFlow Workspace Events trigger, öffnet in neuem Tab)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
Gumloop
(Quelle: Gumloop Docs: Alerts, öffnet in neuem Tab)Yes: proactive email push notification on workflow failure (Pro plan+); credit-usage thresholds are separate/lookup-based. Gumloop supports configuring email notifications for workflow failures directly from a workbook's side panel. This requires a Pro plan or higher and can be scoped to "Alert only on trigger-based failures" so manual test runs don't spam alerts. The failure email includes the workflow name, a run link, and error details, a proactive push rather than something you look up after the fact. Credit/cost-threshold notifications are configured separately on the Subscription page and read more like a lookup setting than a proactive per-threshold push alert.
Data Drains
AACFlow
(Quelle: AACFlow Docs: Data Drains, öffnet in neuem Tab)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.
Gumloop
(Quelle: Usage Data Export / Data Drains - Gumloop docs, öffnet in neuem Tab)Yes: Gumloop's Enterprise "Data Drains" feature continuously pushes organization data (workflow runs, agents, agent interactions, credit logs, audit logs, and MCP tool calls) to an external destination: an HTTP/OTLP custom endpoint, Amazon S3, or Datadog. It polls every 15 seconds to 10 minutes and tracks sync state to avoid duplicates, in addition to one-time CSV exports.. This is a distinct Enterprise capability separate from one-time snapshot exports.
Asynchrone Ausführung
AACFlow
(Quelle: AACFlow codebase: async execution handler, öffnet in neuem Tab)Yes: a workflow can be triggered in fire-and-forget async mode, returning HTTP 202 with an execution ID immediately, then polled through the canonical execution resource across queued/running/terminal states. Async runs are tracked by execution ID through the same execution status endpoint used for durable logs rather than a separate queue-job resource.
Gumloop
(Quelle: Gumloop API Reference: Getting Started, öffnet in neuem Tab)Yes: Gumloop's API triggers workflows asynchronously. A POST to the start_pipeline endpoint returns immediately with a run_id, and the caller polls a separate get_pl_run endpoint (passing that run_id) to check status, logs, and retrieve outputs once the run completes.. Documented pattern: POST https://api.gumloop.com/api/v1/start_pipeline to start, GET https://api.gumloop.com/api/v1/get_pl_run?run_id=... to poll for completion and outputs.
Ausführungslimits
AACFlow
5-50 min sync; async defaults to 90 min, Enterprise up to 7 days (Quelle: AACFlow Docs: Concurrent Executions, öffnet in neuem Tab)Plan-gated: synchronous runs time out at 5 minutes on accounts without a plan and 50 minutes on paid plans; async runs default to 90 minutes, while Enterprise policy can be configured up to 7 days; concurrency ranges from 10 to 1,000 executions per billing account depending on plan. A direct async API request can shorten the account policy for that request, but cannot extend it. Concurrency limits are published in the platform cost docs, where the Enterprise limit is 1,000 by default and customizable. A run that exceeds its time limit is terminated and marked failed with a timeout error.
Gumloop
2-5 concurrent runs by plan; no published timeout (Quelle: Gumloop Pricing (concurrent runs / agent interactions by plan), öffnet in neuem Tab)Gumloop publishes concurrency limits by plan on its pricing page: Free allows 2 concurrent runs and 5 concurrent agent interactions, Pro allows 5 concurrent runs and 25 concurrent agent interactions, and Enterprise has custom, unpublished limits. Gumloop does not publicly document a maximum execution duration or per-request timeout for a single workflow run.. Numbers taken directly from the pricing page comparison table. No max single-execution runtime or timeout figure is published in Gumloop's docs, forum, or pricing page.
Behandlung von Teilausfällen
AACFlow
(Quelle: AACFlow codebase: error-output edge routing, öffnet in neuem Tab)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
Gumloop
(Quelle: Gumloop Docs: Error Shield node, öffnet in neuem Tab)Yes: Gumloop offers an Error Shield node that wraps another node, catching its failure and routing execution down a separate Error Path while a Success Path carries forward normal results. This means a single failing step does not have to halt the whole run. In Loop Mode this happens automatically per iteration. For single-item flows outside Loop Mode, a Join Paths node is required to reconnect the error branch so the workflow keeps going instead of dead-ending.. Without Error Shield (or without Join Paths in non-loop cases), a node failure stops the whole workflow, per Gumloop's docs.
Unbeaufsichtigte Ausführung
AACFlow
(Quelle: AACFlow codebase: trigger.dev background job backend, öffnet in neuem Tab)Yes: scheduled, webhook, and chat-triggered runs execute as background jobs on trigger.dev workers, entirely on AACFlow's servers. No client device needs to be open, awake, or connected for a run to fire or complete; closing the browser tab or shutting down a laptop has no effect on a scheduled or triggered workflow.
Gumloop
(Quelle: Gumloop API Reference: Getting Started, öffnet in neuem Tab)Yes: scheduled, webhook, and API-triggered runs execute on Gumloop's own cloud infrastructure with no dependency on a client device staying open, awake, or connected. Gumloop's own asyncExecution pattern confirms this: a POST to the start_pipeline API returns a run_id immediately and the run continues on Gumloop's servers, polled later via get_pl_run. Schedule, webhook, and API triggers documented under integrations.triggerTypes are server-side entry points into the same hosted platform, not a desktop app or local agent; there is no published requirement for a browser tab, desktop client, or local session to stay active for a triggered run to fire or finish.
Support
CompareAACFlow vs Gumloop
AACFlow
Gumloop
Support-Kanäle
AACFlow
Community support plus Enterprise 'Dedicated Support' (Quelle: AACFlow Pricing Page, öffnet in neuem Tab)Community 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.
Gumloop
Forum on Free, Slack on higher tiers (Quelle: Gumloop Pricing, öffnet in neuem Tab)Forum support on Free plan, escalating to dedicated Slack support on higher/Enterprise plans
SLA
AACFlow
(Quelle: AACFlow Pricing Page, öffnet in neuem Tab)Yes: the Enterprise plan includes a "Dedicated Support" feature per the pricing plan-comparison table; no SLA terminology, response-time, or uptime figures are published on the enterprise or pricing pages
Gumloop
Not publishedUnknown. Gumloop's pricing and trust pages publish no SLA or response-time commitment.
Community
AACFlow
(Quelle: AACFlow Landing Page, öffnet in neuem Tab)No community size is published yet
Gumloop
Not publicly disclosedUnknown. No public Discord/Slack member count or GitHub star count exists for the core Gumloop product; Gumloop's public GitHub org hosts only SDK/client repos (gumloop-py, gumloop-js, guMCP_template), not the core product.
Academy / Schulungen
AACFlow
(Quelle: AACFlow Docs: Academy, öffnet in neuem Tab)Yes: AACFlow Academy is a dedicated structured-learning section of the docs site, separate from reference documentation and the API reference
Gumloop
(Quelle: Gumloop University, öffnet in neuem Tab)Yes: Gumloop runs "Gumloop University," a structured learning resource with self-paced courses (e.g. "Getting Started with Gumloop"), live webinars, and week-long "Learning Cohorts" that award a certificate of completion for finishing practical challenges.. Certification is tied to completing cohort challenges rather than a formal exam-based program, but it is a structured curriculum beyond ad hoc docs/blog posts.
Herausragende Funktionen von AACFlow
AI Copilot / Chat agent-building surface (Quelle: AACFlow Docs: Copilot, öffnet in neuem Tab)
Chat builds and manages work across the workspace; in-editor Copilot edits a single workflow.
A workspace-wide natural-language surface (Chat) that can build workflows, manage data, and take actions across integrations, plus an in-editor Copilot scoped to building and editing a single workflow directly.Hybrid semantic + keyword knowledge base (Quelle: AACFlow codebase: KB schema + file-parsers, öffnet in neuem Tab)
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 (Quelle: AACFlow Docs: MCP Deployment, öffnet in neuem Tab)
Call external MCP servers as tools, or expose AACFlow 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 AACFlow expose its own workflows as MCP servers.Fork a workspace into dev, qa, and prod environments (Quelle: AACFlow Docs: Workspace Forks, öffnet in neuem Tab)
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 (Quelle: AACFlow Docs: Human in the Loop Block, öffnet in neuem Tab)
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.Live multiplayer canvas editing (Quelle: AACFlow codebase: realtime presence handler, öffnet in neuem Tab)
Real-time cursors, selections, and synced edits on the same canvas.
Real-time cursors, selection broadcasting, and synced concurrent edits over a dedicated realtime backend, so a team can build the same workflow together at the same time.Dokumentierte Einschränkungen von Gumloop
No public self-hosting of the core platform (Quelle: Gumloop Security & Trust, öffnet in neuem Tab)
No downloadable self-hosted install. Only managed SaaS or enterprise VPC.
Gumloop is only available as managed SaaS or an enterprise-managed VPC deployment operated by Gumloop inside a customer's cloud project. There is no downloadable, self-managed install of the Gumloop application itself; Gumloop's own guMCP_template repo is a self-hosted MCP-server starter, not an install of the platform.Proprietary license, closed source (Quelle: Gumloop Terms of Service, öffnet in neuem Tab)
Closed commercial product with no open-source core.
The core Gumloop application has no open-source license; Gumloop's own Terms of Service state the Service, its features, and its functionality "are and will remain the exclusive property of AgentHub Inc. (doing business as Gumloop) and its licensors," unlike some workflow-automation competitors that ship an open-source core.Inconsistent/unclear integration count across vendor pages (Quelle: Getting Started - Gumloop docs, öffnet in neuem Tab)
Vendor pages cite different integration counts with no single authoritative figure.
Gumloop's own pages give differing figures for integrations: its docs introduction cites '100+ pre-built nodes and integrations,' while its dedicated MCP page separately advertises '250+ MCP servers.' These may be different countable categories (native nodes vs MCP-protocol connectors), but neither page cross-references the other, and the dedicated /integrations directory page still returns a 404, making an exact, citable integration count hard to pin down from primary sources.No documented built-in vector-search/RAG knowledge base feature in primary docs (Quelle: Gumloop forum: Building a knowledge base for RAG, öffnet in neuem Tab)
No official docs describe a built-in RAG or vector-database knowledge base.
No official Gumloop documentation describes a dedicated, built-in vector-database/RAG knowledge-base capability. Only a user forum thread and a third-party tutorial reference building a 'knowledge base' with Gumloop nodes.Fazit
Choose AACFlow if you want an 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 Gumloop if you specifically need 250+ fully hosted MCP servers: Gumloop offers 250+ pre-built, zero-setup hosted MCP servers spanning popular services, letting agents connect to external tools without manual configuration.
Weiterführende Lektüre
Häufig gestellte Fragen
AACFlow is an AI workspace where teams build, deploy, and manage AI agents visually, conversationally, or with code. Gumloop is a hosted, no-code visual platform for building and deploying AI agents and automations: a drag-and-drop canvas, an AI copilot ("Gen") for natural-language flow creation, and native MCP (Model Context Protocol) integration support. Teams considering a switch typically weigh pricing model, and how AI-native the platform's agent-building experience is.
