AACFlow против OpenClaw
AACFlow — ИИ-рабочее пространство, где команды создают, развёртывают и сопровождают ИИ-агентов визуально, в диалоге или кодом. Вот как AACFlow соотносится с OpenClaw по архитектуре платформы, возможностям ИИ, интеграциям, ценам, безопасности и поддержке. Каждый факт ниже подтверждён источником и датой, последняя проверка: .
AACFlow — ИИ-рабочее пространство для создания, развёртывания и сопровождения ИИ-агентов. На этой странице AACFlow сравнивается с OpenClaw по архитектуре платформы, возможностям ИИ, интеграциям, ценам, безопасности и соответствию требованиям, наблюдаемости и поддержке; используются факты с источниками и датами для тех, кто выбирает между двумя платформами.
Что такое 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.
Что такое OpenClaw?
OpenClaw is a free, open-source, self-hosted personal AI agent that runs on a user's own machine or server and connects to messaging platforms (WhatsApp, Telegram, Slack, Discord, Signal, iMessage, Microsoft Teams, and others) as its primary interface, extensible via a Skills plugin system and the ClawHub marketplace. It is not a visual workflow/automation builder like AACFlow, n8n, or Power Automate.
AACFlow и OpenClaw: сравнение по возможностям
В разделах ниже AACFlow и OpenClaw сравниваются по платформе и развёртыванию, ценам, безопасности и соответствию требованиям, возможностям ИИ, интеграциям, наблюдаемости и поддержке.
Платформа и развёртывание
CompareAACFlow vs OpenClaw
AACFlow
OpenClaw
Тип конструктора
AACFlow
Visual canvas, chat, or code (источник: AACFlow Docs: Introduction (visual, natural-language, and API/SDK building), откроется в новой вкладке)Visual drag-and-drop canvas, natural-language (Chat), or code (API/SDK)
OpenClaw
Conversational config-driven agent, not a visual builder (источник: OpenClaw Docs home, откроется в новой вкладке)Conversational, config-driven personal AI agent gateway, not a visual or drag-and-drop workflow/agent builder. Behavior is set via a JSON configuration file (openclaw.json) and Markdown Skill files, and the agent is operated by sending it chat messages, not by wiring blocks on a canvas.. The docs describe OpenClaw as "a self-hosted gateway that connects your favorite chat apps...to AI coding agents," configured through a CLI (openclaw onboard, openclaw channels login) and JSON/Markdown files, not a graphical builder.
Порог входа
AACFlow
Low, plus natural-language Chat for non-technical users (источник: AACFlow Docs: Introduction (visual, natural-language, and API/SDK building), откроется в новой вкладке)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.
OpenClaw
Technical setup, but simple chat once configured (источник: OpenClaw Docs home, откроется в новой вкладке)Moderate to steep for initial self-hosted setup, low for day-to-day chat use once running. Installing OpenClaw requires Node.js 22.19+/24, a package manager (pnpm/npm/bun), CLI onboarding commands, and editing JSON configuration for channels, providers, and security policy (e.g. DM pairing, sandbox mode). Once running, interacting with the agent is plain natural-language chat.
Варианты развёртывания
AACFlow
Managed cloud, no single-tenant VPC option (источник: AACFlow Pricing Page, откроется в новой вкладке)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.
OpenClaw
Local install, Docker, or from source; no hosted option (источник: openclaw/openclaw (GitHub), откроется в новой вкладке)Local install via npm/pnpm/bun on macOS, Windows, or Linux; from-source build via a pnpm workspace; Docker/docker-compose; plus companion macOS app and iOS/Android mobile "nodes" that connect to a locally run Gateway. The GitHub repo documents `npm install -g openclaw@latest` plus `openclaw onboard --install-daemon` as the recommended path, alongside from-source and Docker installs, and platform-specific companion apps (Windows Hub, macOS app, iOS/Android nodes).
Шаблоны
AACFlow
(источник: AACFlow codebase: templates gallery and APIs removed, откроется в новой вкладке)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.
OpenClaw
(источник: ClawHub registry, откроется в новой вкладке)No workflow templates in the visual-builder sense; OpenClaw has no workflow canvas. ClawHub instead offers a small, curated catalog of community-built Skills as installable starter packages for specific tasks: the live registry currently lists roughly 30 featured skills and 12 plugins.. ClawHub is the closest analog to a template gallery, installable Markdown Skill packages for specific tasks, but its catalog is a curated set rather than a large template gallery, and catalog size has shifted significantly over time (including a security-driven cleanup, see integrations for detail). Each skill is a Markdown instruction package installed into the agent, not a prebuilt multi-step workflow.
Продвижение между средами
AACFlow
(источник: AACFlow Docs: Workspace Forks, откроется в новой вкладке)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.
OpenClaw
No dev/staging/prod conceptN/A: no dev/staging/production environment-promotion concept exists. OpenClaw is a single running agent instance configured by one JSON file, not a deployable multi-stage application.. There is no feature for forking or promoting a full agent configuration/project between separate environments; configuration changes apply directly to the running Gateway.
Контроль версий
AACFlow
Deployment rollback plus Copilot edit diff/revert (источник: AACFlow codebase: WorkflowDiffEngine, откроется в новой вкладке)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.
OpenClaw
(источник: OpenClaw Docs: Memory overview, откроется в новой вкладке)No native version history, diff/compare, or rollback feature for agent configuration or Skills; users can optionally track their own config/skill files in an external Git repository. Skills and memory are plain files on disk (SKILL.md, MEMORY.md, openclaw.json), which a user can manually place under their own Git repository for versioning. OpenClaw itself ships no built-in change-history or restore UI for these files.
Совместная работа в реальном времени
AACFlow
(источник: AACFlow codebase: realtime presence handler (cursor/selection broadcast), откроется в новой вкладке)Yes: live multiplayer editing of the same workflow canvas, with real-time cursors, selection broadcasting, and synced concurrent edits over a dedicated realtime backend
OpenClaw
(источник: OpenClaw Docs: Security, откроется в новой вкладке)No: OpenClaw's security model assumes a single trusted operator per Gateway instance, not multiple simultaneous users collaboratively editing the same agent configuration or session with live cursors/synced state.. The security documentation states the design is a "single-user, personal-assistant model," which excludes any live multi-user co-editing concept.
Встроенное файловое хранилище
AACFlow
(источник: AACFlow codebase: file share modal (password/email/SSO modes), откроется в новой вкладке)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.
OpenClaw
(источник: OpenClaw Docs: Security, откроется в новой вкладке)No: OpenClaw has no cloud file-storage product of its own. It reads and writes files directly on the operator's own local filesystem, inside a sandboxed workspace directory, rather than through a dedicated hosted file-storage/sharing surface.. Tool access defaults to sandbox-isolated directories under ~/.openclaw/sandboxes (agents.defaults.sandbox.workspaceAccess). There is no first-party hosted file-storage/sharing surface distinct from the local filesystem.
Встроенные таблицы данных
AACFlow
(источник: AACFlow Docs: Tables, откроется в новой вкладке)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."
OpenClaw
(источник: OpenClaw Docs: Memory overview, откроется в новой вкладке)No: OpenClaw has no native spreadsheet-like data table feature. Its structured, persistent data primitives are plain Markdown memory files (daily notes and MEMORY.md) plus whatever external tools (databases, spreadsheets) it reaches via MCP servers or Skills, not a first-party grid UI.. Memory documentation describes Markdown files as the source of truth for continuity and state, chosen over a hidden database for transparency and human readability, the opposite design goal of a spreadsheet-grid product.
Редактор документов с форматированием
AACFlow
(источник: AACFlow codebase: rich markdown editor, откроется в новой вкладке)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
OpenClaw
(источник: OpenClaw Docs: Memory overview, откроется в новой вкладке)No: OpenClaw has no inline WYSIWYG rich-text editor. Documents it produces or edits (including its own memory files) are plain Markdown text files edited by the agent or the user's own text editor, not a rendered rich-text surface inside a product UI.. Memory and Skills are both plain Markdown (.md) files on disk. There is no in-app rendered rich-text editing surface.
Подворкфлоу (композиция)
AACFlow
(источник: AACFlow Docs: Workflow block, откроется в новой вкладке)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.
OpenClaw
(источник: OpenClaw Docs: Lobster, откроется в новой вкладке)No: OpenClaw's optional Lobster workflow shell has no step type for invoking another saved workflow file as a nested sub-step. Sub-agents (sessions_spawn) delegate a task to a whole separate agent session, not a call-and-wait step inside a defined multi-step pipeline.. Lobster's step types are run/command (shell/CLI), pipeline (native stages like llm.invoke), and approval (gates); none reference invoking a second .lobster/YAML/JSON workflow file as a step. Sub-agents are the closest related feature but compose whole agent sessions, not saved workflow definitions, and even that requires an explicit sessions_yield to block for a result rather than a built-in composition primitive.
Собственные блоки (повторное использование в организации)
AACFlow
(источник: AACFlow codebase: custom-blocks publish API (admin gate), откроется в новой вкладке)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.
OpenClaw
(источник: OpenClaw Docs: Lobster, откроется в новой вкладке)No: OpenClaw has no feature to publish a Lobster workflow or Task Flow as a named, iconed, encapsulated block that appears in a shared toolbar for other org members to drop into their own separate flows. The documented path for org-wide reuse is packaging a `.lobster` file plus setup notes as a Skill or plugin and publishing it through ClawHub, an installable instruction/code package the agent references, not a live block whose inputs/outputs are auto-derived from a source workflow and that tracks that workflow's latest deployed version automatically.. Lobster's own docs list run/command, pipeline, and approval as its only step types, with no invoke-another-workflow-as-a-block primitive. Task Flow is scoped to tracking state within a single multi-step run, not publishing that run as a reusable component. ClawHub Skills are markdown instruction files compiled into the system prompt for agent reasoning, not encapsulated, auto-input-derived workflow blocks with hand-picked outputs and hidden internals; a published Skill's `.lobster` file and setup notes are visible to whoever installs it, the opposite of AACFlow's full encapsulation.
Тарифы
CompareAACFlow vs OpenClaw
AACFlow
OpenClaw
Модель ценообразования
AACFlow
Credit-based billing, BYOK exempt from caps (источник: AACFlow Pricing, откроется в новой вкладке)Credit-based usage billing (Stripe), with bring-your-own-key exemption from metered caps
OpenClaw
Free software, pay only your own model provider (источник: openclaw/openclaw LICENSE file, откроется в новой вкладке)Free and open source (MIT license); no OpenClaw subscription fee. Users separately pay their chosen LLM provider (Anthropic, OpenAI, Google, etc.) for model usage, or run a local model at no marginal API cost.. There is no OpenClaw-branded paid plan: the software itself carries no license fee and there is no hosted SaaS tier. The only recurring cost is whichever model provider/API the operator configures.
Начальный платный тариф
AACFlow
Pro plan at $25/user/month (источник: AACFlow Pricing, откроется в новой вкладке)Pro: $25 per user/month
OpenClaw
N/A, no paid plan exists (источник: openclaw/openclaw LICENSE file, откроется в новой вкладке)N/A: there is no paid OpenClaw plan or tier. The software is free under the MIT license.. No pricing page or paid-tier documentation exists for OpenClaw itself. Costs incurred are entirely third-party (LLM provider API usage, optional TTS/media-generation provider fees, hosting for a VPS if not run on a personal machine).
Бесплатный уровень
AACFlow
(источник: AACFlow Pricing, откроется в новой вкладке)No free tier: usage is paid for with prepaid wallet credits or a paid plan
OpenClaw
(источник: openclaw/openclaw LICENSE file, откроется в новой вкладке)Yes: the entire product is free and open source under the MIT license; there is no metered or gated free tier because there is no paid tier at all.. Unlike a typical vendor "free tier" that caps usage, OpenClaw imposes no OpenClaw-side usage limits. Only the configured LLM provider's own rate limits/costs apply.
Собственный ключ (BYOK)
AACFlow
(источник: AACFlow Docs: Bring Your Own Key (BYOK), откроется в новой вкладке)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
OpenClaw
(источник: OpenClaw Docs: Model providers, откроется в новой вкладке)Yes, and mandatory: OpenClaw requires the operator to supply their own API credentials/OAuth login for whichever model provider(s) they configure (Anthropic, OpenAI, Google, or any OpenAI-compatible endpoint); there is no OpenClaw-hosted model access.. Onboarding documentation walks through provider-specific auth flows (e.g. `openclaw models auth paste-token --provider anthropic`, `openclaw models auth login --provider openai-codex`). BYOK is the only supported model-access model.
Безопасность и соответствие требованиям
CompareAACFlow vs OpenClaw
AACFlow
OpenClaw
SOC 2
AACFlow
(источник: AACFlow Landing Page, откроется в новой вкладке)No third-party SOC 2 report is claimed
OpenClaw
(источник: OpenClaw Docs: Security, откроется в новой вкладке)No: OpenClaw is a self-hosted open-source project run by a non-profit Foundation, not a vendor selling a hosted service, and publishes no SOC 2 report.. No SOC 2 attestation, trust center, or audit report exists for OpenClaw. Responsibility for infrastructure security rests entirely with whoever self-hosts the Gateway.
Резидентность данных
AACFlow
Cloud region toggle is global, not per-customer (источник: AACFlow codebase: async job region resolution, откроется в новой вкладке)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
OpenClaw
(источник: OpenClaw Ecosystem page, откроется в новой вкладке)Yes, by construction: because OpenClaw runs only as a self-hosted Gateway process, with no OpenClaw-operated hosted/SaaS version, all agent data (sessions, memory files, credentials) resides wherever the operator chooses to run it, e.g. a personal laptop or a self-hosted VPS/homelab using the project's own Ansible/NixOS deployment tooling, giving the operator full control over data location with no vendor-side residency question.. The OpenClaw Ecosystem page lists self-host infrastructure tooling (an Ansible playbook, NixOS packaging) for operators running the Gateway on their own server. Combined with there being no OpenClaw-operated cloud service, data residency is entirely a function of where the operator deploys the Gateway.
Ролевой контроль доступа
AACFlow
(источник: AACFlow Docs: Roles and Permissions, откроется в новой вкладке)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.
OpenClaw
(источник: OpenClaw Docs: Security, откроется в новой вкладке)No: OpenClaw has no role-based access control system. Its security model is a "single-user, personal-assistant model" with one trusted operator per Gateway, not multiple roles/permission tiers for different users of the same instance.. Access control that does exist is channel/message-level (DM pairing policy, group allowlists, per-agent tool allow/deny), not a user-role permission matrix.
Журнал аудита
AACFlow
(источник: AACFlow codebase: auditLog table, откроется в новой вкладке)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
OpenClaw
Local audit CLI + redacted JSONL transcripts, not a central log product (источник: OpenClaw Docs: Security, откроется в новой вкладке)Partial: a local `openclaw security audit` CLI command checks inbound access policy, tool blast radius, filesystem permissions, and network exposure, and session transcripts are stored as local JSONL files with sensitive content redacted by default. This is a local diagnostic/log-file feature, not a centralized, exportable audit-log product.. Findings are grouped by severity with checkId keys (e.g. gateway.bind_no_auth). Transcripts live at ~/.openclaw/agents/<agentId>/sessions/*.jsonl, accessible to any process with filesystem access to that path, so there is no access-controlled central audit store.
Дополнительное соответствие требованиям
AACFlow
None claimed (источник: AACFlow Enterprise Page, откроется в новой вкладке)None claimed. No additional third-party certification is claimed.
OpenClaw
(источник: Wikipedia: OpenClaw, откроется в новой вкладке)No compliance certifications (no HIPAA, ISO 27001, GDPR-specific attestation, PCI, or FedRAMP). As open-source, self-hosted software from a non-profit Foundation, OpenClaw is not the kind of vendor entity that typically pursues these certifications; compliance posture depends entirely on how and where the operator self-hosts it.. China restricted state enterprises and government agencies from deploying OpenClaw in March 2026 over security concerns, per Wikipedia's history summary, a data point on the compliance/trust landscape rather than a certification.
Управление моделями и инструментами
AACFlow
(источник: AACFlow codebase: PermissionGroupConfig (allowedModelProviders, deniedModels, deniedTools), откроется в новой вкладке)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.
OpenClaw
(источник: OpenClaw Docs: Security, откроется в новой вкладке)Yes, at the single-operator level: OpenClaw supports per-agent tool allow/deny lists and sandbox-level workspace/tool restrictions (agents.defaults.sandbox, tools.allow/tools.deny), configured by one trusted operator, not enforced org-wide. The docs frame this as a layered 'identity → scope → model' design principle rather than a formally named three-gate system.. Documented via agent-level tools.allow/tools.deny lists and sandbox-level workspace/tool restrictions, plus explicit provider/model selection per agent in configuration, framed by the docs around an 'identity → scope → model' design principle.
Управление учётными данными
AACFlow
(источник: AACFlow Docs: Roles and Permissions, откроется в новой вкладке)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.
OpenClaw
(источник: OpenClaw Docs: Security, откроется в новой вкладке)No: OpenClaw has no per-role credential-scoping system, since there are no multiple roles to scope. Its security docs flag that home-directory credential paths (~/.aws, ~/.ssh, ~/.npm, etc.) must be explicitly blocked from sandbox mounts as a hardening step, rather than being governed by a built-in fine-grained credential-access policy layer.. The docs list credential-root directories the sandbox blocks by default (docker.sock, /etc, /proc, /sys, /dev, plus ~/.aws, ~/.cargo, ~/.config, ~/.docker, ~/.gnupg, ~/.netrc, ~/.npm, ~/.ssh), a deny-list hardening measure, not a positive credential-governance feature.
Единый вход (SSO)
AACFlow
(источник: AACFlow Docs: Single Sign-On (SSO), откроется в новой вкладке)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
OpenClaw
(источник: OpenClaw Docs: Security, откроется в новой вкладке)No: OpenClaw has no SAML/OIDC single sign-on feature. Its access model authenticates individual senders on connected messaging channels (DM pairing, allowlists), a single-operator personal tool, not an organization with a directory of employees signing in via an identity provider.. SSO and organization provisioning are out of scope for the "single-user, personal-assistant model" OpenClaw's security documentation describes.
Настраиваемая политика сессий
AACFlow
(источник: AACFlow Docs: Session Policies, откроется в новой вкладке)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.
OpenClaw
No signed-in session: static shared-secret operator auth (источник: OpenClaw Docs: Security, откроется в новой вкладке)Not applicable: there is no signed-in session to bound. The Gateway authenticates callers with a static shared secret (`gateway.auth` token or password, or a trusted-proxy header mode), and the security docs document no session expiry, idle timeout, or time-bound signed session; every authenticated caller holds operator-level access until the secret is rotated.. The `session.reset` settings that do exist govern conversation context, not authentication: `session.reset.mode` of `"daily"` (`atHour`, default 4) or `"idle"` (`idleMinutes`) starts a fresh chat session, and cron jobs get a fresh conversation session per run. The docs state `sessionKey` is "a routing selector, not an authorization token," and recommend separate Gateway instances per trust boundary rather than session controls inside one shared instance.
Проверенные собственные интеграции
AACFlow
(источник: AACFlow codebase: first-party block directory, откроется в новой вкладке)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.
OpenClaw
(источник: Snyk: 280+ Leaky Skills: How OpenClaw & ClawHub Are Exposing API Keys and PII, откроется в новой вкладке)No: researchers documented 283 ClawHub skills (about 7.1% of the registry) leaking API keys and other credentials, plus a separate scan finding 24 accounts distributing over 600 malicious skills before scanning existed, roughly 900 skills total with a documented credential-leak or malware finding. That is a direct consequence of ClawHub's structure: it is an open marketplace where any third-party developer can publish, and any user can install, an executable Markdown/code Skill package, not a first-party catalog authored and code-reviewed by OpenClaw itself. This is the opposite trust boundary from AACFlow, where all 302 blocks are first-party authored and code-reviewed through the standard pull-request process, with no public marketplace for installing arbitrary third-party executable code.. OpenClaw has since added a ClawScan pipeline (static analysis, VirusTotal, and NVIDIA SkillSpector as of June 2026) that assigns each published skill a Clean/Suspicious/Malicious verdict and a Skill Card, but its docs still tell users to treat third-party skills as untrusted code, and the marketplace remains open to any publisher rather than vendor-authored. AACFlow avoids this class of incident structurally: custom code steps run inside its own isolated-vm sandbox rather than as an installable third-party skill package.
Скрытие персональных данных
AACFlow
(источник: AACFlow Docs: Guardrails Block, откроется в новой вкладке)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
OpenClaw
Partial: log redaction only, not conversation-content PII detection (источник: OpenClaw Docs: Security, откроется в новой вкладке)Partial: session logging redacts sensitive tool summaries and URLs by default (logging.redactSensitive: "tools"), but this is generic sensitive-data log redaction, not a dedicated, named PII-detection feature (e.g. SSNs, credit card numbers) applied to conversation content itself.. Redaction applies to logging output only, not to what the agent itself sees or processes mid-conversation.
Настраиваемое хранение данных
AACFlow
(источник: AACFlow Docs: Data Retention, откроется в новой вкладке)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
OpenClaw
(источник: OpenClaw Docs: Scheduled tasks (cron jobs), откроется в новой вкладке)Yes, operator-configurable: isolated sub-agent/cron sessions are pruned after a retention window (24 hours by default), and because all data lives in local files (session JSONL transcripts, memory Markdown files), the self-hosting operator has full control over retention (including deleting files immediately).. The default 24-hour retention applies specifically to isolated cron-job sessions; the main session's own history and memory files persist until the operator manually prunes them, giving complete operator-side control rather than a vendor-set policy.
White-label (собственный бренд)
AACFlow
(источник: AACFlow Docs: Whitelabeling, откроется в новой вкладке)Yes: Enterprise orgs can replace the logo, wordmark, brand name, and primary/accent theme colors across the workspace UI with their own
OpenClaw
No: OpenClaw has no white-labeling feature. As a personal, self-hosted agent, not a product a business deploys to its own end customers under its own brand, rebranding the product UI/name is not a use case the docs address.. No documentation describes replacing OpenClaw branding for a deployed customer-facing product; the concept does not map cleanly onto a personal-assistant tool the way it does for a workflow platform with deployed apps.
Возможности ИИ
CompareAACFlow vs OpenClaw
AACFlow
OpenClaw
Поддержка нескольких LLM
AACFlow
21 providers plus dynamic-resolution aggregators (OpenRouter, LiteLLM, etc.) (источник: AACFlow codebase: PROVIDER_DEFINITIONS, откроется в новой вкладке)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.
OpenClaw
(источник: OpenClaw Docs: Model providers, откроется в новой вкладке)Yes: bundled support for Anthropic Claude, OpenAI (via Codex OAuth), and Google Gemini, plus any OpenAI-compatible endpoint including local runtimes like Ollama. OpenClaw ships with the pi-ai model catalog for Anthropic, OpenAI, and Google Gemini (auth via CLI login/token flows), and supports local models (Ollama, auto-detected at http://127.0.0.1:11434/v1) and other OpenAI-compatible providers (Moonshot/Kimi, Cerebras, MiniMax, DeepSeek, Groq, xAI, and others).
Блоки рассуждений агента
AACFlow
(источник: AACFlow codebase: block registry, откроется в новой вкладке)Yes: dedicated agent, function-calling, RAG, code-execution, and evaluation blocks, not just data routing
OpenClaw
No block-based builder; reasoning is the whole agent loop (источник: OpenClaw Docs: Sub-agents, откроется в новой вкладке)N/A in the block-based sense: OpenClaw has no visual builder with distinct "reasoning" vs. "routing" node types. The entire agent is a single conversational reasoning loop, with optional sub-agent delegation, not composed from discrete blocks.. Reasoning happens inside the model's own agent loop per turn. The closest structural analog is spawning a sub-agent for a distinct sub-task, not a dedicated "agent block" placed on a canvas.
Создание на естественном языке
AACFlow
(источник: AACFlow Docs: Copilot, откроется в новой вкладке)Yes: Chat + in-editor AI Copilot can build and modify workflows from natural-language requests
OpenClaw
(источник: OpenClaw Docs: Personal assistant setup, откроется в новой вкладке)Yes, in that natural language is the entire interaction model, but this is not "building a workflow" from a prompt: there is no workflow artifact for a prompt to generate. Configuration (channels, providers, security policy) is done via JSON files and CLI commands, not natural-language authoring.. OpenClaw's design splits operational config (JSON/CLI, technical) from agent interaction (chat, natural language); the two are not the same axis as a workflow-builder's "describe it and get an editable workflow" feature.
База знаний / RAG
AACFlow
(источник: AACFlow codebase: KB schema (pgvector + tsvector), откроется в новой вкладке)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
OpenClaw
Semantic search over own Markdown notes, not a general KB/RAG module (источник: OpenClaw Docs: Memory overview, откроется в новой вкладке)Partial: a built-in semantic-search memory system (memorySearch) indexes the operator's own Markdown notes for natural-language retrieval, but there is no dedicated knowledge-base module for ingesting arbitrary documents (PDF, DOCX, websites) into a managed vector database the way a workflow platform's KB module does.. memorySearch uses vector embeddings over the user's own Markdown files (daily notes, MEMORY.md) for semantic recall. Broader document ingestion/RAG over arbitrary file types relies on external MCP servers or Skills, not a first-party KB feature.
Поддержка MCP
AACFlow
(источник: AACFlow Docs: Using MCP Tools, откроется в новой вкладке)Yes: both MCP client (call external MCP servers) and MCP server (expose AACFlow workflows as MCP tools)
OpenClaw
(источник: OpenClaw Docs: MCP, откроется в новой вкладке)Yes: native MCP client support over both stdio and HTTP/SSE transports, connecting to any published MCP server by adding an mcpServers block to the OpenClaw config. Compatible with the entire published ecosystem of MCP servers (e.g. GitHub, Notion, Postgres, Slack). OpenClaw can also itself be run as an MCP server via `openclaw mcp serve`, exposing its channel conversations to external MCP clients like Claude Code.. The docs.openclaw.ai/cli/mcp page documents both directions: consuming external MCP servers via an mcpServers config block, and running `openclaw mcp serve` to start OpenClaw as a stdio MCP server exposing its channel conversations to external MCP clients.
Оценка и ограничители
AACFlow
LLM-judge Evaluator plus Guardrails validation block (источник: AACFlow Docs: Evaluator Block, откроется в новой вкладке)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.
OpenClaw
(источник: OpenClaw Docs: Security, откроется в новой вкладке)No dedicated eval/regression-testing framework for agent behavior; safety controls instead take the form of exec approval gates, sandboxing, and skill security scanning (ClawScan/SkillSpector/VirusTotal), not a test-dataset evaluation feature.. The security documentation covers exec approvals, sandbox tiers, and DM/group access policy, not an evaluation harness for scoring agent output quality against expected results.
Участие человека (human-in-the-loop)
AACFlow
(источник: AACFlow Docs: Human in the Loop Block, откроется в новой вкладке)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
OpenClaw
(источник: OpenClaw Docs: Sandbox vs tool policy vs elevated, откроется в новой вкладке)Yes: a per-command exec-approval system prompts the operator with Allow Once / Always Allow / Don't Allow for new command patterns before the agent can run them, distinct from a plain delay step. One of three permission gates (agent-level tool allow/deny, sandbox-level tool filter, and exec approvals), configurable per-agent via a security/ask mode. This is host command execution approval specifically, not a general-purpose "pause and wait for any human input" workflow node.
Генеративные медиа
AACFlow
(источник: AACFlow codebase: Image Generator V2, откроется в новой вкладке)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
OpenClaw
(источник: OpenClaw Docs: Media overview, откроется в новой вкладке)Yes: documented tools for image generation, video generation (text-to-video, image-to-video, video-to-video), music/audio generation, and text-to-speech, each running asynchronously except TTS which runs synchronously. The image_generate, video_generate, and music_generate tools post results into the chat session when ready. TTS defaults to ElevenLabs but also supports Azure Speech and Google Cloud TTS, with SSML/voice customization.
Динамическое использование инструментов
AACFlow
(источник: AACFlow codebase: agent tool resolution (pre-wired only), откроется в новой вкладке)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.
OpenClaw
Partial: skills are snapshotted per session, not re-selected per request (источник: OpenClaw Docs: Skills, откроется в новой вкладке)Partial: which Skills are even eligible for a session is snapshotted once when that session starts and reused for every subsequent turn, not re-selected per request; within that fixed snapshot, the agent still chooses which tool/skill to invoke on a given turn based on the request, rather than following a pre-wired sequence of steps chosen at build time.. OpenClaw's own docs state it "snapshots eligible skills when a session starts and reuses that list for all subsequent turns in the session," with changes to skills or config taking effect only on the next new session (or when a skills-file watcher detects an edit).
Автоматическая замена модели
AACFlow
(источник: AACFlow codebase: executeProviderRequest (no retry/fallback), откроется в новой вкладке)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.
OpenClaw
Not publicly documentedUnknown. OpenClaw documentation does not describe an automatic fallback to a different model or provider when the configured model errors or is rate-limited.
Навыки агентов
AACFlow
(источник: AACFlow Docs: Agent skills, откроется в новой вкладке)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.
OpenClaw
(источник: OpenClaw Docs: Skills, откроется в новой вкладке)Yes: Skills are named, reusable Markdown instruction packages (SKILL.md plus optional reference files/scripts) that a builder writes once, and the agent invokes by name or automatically when context matches, installable individually from ClawHub, git, or a local path. Skills follow the AgentSkills specification, support YAML frontmatter for gating (OS, environment variables, config flags) and slash-command exposure, and are resolved via a documented precedence order across workspace, project, personal, and managed/bundled skill directories.
Встроенное развёртывание чата
AACFlow
(источник: AACFlow Docs: Chat Deployment, откроется в новой вкладке)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
OpenClaw
N/A: chat is the native interface, not a separate deploy target (источник: OpenClaw Docs: WebChat, откроется в новой вкладке)N/A: OpenClaw's entire product is a chat surface (messaging-platform channels), so there is no separate "deploy as a public chat widget" feature the way a workflow builder has. Chat is the interface itself, not an optional deployment target.. The agent is reached through the messaging channels the operator has connected it to (WhatsApp, Telegram, Slack, etc.) or the built-in WebChat surface, which the docs describe as requiring authentication (a gateway auth path, shared-secret by default) rather than a standalone, unauthenticated public-facing chat widget for arbitrary website visitors.
Параллельное выполнение
AACFlow
(источник: AACFlow Docs: Parallel block, откроется в новой вкладке)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.
OpenClaw
(источник: OpenClaw Docs: Sub-agents, откроется в новой вкладке)Yes: sub-agents can run in parallel, working simultaneously on separate tasks (e.g. research, content generation, verification) and report back to the requesting session. Nesting defaults to depth 1, with a documented maxSpawnDepth configurable up to 5 levels via the maxSpawnDepth parameter (range 1-5).. Each sub-agent gets its own session identifier, context window, and execution environment (with optional sandboxing), isolated from the main session and from sibling sub-agents.
Протокол Agent2Agent (A2A)
AACFlow
(источник: AACFlow Docs: A2A integration, откроется в новой вкладке)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
OpenClaw
(источник: openclaw/openclaw GitHub issue: Native Agent-to-Agent Communication (A2A Protocol Support), откроется в новой вкладке)No native support: OpenClaw does not ship first-party Agent2Agent (A2A) protocol support. Community-built plugins (e.g. an A2A v0.3.0 gateway plugin) let OpenClaw agents discover and communicate with other A2A-compliant agents, but this is a third-party addition, not a built-in core feature.. A GitHub feature request for native A2A support exists on the openclaw/openclaw repo. A2A capability is provided only through separately maintained community plugins.
Блок цикла / итерации
AACFlow
(источник: AACFlow Docs: Loop block, откроется в новой вкладке)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
OpenClaw
(источник: OpenClaw Docs: Lobster, откроется в новой вкладке)No: neither the core agent loop nor the optional Lobster workflow shell has a dedicated for-each/while loop container. Lobster's own maintainers describe its steps as executing strictly top to bottom with no way to jump back to a previous step, and a GitHub feature-request proposal for adding loop/flow-control (a next field enabling backward jumps and max_iterations) is not yet implemented.. Lobster documents only run/command, pipeline, and approval step types plus a boolean condition gate. A maintainer-filed proposal (openclaw/lobster issue #38) states plainly that "steps execute top to bottom. There's no way to jump back to a previous step" and lists step flow control/loops as a future addition, not a shipped feature.
Интеграции
CompareAACFlow vs OpenClaw
AACFlow
OpenClaw
Интеграции
AACFlow
1,000+ integrations (266 blocks, ~3,900 tool actions) (источник: AACFlow codebase: BLOCK_REGISTRY, откроется в новой вкладке)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.
OpenClaw
29 channels, ~30 ClawHub skills/12 plugins, plus MCP servers (источник: OpenClaw homepage, откроется в новой вкладке)29 native messaging channels plus ClawHub's live registry of roughly 30 featured skills and 12 plugins, and MCP access to the broader MCP server ecosystem. Native channel integrations (WhatsApp, Telegram, Slack, Discord, Signal, iMessage, Microsoft Teams, and more) are documented directly, and the openclaw.ai homepage advertises 29 channels. ClawHub's live registry currently lists roughly 30 featured skills and 12 plugins; MCP support adds access to hundreds of third-party MCP servers on top of that.
Типы триггеров
AACFlow
Webhook, cron, chat, REST API, 61 app triggers, plus a diff-aware Tables trigger (источник: AACFlow Docs: Triggers overview, откроется в новой вкладке)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
OpenClaw
Chat messages, cron schedules, and inbound webhooks (TaskFlow-scoped) (источник: OpenClaw Docs: Scheduled tasks (cron jobs), откроется в новой вкладке)Inbound chat messages on connected channels, cron-based scheduled jobs (main-session or isolated-session runs), and inbound webhooks via the bundled Webhooks plugin. Cron jobs run agent prompts on a schedule using Croner syntax, with either "main session" delivery (enqueues a system event, optionally wakes the heartbeat) or an isolated dedicated session per run, pruned after a 24-hour retention window by default. The Webhooks plugin adds authenticated inbound HTTP routes so an external system can POST to create, run, resume, cancel, or fail a TaskFlow, functioning as an external event trigger scoped to TaskFlow lifecycle actions rather than an arbitrary generic webhook.
Шаги с собственным кодом
AACFlow
(источник: AACFlow Docs: Function block, откроется в новой вкладке)Yes: code-execution block for custom logic
OpenClaw
(источник: OpenClaw Docs: Sandbox vs tool policy vs elevated, откроется в новой вкладке)Yes: the agent can read/write files and run shell commands/scripts directly (subject to exec approval and sandbox policy), rather than through a discrete "code step" primitive in a visual workflow. This is native agent capability (shell exec, file read/write) governed by a three-tier permission system (agent tool allow/deny, sandbox tool filter, exec approvals), not a workflow-builder code block dropped into a defined step sequence.
Настраиваемые песочницы для кода
AACFlow
(источник: AACFlow Docs: Function block - Sandboxes, откроется в новой вкладке)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.
OpenClaw
(источник: OpenClaw Docs: Sandboxing, откроется в новой вкладке)Yes: the Docker sandbox the agent executes in is operator-defined. The image is selected via `agents.defaults.sandbox.docker.image` (defaulting to `openclaw-sandbox:bookworm-slim`, which preinstalls bash, ca-certificates, curl, git, jq, python3, and ripgrep but no Node, with the `openclaw-sandbox-common:bookworm-slim` variant layered on top of it adding Node 24 and pnpm), a custom image can be baked from the shipped sandbox build scripts (`scripts/sandbox-setup.sh`, or `scripts/docker/sandbox/Dockerfile.common` for the common variant), and `agents.defaults.sandbox.docker.setupCommand` runs once after container creation to install additional runtimes or CLIs. This is available only because OpenClaw is self-hosted; there is no OpenClaw-operated managed runtime to configure.. Runtime installation via `setupCommand` requires relaxing three hardening defaults for the setup phase: `docker.network` defaults to `"none"` (no egress, so package managers fail), `readOnlyRoot` defaults to true, and the default image runs as a non-root `sandbox` user. Sandbox exec does not inherit the host `process.env`, so keys and paths for anything installed that way have to come from `agents.defaults.sandbox.docker.env` or from a custom image; the docs note that `docker.env` values are readable via `docker inspect`. Separately, the gateway container image itself (not the sandbox image) accepts build-time `OPENCLAW_IMAGE_APT_PACKAGES` / `OPENCLAW_IMAGE_PIP_PACKAGES` and an `OPENCLAW_HOME_VOLUME` for persisting `/home/node`.
Развёртывание через API
AACFlow
(источник: AACFlow Docs: API Reference - Getting Started, откроется в новой вкладке)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.
OpenClaw
(источник: OpenClaw Docs: Webhooks plugin, откроется в новой вкладке)Yes, via the official Webhooks plugin: it adds authenticated inbound HTTP routes on the Gateway so external systems (Zapier, n8n, a CI job, or an internal service) can POST JSON to a configured path to create, drive, and manage OpenClaw TaskFlows, the closest OpenClaw feature to publishing a callable REST/webhook endpoint.. The plugin runs inside the Gateway process and is enabled via configuration (hooks.enabled, token/secret, path, defaultSessionKey, mappings). Requests authenticate with a shared secret (an Authorization: Bearer header or an x-openclaw-webhook-secret header) and accept documented action values including create_flow, get_flow, list_flows, find_latest_flow, resolve_flow, get_task_summary, set_waiting, resume_flow, finish_flow, fail_flow, request_cancel, cancel_flow, and run_task. This is narrower than a general-purpose custom-API-endpoint feature (only TaskFlow lifecycle operations are exposed, not arbitrary business logic), but it is a genuine callable inbound endpoint, not merely OpenClaw calling out to external webhooks.
SDK и расширяемость
AACFlow
Official Python and TypeScript SDKs, plus MCP, code block, and A2A protocol (источник: AACFlow Docs: Python SDK, откроется в новой вкладке)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
OpenClaw
Skill spec, plugin system, and a ~70-repo OSS ecosystem (источник: OpenClaw Docs: Skills, откроется в новой вкладке)Skill-authoring specification (AgentSkills/SKILL.md) plus a plugin system for channels/providers, and an open-source GitHub organization (~70 repos spanning SDKs, hosted agents, crawlers, and skill registries), not one single unified SDK product. The docs describe skill authoring (frontmatter, gating, tool dispatch), a plugin mechanism used for bundled-by-default channels like Matrix/Nostr/Twitch/Zalo (shipped in normal releases, not separately installed by the user), and a broader open-source "federation" of related projects under the openclaw GitHub org.
Публикация как MCP-сервер
AACFlow
(источник: AACFlow Docs: MCP Deployment, откроется в новой вкладке)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
OpenClaw
No first-party feature; only third-party bridge projectsUnknown, not a first-party feature: OpenClaw is documented as an MCP client (consuming external MCP servers), and one third-party community project (openclaw-mcp) provides a bridge exposing an OpenClaw instance itself as an MCP server, but no official OpenClaw feature to publish agent capability as an MCP server exists.. The reverse direction, letting external MCP clients call into OpenClaw, exists only via community-built bridge projects (e.g. a Claude.ai-to-OpenClaw OAuth2 bridge), not as a first-party capability.
Наблюдаемость и надёжность
CompareAACFlow vs OpenClaw
AACFlow
OpenClaw
Трассировка и наблюдаемость
AACFlow
(источник: AACFlow codebase: TraceSpan tree builder, откроется в новой вкладке)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.
OpenClaw
Raw JSONL session logs, no dashboard/trace UI (источник: OpenClaw Docs: Security, откроется в новой вкладке)Local JSONL session transcripts (per agent, per session) capture the conversation and tool-call history, and a `/subagents` command shows spawned sub-agent status, but there is no customer-facing dashboard or span-level distributed-tracing product. This is raw log-file level detail, not a rendered trace UI.. Transcripts are stored at ~/.openclaw/agents/<agentId>/sessions/*.jsonl with sensitive content redacted by default. Inspecting them means reading the raw file (or building tooling on top), not a built-in visual trace viewer.
Надёжность и повторные попытки
AACFlow
Tool-call retries (up to 10x); single-attempt job orchestration (источник: AACFlow codebase: ToolRetryConfig (exponential backoff), откроется в новой вкладке)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.
OpenClaw
Clean isolated cron runs with retry-with-backoff; no checkpoint/replay (источник: OpenClaw Docs: Scheduled tasks (cron jobs), откроется в новой вкладке)Partial: cron-scheduled jobs run as isolated sessions with retention/pruning, and OpenClaw now provides automatic retry-with-backoff for both one-shot jobs (up to retry.maxAttempts, default 3 attempts, at 30s/60s/5m) and recurring jobs (an extended 30s/60s/5m/15m/60m backoff on consecutive errors), though there is still no checkpoint/replay-of-a-past-run feature for either scheduled jobs or interactive chat sessions.. The cron docs describe both delivery diagnostics (intended target, resolved target, fallback delivery used, final delivered state) for message delivery, and the retry/backoff schedule (cron.sessionRetention, runLog.keepLines, retry.maxAttempts) as configurable per job.
Оповещения о сбоях
AACFlow
(источник: AACFlow Docs: AACFlow Workspace Events trigger, откроется в новой вкладке)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
OpenClaw
Dedicated failure-alerting path (webhook + tuning flags); no email/threshold alerts (источник: OpenClaw Docs: Scheduled tasks (cron jobs), откроется в новой вкладке)Partial: cron jobs support a dedicated failure-alerting path (a configurable cron.failureDestination global/per-job override, a webhook delivery mode, and --failure-alert-after/--failure-alert-cooldown tuning flags) in addition to normal chat delivery diagnostics, so failure alerting is a distinct feature rather than merely folded into chat delivery. There is still no email or cost/latency-threshold alerting.. Failure alerting is a dedicated, tunable path (webhook delivery mode plus alert-frequency flags), separate from the normal chat-delivery flow where the operator otherwise sees delivery outcomes in the channel where the job reports.
Выгрузка данных (data drains)
AACFlow
(источник: AACFlow Docs: Data Drains, откроется в новой вкладке)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.
OpenClaw
No: there is no feature to continuously export execution/session data to an external destination (S3, BigQuery, Datadog, webhook, etc). Because all data already lives in local files under the operator's control, any such export would be a user-built script against those local files, not a first-party OpenClaw data-drain feature.. OpenClaw's documentation has no SIEM/export integration comparable to a hosted platform's log-streaming feature.
Асинхронное выполнение
AACFlow
(источник: AACFlow codebase: async execution handler, откроется в новой вкладке)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.
OpenClaw
(источник: OpenClaw Docs: Media overview, откроется в новой вкладке)Yes: generative media tools (image/video/music generation) run asynchronously in the background and post results into the chat session when ready, and cron jobs run independently of any single interactive chat session. Unlike a cloud-hosted platform, the Gateway process itself must remain running on the operator's machine/server for any of this to execute.. This differs from a fully server-hosted workflow platform in one respect: if the machine running the Gateway is off, no async or scheduled execution happens, since there is no separate cloud execution layer independent of the self-hosted process.
Лимиты выполнения
AACFlow
5-50 min sync; async defaults to 90 min, Enterprise up to 7 days (источник: AACFlow Docs: Concurrent Executions, откроется в новой вкладке)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.
OpenClaw
(источник: OpenClaw Docs: Sub-agents, откроется в новой вкладке)No fixed platform-wide execution-time ceiling is published by default (runTimeoutSeconds defaults to 0/unlimited). Sub-agents cannot spawn their own children by default (maxSpawnDepth defaults to 1); setting maxSpawnDepth to 2 opts into one level of nesting (the documented "orchestrator pattern"), up to a configurable maximum of 5. agents.defaults.subagents.maxConcurrent caps concurrent sub-agent runs at 8 by default, with maxChildrenPerAgent capping children per orchestrator at 5 by default.. Because OpenClaw runs on infrastructure the operator controls, execution-time/concurrency limits beyond these published defaults (runTimeoutSeconds, maxSpawnDepth, maxConcurrent, maxChildrenPerAgent) are a function of that operator's own hardware and their model provider's API limits, not an OpenClaw-side ceiling.
Обработка частичных сбоев
AACFlow
(источник: AACFlow codebase: error-output edge routing, откроется в новой вкладке)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
OpenClaw
Implicit isolation via sub-agent sessions, no explicit branching error path (источник: OpenClaw Docs: Sub-agents, откроется в новой вкладке)Partial: because sub-agents run in isolated sessions, one sub-agent failing does not halt sibling sub-agents or the main session, an implicit form of failure isolation, but there is no explicit "route this failed step to an error-handling path while the rest of the run continues" mechanism the way a branching workflow builder offers.. Isolation here comes from sub-agent session/sandbox separation by design, not from a dedicated try/catch or conditional-branch construct users configure per step.
Выполнение без присмотра
AACFlow
(источник: AACFlow codebase: trigger.dev background job backend, откроется в новой вкладке)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.
OpenClaw
Partial: depends on the self-hosted Gateway machine staying up (источник: OpenClaw Docs: Scheduled tasks (cron jobs), откроется в новой вкладке)Partial: cron-scheduled jobs run independently of any open chat window, but they still depend on the self-hosted Gateway process itself staying up on whatever machine the operator chose to run it on. If that machine is a personal laptop, the schedule requires the laptop to stay on, awake, and connected; only running the Gateway on an always-on server/VPS gets behavior comparable to a cloud-hosted platform's zero-client-dependency execution. There is no OpenClaw-managed cloud execution layer independent of the self-hosted process.. This mirrors the asyncExecution and durabilityModel facts above: OpenClaw has no separate hosted execution tier, so unattended reliability is entirely a function of the uptime of whichever machine the operator picked to run the Gateway on, not a property OpenClaw itself guarantees.
Поддержка
CompareAACFlow vs OpenClaw
AACFlow
OpenClaw
Каналы поддержки
AACFlow
Community support plus Enterprise 'Dedicated Support' (источник: AACFlow Pricing Page, откроется в новой вкладке)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.
OpenClaw
Docs, GitHub issues, community; no paid vendor support desk (источник: openclaw/openclaw (GitHub), откроется в новой вкладке)Community-driven support via official documentation, the GitHub repository/issue tracker, and the broader OpenClaw ecosystem/community channels; no dedicated paid vendor support desk, since no vendor sells a support contract.. The project is community-maintained under Foundation governance; support is the standard open-source model of docs, GitHub issues, and community discussion rather than a ticketed enterprise support line.
SLA
AACFlow
(источник: AACFlow Pricing Page, откроется в новой вкладке)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
OpenClaw
No SLA (self-hosted community project)Not publicly documented. No SLA is published, typical for free, self-hosted, community-governed open-source software with no vendor-operated service to guarantee uptime for.
Сообщество
AACFlow
(источник: AACFlow Landing Page, откроется в новой вкладке)No community size is published yet
OpenClaw
~382,000 GitHub stars, extremely rapid growth since Nov 2025 (источник: openclaw/openclaw (GitHub), откроется в новой вкладке)Large and very fast-growing: the GitHub repository has roughly 382,000 stars, reported by multiple sources as the fastest-growing and, by some accounts, most-starred non-aggregator open-source project in GitHub's history, alongside an active ClawHub skill-sharing community.. Growth milestones include 9,000 stars in the first 24 hours after launch (as Clawdbot, November 2025) and 247,000+ stars by March 2, 2026. Star counts fluctuate and are best checked live on the GitHub repository.
Академия / обучение
AACFlow
(источник: AACFlow Docs: Academy, откроется в новой вкладке)Yes: AACFlow Academy is a dedicated structured-learning section of the docs site, separate from reference documentation and the API reference
OpenClaw
(источник: OpenClaw Docs home, откроется в новой вкладке)No: OpenClaw has no structured courses, certification program, or formal academy. Learning resources are the official documentation site (docs.openclaw.ai), the GitHub repository, and third-party community blog posts/guides, not a vendor-run curriculum.. No certification or structured learning-path product exists on official OpenClaw sources, consistent with it being a community open-source project rather than a vendor with a dedicated training business line.
Сильные стороны AACFlow
AI Copilot / Chat agent-building surface (источник: AACFlow Docs: Copilot, откроется в новой вкладке)
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 (источник: AACFlow codebase: KB schema + file-parsers, откроется в новой вкладке)
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 (источник: AACFlow Docs: MCP Deployment, откроется в новой вкладке)
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 (источник: AACFlow Docs: Workspace Forks, откроется в новой вкладке)
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 (источник: AACFlow Docs: Human in the Loop Block, откроется в новой вкладке)
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 (источник: AACFlow codebase: realtime presence handler, откроется в новой вкладке)
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.Задокументированные ограничения OpenClaw
Single-operator trust model. No multi-user RBAC or org-level admin controls (источник: OpenClaw Docs: Security, откроется в новой вкладке)
Designed for one trusted operator per install, not multi-user org admin controls.
OpenClaw's security documentation states its design assumes "one trusted operator boundary per gateway (single-user, personal-assistant model)," not hostile multi-tenant isolation. There is no role-based access control, org/team admin console, or per-user permission model comparable to a team collaboration platform.ClawHub marketplace has documented, ongoing supply-chain security incidents (источник: Securelist: Security risks for OpenClaw users and how to mitigate these risks, откроется в новой вкладке)
A single scan found 24 accounts distributing over 600 malicious ClawHub skills.
A Kaspersky/Securelist scan of the ClawHub skill hub in April 2026 identified 24 accounts distributing more than 600 malicious skills. In response, OpenClaw added preliminary VirusTotal and NVIDIA SkillSpector scanning to the skill-publishing pipeline, but its documentation still tells users to treat third-party skills as untrusted code.No visual drag-and-drop workflow builder, though a bundled webhooks plugin exists (источник: OpenClaw Docs: Webhooks plugin, откроется в новой вкладке)
No visual builder/canvas; a bundled Webhooks plugin does expose callable inbound HTTP routes.
OpenClaw is a chat-interface agent gateway, not a visual workflow/automation platform: it has no drag-and-drop canvas for composing multi-step logic. It does ship an official Webhooks plugin that exposes authenticated inbound HTTP routes on the Gateway, letting external systems (Zapier, n8n, CI jobs, internal services) POST JSON to create, drive, and manage OpenClaw TaskFlows, so it can be triggered and controlled via a callable endpoint, just not through any visual builder.No SOC 2 report or other compliance attestation (источник: OpenClaw Docs: Security, откроется в новой вкладке)
No SOC 2 report; the self-hosting operator owns all compliance risk.
OpenClaw has no OpenClaw-operated hosted service, only self-hosted software, and no SOC 2 report, trust center, or other compliance attestation is published anywhere on its official sites. AACFlow is SOC 2 compliant; like OpenClaw, AACFlow does not currently hold ISO 27001 or HIPAA certification. OpenClaw's own security documentation places responsibility for data-at-rest and processing security squarely on the operator running their own instance.Rapid rebranding and name churn created real confusion (источник: Wikipedia: OpenClaw, откроется в новой вкладке)
Four name changes in about ten weeks, including an Anthropic trademark dispute.
The project launched on November 24, 2025 as "Warelay," then went through "CLAWDIS" and "Clawdbot" before being renamed to "Moltbot" on January 27, 2026 after an Anthropic trademark complaint over similarity to "Claude," then to "OpenClaw" three days later. Four name changes in about ten weeks made it hard for users to know which name, repo, or site was the legitimate project.Итог
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 OpenClaw if you specifically need 22+ messaging channels as the primary interface: OpenClaw ships a multi-channel inbox connecting one assistant to WhatsApp, Telegram, Slack, Discord, Google Chat, Signal, iMessage, and Microsoft Teams, plus bundled plugin channels (shipped by default, not separately installed) including IRC, Matrix, Feishu, LINE, Mattermost, Nextcloud Talk, Nostr, Twitch, Zalo, and more. Users talk to the same agent from whichever chat app they already use, not a dedicated web builder UI.
Часто задаваемые вопросы
AACFlow is an AI workspace where teams build, deploy, and manage AI agents visually, conversationally, or with code. OpenClaw is a free, open-source, self-hosted personal AI agent that runs on a user's own machine or server and connects to messaging platforms (WhatsApp, Telegram, Slack, Discord, Signal, iMessage, Microsoft Teams, and others) as its primary interface, extensible via a Skills plugin system and the ClawHub marketplace. It is not a visual workflow/automation builder like AACFlow, n8n, or Power Automate. Teams considering a switch typically weigh pricing model, and how AI-native the platform's agent-building experience is.
