Productivity · Head-to-head
n8n vs OpenClaw
n8n (freemium, AI Score 8.7/10) vs OpenClaw (free, AI Score 8.2/10). Side-by-side pricing, features, pros and cons, and which to pick.
The verdict
Pick n8n if…
- →overall capability matters more than price (AI Score 8.7 vs 8.2)
- →your primary use case is developer-adjacent ops and engineering teams who want ai agents and internal integrations running on infrastructure they control, with server costs instead of a per-task meter.
Pick OpenClaw if…
- →budget is the constraint
- →your primary use case is technically confident individuals who already self-host and want an always-on personal agent handling email, calendar, and files from their phone — not teams that need sso, audit logs, or a service someone else keeps running.
Side-by-side specs
| Spec | n8n | OpenClaw |
|---|---|---|
| Category | Productivity | Productivity |
| Pricing model | freemium | free |
| Headline pricing | Free self-hosted + Cloud from ~$20/mo | Free (open source) — you pay only for model access |
| Free tier | Community edition is free and self-hosted with unlimited workflows and executions; you pay only for the server. Cloud plans have a time-limited trial. Cloud tier prices and execution allowances change periodically — check n8n.io/pricing before quoting them. | The software itself is free and open source with no usage limits. Running cost depends entirely on the model you attach: a frontier API key is billed by your provider, and a local model through Ollama costs nothing beyond your own hardware and electricity. |
| AI Score | 8.7/10 | 8.2/10 |
| Best for | Developer-adjacent ops and engineering teams who want AI agents and internal integrations running on infrastructure they control, with server costs instead of a per-task meter. | Technically confident individuals who already self-host and want an always-on personal agent handling email, calendar, and files from their phone — not teams that need SSO, audit logs, or a service someone else keeps running. |
| Editor's pick | — | — |
| Use cases | productivity agents development | agents productivity development |
| Date added | 2025-08-01 | 2026-04-30 |
Pros and cons
n8n
Productivity · freemium
Pros
- ✓Self-hosted community edition runs unlimited workflows and executions for infrastructure cost only, with no per-task meter
- ✓Model-agnostic AI nodes span OpenAI, Anthropic, Google, Mistral, Groq and xAI plus local models via Ollama, so an agent can run with zero external API calls
- ✓MCP support works both ways — consume external MCP servers as agent tools, or expose a workflow as an MCP server to outside assistants
- ✓Code node runs JavaScript or Python inline, so a missing connector is solvable rather than blocking
- ✓Large public template library and an unusually active community, which shortens the path from idea to working workflow
Cons
- ×Fair-code, not open source — the Sustainable Use License bars offering it as a service, and SSO, RBAC, environments and log streaming are gated behind the enterprise license
- ×Running it seriously means queue mode with Redis and worker containers; the one-container Docker demo does not survive real agent load
- ×Cloud plans meter by execution, and an agent that retries and branches burns through an allowance far faster than the old two-step automations those tiers were sized for
- ×Steeper than Zapier or Make for non-developers — expression syntax and n8n's item-array data model are where most newcomers get stuck
OpenClaw
Productivity · free
Pros
- ✓No licence, seat, or subscription cost, and paired with a local model through Ollama the ongoing running cost can genuinely be zero
- ✓Messaging-app control means you can hand it work from your phone without a dashboard, VPN, or terminal session
- ✓Model-agnostic by design — swap between local open-weights models, a frontier API key, or a provider subscription plan without changing tools
- ✓Local-first architecture keeps credentials, mail, and files on hardware you control rather than a vendor's cloud
- ✓Covers personal-life automation such as email, calendar, and file work that the repo-scoped coding agents in its class do not touch
Cons
- ×Broad standing privileges over email, browser, and shell make it a serious attack surface, and prompt injection remains an unsolved problem for agents of this kind
- ×Real setup burden — dependencies, per-channel messaging auth, model configuration, and ongoing maintenance all fall on you
- ×No managed or hosted option, no audit trail, and no support contract, so availability is entirely your own responsibility
- ×Fast-moving codebase with breaking changes and uneven documentation, which makes unattended long-term operation harder than it first looks
Related comparisons
Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.