Flowise vs n8n
n8n scores higher on the AgentReady, 60/100 against 48/100. They differ on 10 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
Flowise. Open source generative AI development platform for building AI Agents and LLM workflows with visual builder, tracing & analytics, evaluations, human in the loop, API/CLI/SDK, and embedded chatbot capabilities
n8n. AI Workflow Automation Platform - the world's most popular workflow automation platform for technical teams
Where Flowise is ahead
Flowise passes limits / constraints documented, and n8n does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.
It also holds adopt: no mandatory sales call. n8n misses it.
Where n8n is ahead
n8n passes clear canonical domain, and Flowise does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds understand: pricing understandable. Flowise misses it.
And on adopt, self-service signup, agent-compatible signup flow, free trial or free allowance, fast time to first request and copyable quickstart. Flowise misses those.
Finally, on operate, observable execution. Flowise misses it.
What neither does
Both fail structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, programmatic credential creation, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified. If your agent needs any of those, you will be building it yourself either way.
Score, pillar by pillar
The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.
Discover. n8n leads 100 to 93. Flowise misses clear canonical domain; n8n misses nothing.
Understand. Both sit at 23/100 here. Flowise misses structured api reference, openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented; n8n misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.
Adopt is whether an agent can get a key and make its first successful call without a human in the loop. n8n leads 80 to 50. Flowise misses self-service signup, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart; n8n misses no mandatory sales call, programmatic credential creation.
Operate. n8n leads 35 to 24. Flowise misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; n8n misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.
Pricing
Flowise does not publish a machine-readable starting price. n8n starts at $20/mo and has a free tier.
| Flowise plans | n8n plans |
|---|---|
| - | Starter $20/mo, billed annually |
| - | Pro $50/mo, billed annually |
| - | Business $800/mo, billed annually |
| - | Enterprise Contact Sales |
| - | Start-up Plan 50% off Business |
| - | Community Edition Free |
Signal by signal
| Signal | Flowise | n8n |
|---|---|---|
| AgentReady | 48 | 60 |
| Discovery | 93 | 100 |
| Understanding | 23 | 23 |
| Adoption | 50 | 80 |
| Operability | 24 | 35 |
| Public API | Yes | Yes |
| MCP server | Yes | Yes |
| OpenAPI spec | Unknown | Unknown |
| CLI | Yes | Yes |
| llms.txt | Yes | Yes |
| Self-serve signup | Unknown | Yes |
| Free tier | Unknown | Yes |
Which to pick
n8n clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Flowise and n8n. Alternatives to each: Flowise, n8n.
An agent can fetch this as data: POST /v1/compare {"slugs": ["flowiseai", "n8n"]}