Activepieces vs Windmill
Windmill scores higher on the AgentReady, 64/100 against 63/100. They differ on 12 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
Activepieces. AI automation platform that lets teams build agents and automations through chat, with enterprise-grade governance and 760+ integrations
Windmill. Windmill is a fast, open-source workflow engine and developer platform.
Where Activepieces is ahead
Activepieces passes mcp discoverable, and Windmill does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds understand: authentication documented. Windmill misses it.
And on adopt, mcp integration available. Windmill misses it.
Finally, on operate, structured, predictable output, retry behavior documented and idempotency support. Windmill misses those.
Where Windmill is ahead
Windmill passes llms-full.txt / full agent docs, and Activepieces does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds understand: structured api reference and limits / constraints documented. Activepieces misses those.
And on adopt, agent-compatible signup flow, official typescript sdk and official python sdk. Activepieces misses those.
What neither does
Both fail openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, programmatic credential creation, machine-readable errors, rate-limit behavior predictable. 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. Activepieces leads 93 to 87. Activepieces misses llms-full.txt / full agent docs; Windmill misses mcp discoverable.
Understand. Windmill leads 46 to 31. Activepieces misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Windmill misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.
Adopt. Windmill leads 67 to 52. Activepieces misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, official typescript sdk, official python sdk; Windmill misses no mandatory sales call, programmatic credential creation, mcp integration available.
Operate is whether an agent can run against it in production and recover when a call fails. Activepieces leads 76 to 56. Activepieces misses machine-readable errors, rate-limit behavior predictable; Windmill misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable.
Pricing
Activepieces does not publish a machine-readable starting price and has a free tier. Windmill does not publish one and has a free tier.
Signal by signal
| Signal | Activepieces | Windmill |
|---|---|---|
| AgentReady | 63 | 64 |
| Discovery | 93 | 87 |
| Understanding | 31 | 46 |
| Adoption | 52 | 67 |
| Operability | 76 | 56 |
| Public API | Yes | Yes |
| MCP server | Yes | No |
| OpenAPI spec | Unknown | Yes |
| CLI | Yes | Yes |
| llms.txt | Yes | Yes |
| Self-serve signup | Yes | Yes |
| Free tier | Yes | Yes |
Which to pick
Signal counts are level here, so fit and price decide it. Full profiles: Activepieces and Windmill. Alternatives to each: Activepieces, Windmill.
An agent can fetch this as data: POST /v1/compare {"slugs": ["activepieces", "windmill"]}