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Riverqueue vs Temporal

Temporal scores higher on the AgentReady, 46/100 against 45/100. They differ on 8 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Riverqueue. Fast and reliable background jobs in Go.

Temporal. Temporal is an open-source platform for building applications with durable execution, used by companies like OpenAI, Lovable, Replit, Cursor, and Retool to add agentic capabilities to applications.

Where Riverqueue is ahead

Riverqueue passes limits / constraints documented, and Temporal 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 and official python sdk. Temporal misses those.

And on operate, retry behavior documented. Temporal misses it.

Where Temporal is ahead

Temporal passes authentication documented, and Riverqueue 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: self-service signup and fast time to first request. Riverqueue misses those.

And on operate, observable execution. Riverqueue misses it.

What neither does

Both fail clear product positioning, mcp discoverable, structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, agent-compatible signup flow, programmatic credential creation, mcp integration available, structured, predictable output, machine-readable errors, 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. Both sit at 73/100 here. Riverqueue misses clear product positioning, mcp discoverable; Temporal misses clear product positioning, mcp discoverable.

Understand. Both sit at 31/100 here. Riverqueue misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented; Temporal misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Riverqueue leads 48 to 45. Riverqueue misses self-service signup, agent-compatible signup flow, programmatic credential creation, fast time to first request, mcp integration available; Temporal misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, official python sdk, mcp integration available.

Operate is whether an agent can run against it in production and recover when a call fails. Temporal leads 35 to 29. Riverqueue misses structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Temporal misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Riverqueue does not publish a machine-readable starting price and has a free tier. Temporal starts at $100/mo and has a free tier.

Signal by signal

Which to pick

Signal counts are level here, so fit and price decide it. Full profiles: Riverqueue and Temporal. Alternatives to each: Riverqueue, Temporal.

An agent can fetch this as data: POST /v1/compare {"slugs": ["riverqueue", "temporal"]}