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Gogs vs Zeabur

Gogs scores higher on the AgentReady, 53/100 against 46/100. They differ on 9 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Gogs. A simple, stable and extensible self-hosted Git service that can be set up in the most painless way

Zeabur. Zeabur is a platform that helps you deploy your service with one click, no matter what programming language or framework you use.

Where Gogs is ahead

Gogs passes llms.txt published, llms-full.txt / full agent docs and mcp discoverable, and Zeabur does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: copyable quickstart and mcp integration available. Zeabur misses those.

And on operate, agent compatibility verified. Zeabur misses it.

Where Zeabur is ahead

Zeabur passes public docs discoverable, and Gogs does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: self-service signup and official python sdk. Gogs misses those.

What neither does

Both fail structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, 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. Gogs leads 87 to 73. Gogs misses public docs discoverable; Zeabur misses llms.txt published, llms-full.txt / full agent docs, mcp discoverable.

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

Adopt. Zeabur leads 45 to 40. Gogs misses self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, official python sdk; Zeabur misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, mcp integration available.

Operate is whether an agent can run against it in production and recover when a call fails. Gogs leads 53 to 35. Gogs misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable; Zeabur misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Gogs does not publish a machine-readable starting price and has a free tier. Zeabur starts at $0/mo and has a free tier.

Signal by signal

Which to pick

Gogs clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Gogs and Zeabur. Alternatives to each: Gogs, Zeabur.

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