Comparison

koigrid vs AWS SQS

A durable message queue in one API call — the agent-native alternative to AWS SQS.

SQS is solid but priced per request across queues, and wiring it up means IAM policies, the console and a per-request bill that is hard to predict. koigrid Queues give you the same durable, at-least-once model — visibility timeout, retries and dead-letter — with no per-request fee, created from one API call by you or your agent.

FeaturekoigridAWS SQS
Pricing modelIncluded (no per-request fee)Per request + data transfer
DeliveryAt-least-once + visibility timeoutAt-least-once + visibility timeout
Dead-letterBuilt in (maxReceives)Separate DLQ + redrive policy
SetupOne API call / your AI agentIAM, policies, console
Lock-inNone (portable Postgres model)AWS-specific API + IAM

What koigrid improves

No per-request fee

Queues are included — no per-request bill to model.

Agent-native

Create a queue and send/receive from Claude Code or any LLM via one API + scoped token.

Dead-letter built in

Set maxReceives on the queue — poison messages stop being redelivered, no separate DLQ + redrive policy.

Frequently asked questions

Is koigrid cheaper than AWS SQS?

It depends on the workload. koigrid charges for the RAM and disk you reserve, by the hour, shared vCPU included, from a public price list — with bandwidth included and no per-request fees. Egress-heavy setups usually come out well ahead; see the estimate above.

Can I migrate from AWS SQS without lock-in?

Yes. koigrid runs on portable primitives — standard PostgreSQL, S3-compatible storage and containers — so you can move in (or out) whenever you want.

Where is my data hosted?

In data centers in the EU, on servers we run ourselves. The privacy policy says exactly where.

Can I run everything from an API or an AI agent?

Yes — koigrid is API-first and agent-native: every action has an API and a scoped token, with llms.txt and OpenAPI so an LLM can operate it end to end.