Home Projects aisix-archived
aisix-archived
Rust

aisix-archived

An open source, Native AI Gateway and LLM proxy built in Rust

by api7 · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
aiai-gatewaygenerative-aiApache-2.0Rust
View on GitHub
In plain words

Use a fast and efficient gateway to connect with different AI services through a single API.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
aisix-archived — GitHub preview card
📈 Star history
6059
2026-07-202026-08-31
📈 Track aisix-archived

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

An open source, Native AI Gateway and LLM proxy built in Rust

aisix-archived has 59 stars on GitHub. It has been forked 9 times. aisix-archived is written mainly in Rust. It has been in active development since 2026. aisix-archived is available under the Apache-2.0 license. Its main topics are ai, ai-gateway, generative-ai, infrastructure.

Frequently asked questions

What is aisix-archived?

An open source, Native AI Gateway and LLM proxy built in Rust

Is aisix-archived open source?

aisix-archived is an open-source project. It is released under the Apache-2.0 license.

Is aisix-archived free?

Yes. aisix-archived is free and open source — you can use, modify and self-host it.

What license does aisix-archived use?

aisix-archived is available under the Apache-2.0 license.

What language is aisix-archived written in?

aisix-archived is written mainly in Rust.

🏅 Maintainer of this project?
olud.ai badge — aisix-archived

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=api7-aisix-archived)](https://olud.ai/project/api7-aisix-archived.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.