Learn how Envoy AI Gateway and LLM Gateway differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai gateways is best for you.
Last 30 days
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Repository age
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Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

LLM Gateway appears to have several advantages over Envoy AI Gateway, particularly in growth, licensing and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Both tools have similar popularity levels, with Envoy AI Gateway having 1,940 stars and LLM Gateway having 1,556 stars on GitHub. In terms of developer contributions, Envoy AI Gateway has 334 forks, indicating moderate developer engagement.
LLM Gateway is growing faster, adding 128 stars in the last 30 days (+9%) against adding 90 stars for Envoy AI Gateway (+4.9%). LLM Gateway is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Envoy AI Gateway last updated 13 hours ago and LLM Gateway 8 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: Envoy AI Gateway uses Python, Golang while LLM Gateway leverages Next.js.
Both projects started around the same time, with Envoy AI Gateway beginning 2 years ago and LLM Gateway 1 year ago.
LLM Gateway uses the MIT license, which is more permissive than Envoy AI Gateway's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in AI Gateways.
LLM Gateway provides self-hosting options for complete data control and customization, while Envoy AI Gateway may be primarily cloud-based or require different deployment approaches.