RadixAttention for automatic prefix-cache reuse across requests
Day-0 support for newly released open models (e.g. Kimi K3) among the fastest of any runner
Scales from single GPU to distributed multi-node clusters with speculative decoding
SGLang — straight answers
What is SGLang?
SGLang is listed under Local LLM Runners, in the AI Models & Local Execution category on Flocci AI Tools. RadixAttention for automatic prefix-cache reuse across requests. It is free, with no paid plan attached, and it lives at github.com.
Is SGLang free?
SGLang is listed as fully free — there is no paid tier attached to it in the catalog. That makes it one of the 396 entries on Flocci AI Tools with no upgrade path built in.
Can I use SGLang in a browser, or is there an app?
SGLang needs to be installed or self-hosted — it doesn't run in a browser tab. It is available on the command line, self-hosting, an API and Linux.
What can SGLang do?
SGLang does 3 things the catalog singles out: Radixattention for automatic prefix-cache reuse across requests; day-0 support for newly released open models (e.g. kimi k3) among the fastest of any runner; scales from single gpu to distributed multi-node clusters with speculative decoding.
What is the best free alternative to SGLang?
AnythingLLM is the closest free alternative: it sits in the same Local LLM Runners sub-category and is free. BitNet, exo and Google AI Edge Gallery also start free. The full list is on the alternatives page.