Assembly Line

Kvcached

Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond

Kvcached is an open-source local AI project on GitHub under the Apache-2.0 license (permissive), with 2k stars. It is built with CPython and LLVM project. Its last push was today.

Stars
2k
License
Apache-2.0
Activity
Active
Latest release
v0.1.6

Code on GitHub

Judgement

What it is
Building block
What it does
A library that gives LLM serving engines such as vLLM and SGLang an elastic, virtual-memory style KV cache so several models can share one GPU.
Adopt it when
You run multiple models on shared GPUs with bursty traffic and want better utilisation.
Watch out
Research-stage at version 0.1, and it hooks deeply into serving engine internals.
Ready for
Experimental
Runs as
Library
Built with
Python, C++, vLLM and SGLang
How established
Young: started 17 months ago, latest release v0.1.6.
What the license allows
You can build it into a product you sell, as long as you keep its copyright notice.

Judged on 2026-11-03 from the project's README and GitHub data. The license and age lines are worked out directly.

Built from

Follow it down: Kvcached → CPython → GCC → LLVM project → runs on a microchip

How compilers were built, back to punched paper tape

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Stars, license and activity come from GitHub and refresh on a rolling hourly schedule. The project's own description is quoted as written.