head to head · open source
serviette vs kvcached
serviette has 58,708 GitHub stars, 1,549 forks, 8 open issues and last shipped 2 days ago. kvcached has 2,038 stars, 239 forks, 105 open issues and last shipped yesterday. serviette leads on adoption by 2,781% (58,708 vs 2,038 stars). serviette is written in Python under MIT; kvcached is written in Python under Apache-2.0. serviette has attracted 3% as many forks as stars, kvcached 12%. kvcached was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| serviette | kvcached | |
|---|---|---|
| GitHub stars | ★ 59K | ★ 2.0K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-10 | 2026-11-11 |
| Forks | ⑂ 1.5K | ⑂ 239 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick serviette if
- You weight community size — 59K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick kvcached if
- You want the kvcached feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and kvcached fits your workflow better
About serviette
serviette Looking for llm app templates? All templates, cookbooks and examples are still available in full in the Pathway repository under examples/llm app . A no code, always up to date RAG server for any vector database — built on the Pathway Live Data Framework. Point serviette at a folder of documents, pick a vector database and an embedder in one YAML file, and run two commands: you get a chat and a REST API that answer from those documents and cite their sources. From then on, any change to the documents — an edit, a new file, a deletion — is reflected in the answers within seconds. serviette runs on…
read the full serviette overview →
About kvcached
Make GPU Sharing Flexible and Easy kvcached (KV cache daemon) is a KV cache library for LLM serving/training on shared GPUs . By bringing OS style virtual memory abstraction to LLM systems, it enables elastic and demand driven KV cache allocation, improving GPU utilization under dynamic workloads. kvcached achieves this by decoupling GPU virtual addressing from physical memory allocation for KV caches. It allows serving engines to initially reserve virtual memory only and later back it with physical GPU memory when the cache is actively used. This decoupling enables on demand allocation and flexible sharing…
read the full kvcached overview →
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Frequently asked questions
Is serviette or kvcached more popular?
serviette has 58,708 GitHub stars and kvcached has 2,038. serviette has the larger community by that measure.
Are serviette and kvcached free?
Both are open source. serviette is licensed under MIT and kvcached under Apache-2.0. Neither carries a licence fee.
What is the difference between serviette and kvcached?
serviette is written in Python and kvcached in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, serviette or kvcached?
Choose serviette if you want the larger community (58,708 stars) or its MIT licence terms. Choose kvcached if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.