head to head · open source
LocalAI vs kvcached
LocalAI has 49,283 GitHub stars, 4,474 forks, 201 open issues and last shipped yesterday. kvcached has 1,506 stars, 181 forks, 105 open issues and last shipped 2 days ago. LocalAI leads on adoption by 3,172% (49,283 vs 1,506 stars). LocalAI is written in Go under MIT; kvcached is written in Python under Apache-2.0. LocalAI has attracted 9% as many forks as stars, kvcached 12%. LocalAI 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.
← all 20902 open source comparisons
Side by side
| LocalAI | kvcached | |
|---|---|---|
| GitHub stars | ★ 49K | ★ 1.5K |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-09-26 | 2026-09-25 |
| Forks | ⑂ 4.5K | ⑂ 181 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LocalAI if
- You weight community size — 49K stars and counting
- You want the MIT license terms
- Your stack matches Go
- 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 LocalAI
LocalAI is an open source AI runtime that enables running large language models (LLMs), vision, audio, image, and video models locally or on premises. It operates as a modular engine where each model type is backed by a dedicated, lightweight backend—such as llama.cpp, whisper.cpp, or stable diffusion—pulled only when needed. This composable architecture avoids bundling unnecessary dependencies, keeping the core minimal while supporting diverse modalities and hardware configurations.
read the full LocalAI overview →
About kvcached
kvcached is an Apache 2.0 Python library that gives LLM serving engines a virtual memory style, elastic KV cache, letting several models share one GPU's memory instead of partitioning it rigidly — it is built for ML infrastructure and platform engineers who serve LLMs on shared or capacity constrained GPUs.
read the full kvcached overview →
More in AI & Machine Learning
Related comparisons
More Machine Learning Infrastructure projects
Compare either of these against the rest of the Machine Learning Infrastructure field.
Frequently asked questions
Is LocalAI or kvcached more popular?
LocalAI has 49,283 GitHub stars and kvcached has 1,506. LocalAI has the larger community by that measure.
Are LocalAI and kvcached free?
Both are open source. LocalAI is licensed under MIT and kvcached under Apache-2.0. Neither carries a licence fee.
What is the difference between LocalAI and kvcached?
LocalAI is written in Go 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, LocalAI or kvcached?
Choose LocalAI if you want the larger community (49,283 stars) or its MIT licence terms. Choose kvcached if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.