head to head · open source
vllm vs knowhere
vllm has 92,028 GitHub stars, 22,335 forks, 7,953 open issues and last shipped yesterday. knowhere has 3,341 stars, 318 forks, 40 open issues and last shipped yesterday. vllm leads on adoption by 2,655% (92,028 vs 3,341 stars). vllm is written in Python under Apache-2.0; knowhere is written in Python under Apache-2.0. vllm has attracted 24% as many forks as stars, knowhere 10%. vllm was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| vllm | knowhere | |
|---|---|---|
| GitHub stars | ★ 92K | ★ 3.3K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 22K | ⑂ 318 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick vllm if
- You weight community size — 92K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick knowhere if
- You want the knowhere 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 knowhere fits your workflow better
About vllm
vLLM is a high throughput, memory efficient Python library for LLM inference and serving, built for ML engineers and platform teams who need to run open weight models on their own hardware at production scale.
About knowhere
Knowhere is an Apache 2.0 Python document parsing and retrieval system that turns complex, dirty files into persistent, navigable memory for AI agents and RAG pipelines, built for developers and teams assembling Agentic RAG, vector based RAG, or other LLM workflows over local and offline document collections.
read the full knowhere overview →
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Frequently asked questions
Is vllm or knowhere more popular?
vllm has 92,028 GitHub stars and knowhere has 3,341. vllm has the larger community by that measure.
Are vllm and knowhere free?
Both are open source. vllm is licensed under Apache-2.0 and knowhere under Apache-2.0. Neither carries a licence fee.
What is the difference between vllm and knowhere?
vllm is written in Python and knowhere 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, vllm or knowhere?
Choose vllm if you want the larger community (92,028 stars) or its Apache-2.0 licence terms. Choose knowhere if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.