head to head · open source

Ollama vs kvcached

Ollama has 181,765 GitHub stars, 18,010 forks, 3,957 open issues and last shipped yesterday. kvcached has 1,506 stars, 181 forks, 105 open issues and last shipped 2 days ago. Ollama leads on adoption by 11,969% (181,765 vs 1,506 stars). Ollama is written in Go under MIT; kvcached is written in Python under Apache-2.0. Ollama has attracted 10% as many forks as stars, kvcached 12%. Ollama 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.

Ollama ★ 182K kvcached ★ 1.5K category AI & Machine Learning

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Side by side

Ollama kvcached
GitHub stars ★ 182K ★ 1.5K
License MIT Apache-2.0
Written in Go Python
Last push 2026-09-26 2026-09-25
Forks ⑂ 18K ⑂ 181
Self-hosting Yes Yes
Data ownership Your server Your server

pick Ollama if

  • You weight community size — 182K stars and counting
  • You want the MIT license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full Ollama profile →

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

full kvcached profile →

About Ollama

Ollama is a Go based, MIT licensed runtime that downloads and runs open source large language models such as DeepSeek, Qwen, Gemma, GLM, MiniMax and gpt oss locally on a user's own machine, and it is aimed at developers and teams that want model inference without routing prompts through a hosted API.

read the full Ollama 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

OpenClaw ★ 391K Hermes Agent ★ 249K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K ponytail ★ 146K

Related comparisons

openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs odysseus ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs comfyui openclaw vs odysseus openclaw vs lobechat openclaw vs anythingllm openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail

More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

Ollama vs llama.cpp Ollama vs vllm Ollama vs GPT4All Ollama vs llama_index Ollama vs LocalAI Ollama vs faiss Ollama vs PageIndex Ollama vs Langfuse Ollama vs cognee Ollama vs taipy Ollama vs dagster Ollama vs zvec

Frequently asked questions

Is Ollama or kvcached more popular?

Ollama has 181,765 GitHub stars and kvcached has 1,506. Ollama has the larger community by that measure.

Are Ollama and kvcached free?

Both are open source. Ollama is licensed under MIT and kvcached under Apache-2.0. Neither carries a licence fee.

What is the difference between Ollama and kvcached?

Ollama 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, Ollama or kvcached?

Choose Ollama if you want the larger community (181,765 stars) or its MIT licence terms. Choose kvcached if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.