ollama vs LEANN
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| ollama | LEANN | |
|---|---|---|
| Tagline | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. | RAG on Everything with LEANN |
| Stars | 176k | 13k |
| Forks | 17k | 1.1k |
| Open issues | 3.4k | 44 |
| Language | Go | Python |
| License | MIT | MIT |
| Last pushed | Jul 7, 2026 | Jul 3, 2026 |
| Categories | AI Agents, LLM Frameworks | Data & Retrieval, Vector Databases |
ollama
Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.
Go
LEANN
LEANN is an innovative vector database designed to transform personal devices into efficient, private RAG (Retrieval-Augmented Generation) systems. It offers significant storage savings and operates entirely offline.
Python