airweave vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| airweave | ollama | |
|---|---|---|
| Tagline | Open-source context retrieval layer for AI agents | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 6.5k | 176k |
| Forks | 813 | 17k |
| Open issues | 132 | 3.4k |
| Language | Python | Go |
| License | MIT | MIT |
| Last pushed | Jun 5, 2026 | Jul 7, 2026 |
| Categories | Inference & Serving, AI Agents | AI Agents, LLM Frameworks |
airweave
Airweave is an open-source project designed to provide a robust context retrieval layer for AI agents and Retrieval-Augmented Generation (RAG) systems.
Python
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