haystack vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| haystack | ollama | |
|---|---|---|
| Tagline | Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 26k | 176k |
| Forks | 2.9k | 17k |
| Open issues | 112 | 3.4k |
| Language | MDX | Go |
| License | Apache-2.0 | MIT |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | Model Training, Inference & Serving, AI Agents | AI Agents, LLM Frameworks |
haystack
Deepset-ai/Haystack is an open-source library that enables the design and implementation of modular pipelines and agent workflows in AI projects. It supports retrieval augmented generation (RAG), multimodal applications, semantic search, question answering systems, summarization, and conversational interfaces with explicit control over aspects such as memory and context management.
MDX
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