by deepset-ai · MCP Server · ★ 26.1k
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Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
| Stars | 26,142 |
| Forks | 2,980 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 62.9817129585272/100 |
| Open Issues | 83 |
| Last Updated | 2026-08-07 |
| Created | 2019-11-14 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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haystack is Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, m. It is categorized as a MCP Server with 26.1k GitHub stars.
haystack is primarily written in Python. It covers topics such as agent-framework, agentic-ai, agentic-rag.
You can find installation instructions and usage details in the haystack GitHub repository at github.com/deepset-ai/haystack. The project has 26.1k stars and 2980 forks, indicating an active community.
haystack is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to haystack on Agent Skills Hub include ragflow, voltagent, sdk-python. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.