deepset-ai/haystack
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.
- Active development
- Recently released v3.1.1
- Documentation with live examples
- Present in 2 independent sources
- Maintained for 6+ years
- AIHigh star count (26k+) and active development with 749 commits in the last 90 days.
- AIEstablished open-source project created in 2019 with a large contributor base (447 contributors).
- AIProvides comprehensive documentation, CI/CD badges, and enterprise support options.
- AIFocuses on context engineering and modular agent workflows, which are key trends in LLM application development.
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Haystack is an open-source Python framework for building production-ready LLM applications, RAG systems, and agent workflows with modular pipelines. It provides explicit control over retrieval, routing, and generation, supporting various LLM providers and deployment options.
Type: — · appears open source · long-term relevance: yes
Generated from the sources below; where they disagree, the sources win.
- GitHub ↗observed Sep 8, 2026
- GitHub ↗observed Sep 8, 2026
- GitHub ↗observed Sep 8, 2026
- Official website ↗observed Sep 8, 2026
- Sep 8, 2026★ 26,437v3.1.1
- Sep 8, 2026GitHub avatar
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