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.

Updated daily · last refreshed 2026-07-29

Stars
26,056
+2 this period ▼ 2
Forks
2,961
Open issues
108
Watchers
161

Primary language: Python · License: Apache-2.0

Homepage · View on GitHub

agentagentsaigeminigenerative-aigpt-4information-retrievallarge-language-modelsllmmachine-learningnlporchestration

Language breakdown

Python 98.3% HTML 1.6% Gherkin 0.1% Shell 0.0% HCL 0.0% Dockerfile 0.0%

Velona AI insight

The deepset-ai/haystack repository has a strong momentum with over 26,000 stars and a steady increase in recent activity, indicating a large and engaged community. However, it has a moderate number of open issues (108) which may require some effort to address, but overall the project appears to be well-maintained and actively developed.

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