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Dhaystack
Author description: 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.
Popularity
Repository stars26,913Highest11,294
7-day net stars——
Fork3,384Highest1,211
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-11-022026-07-26
Maintenance notesNot verifiedNot verified
Repository created2019-11-142024-12-24
License & use
LicenseApache-2.0 · PermissiveMIT · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeRetrieval-augmented generationRetrieval-augmented generation · Workflow automation
TypeFrameworks & SDKsFrameworks & SDKs
SubcategoryAgent frameworksAgent frameworks
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonPython
About this projectAuthor description: 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.Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Measured at2026-11-02 18:58 UTC2026-11-02 19:02 UTC
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