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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.

Latest metrics (snapshot 2026-10-14)

stars26742
forks3283
issues153
pushed_at2026-10-14T16:14:59Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-1426742

ADC Momentum: 45/100

ADC Momentum 45 Leaderboard

Growth velocity41
Consistency33
Recency100
Agent demand0
Basisbootstrap

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

descriptionOpen-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.
urlhttps://github.com/deepset-ai/haystack
languagePython
licenseApache-2.0
topicsagent-framework
agentic-ai
agentic-rag
agents
ai
ai-agents
context-engineering
framework
genai
generative-ai
information-retrieval
large-language-models
created_at2019-11-14T09:05:28Z
homepagehttps://haystack.deepset.ai

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