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.
deepset-ai/haystack is drawing steady momentum at +9.1 stars/day (68th percentile in the tracked cohort), for a momentum score of 47.1/100. A recent release is helping fuel the run.
Release count rose to 253.
Release count rose to 252.
Release count rose to 249.
Live score, refreshed every 6 hours. Links back to this page.
[](https://repoclimb.com/repo/deepset-ai/haystack)Low breakout odds over the next 14 days, led by push recency (99th pctl) and fork velocity (87th pctl). Confidence is high given the available history.
Transparent heuristic · logged for model training
Percentile rank within the tracked cohort. The score self-calibrates — it answers “accelerating vs. everything else,” not raw size.
Reconstructed from 384 snapshots — the time-series GitHub’s API doesn’t expose.
Release count rose to 248.
Release count rose to 247.
Release count rose to 245.
Release count rose to 244.
~40 forks/day, 8.4× the trailing baseline.
~10 forks/day, 3.6× the trailing baseline.
~15 forks/day, 3.3× the trailing baseline.
~15 forks/day, 3.1× the trailing baseline.
~19 forks/day, 6.3× the trailing baseline.