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.

24.8k 2.7k +7/wk

GitHub PyPI 2-source

GitHub 📦 PyPI

agent agents ai gemini generative-ai gpt-4 information-retrieval large-language-models llm machine-learning nlp orchestration

Trend 11

Star & Fork Trend (52 data points)

Stars

Forks

Multi-Source Signals

Growth Velocity

deepset-ai/haystack has +7 stars this period , with cross-source activity across 2 platforms (github, pypi). 7-day velocity: 0.1%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	haystack	graphiti	PageIndex	Hands-On-Large-Language-Models
Stars	24.8k	24.6k	24.6k	24.9k
Forks	2.7k	2.5k	2.1k	5.8k
Weekly Growth	+7	+38	+100	+30
Language	MDX	Python	Python	Jupyter Notebook
Sources	2	2	2	1
License	Apache-2.0	Apache-2.0	MIT	Apache-2.0

Capability Radar vs graphiti

haystack

graphiti

Maintenance Activity 100

Last code push 0 days ago.

Community Engagement 55

Fork-to-star ratio: 10.9%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 42

+7 stars this period — 0.03% growth rate.

License Clarity 95

Licensed under Apache-2.0. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.