# Haystack

> AI orchestration for production LLM apps

Modular pipelines and agent workflows with retrieval and routing.

- Source: https://github.com/deepset-ai/haystack
- Homepage: https://haystack.deepset.ai
- License: Apache-2.0
- Language: Python
- Stars: 26646
- Forks: 3221
- Contributors: 494
- Last commit: 2026-10-02
- Latest release: v3.3.0 (2026-10-01)
- Purpose: AI & LLM tooling, Agents & frameworks, RAG & vector DBs
- Runs on: Library / SDK
- For: Enterprise

## Worth score: 81/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 22/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 13/15
- Readiness: 11/15

## Alternatives

- [LlamaIndex](https://diggithub.com/run-llama/llama_index.md): Data framework for LLM applications and agents
- [gpt-researcher](https://diggithub.com/assafelovic/gpt-researcher.md): Autonomous deep research agent for web and local documents
- [LangChain4j](https://diggithub.com/langchain4j/langchain4j.md): LLM apps on the JVM
- [DeepSearcher](https://diggithub.com/zilliztech/deep-searcher.md): Deep research on private data
- [Dify](https://diggithub.com/langgenius/dify.md): Build, run and monitor LLM apps and agent workflows
- [MaxKB](https://diggithub.com/1Panel-dev/MaxKB.md): Platform for enterprise agents
- [DocsGPT](https://diggithub.com/arc53/DocsGPT.md): Private AI platform for agents and search
- [Local Deep Research](https://diggithub.com/LearningCircuit/local-deep-research.md): Deep research with local or cloud LLMs

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Source page: https://diggithub.com/deepset-ai/haystack
Updated: 2026-10-03