Agent harnesses
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.
★ 26,977 on GitHub · +8 today · last commit Nov 10, 2026
What it is
RAG/agent pipelines with context-engineering support
At a glance
- Vendor
- deepset
- Business model
- Open source
- License
- Apache-2.0
GitHub activity
This product has a public repository, so we read it nightly from the GitHub API. Stars measure developer attention, not quality or market share.
“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.” (repository description)
- Stars
- 26,977
- Change since last reading
- +8
- Forks
- 3,436
- Open issues
- 158
- Last commit
- Nov 10, 2026 (0 days ago)
- License (GitHub)
- Apache-2.0
Links and sources
- Official sitehaystack.deepset.ai
- GitHub repositorygithub.com/deepset-ai/haystack
Added nov 8, 2026. Vendor facts come from the vendor’s own pages; benchmark claims are self-reported unless we say otherwise.