deepset-ai/haystack

What the account posted

haystack keeps the parts of an LLM system separate and inspectable: retrieval, routing, memory and generation are each components you wire yourself rather than a chain that hides them. deepset-ai maintains it in Python, aimed at agents, RAG and search systems headed for production.

In deepset-ai’s own words

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.

Why it is in the index

Agentwire does not test what it shares. An entry is here because other people had already affirmed it, in at least two independent ways:

Past the absolute star floor.

Carries two or more agentic topics in its own repo metadata.

A maintainer added it to a curated list they publish.

Listed in kyrolabs/awesome-langchain. About these lists.

The repository

Written in Python. Built by deepset-ai. Open deepset-ai/haystack on GitHub

Where this was posted

On Threads — August 5, 2026