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haystack

deepset-ai/haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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27k stars3.1k forksLast push Sep 18, 2026 Python Apache-2.0

Decision brief

Haystack is an open-source AI orchestration framework for building scalable AI applications, including agents, RAG systems, and conversational systems, with explicit control over retrieval, routing, memory, and generaton

Good fit when

  • When you need explicit control over retrieval, routing, memory, and generation processes in your AI applications
  • For building scalable agents, RAG systems, multimodal applications, semantic search, and conversational systems

Avoid when

  • If you require a framework that integrates tightly with a specific set of pre-defined models and does not offer the flexibility to customize retrieval and generation processes
  • When your project does not require the scalability and explicit control over AI processes that Haystack provides, and a simpler, more streamlined solution is preferred
Requirements:
Requires Docker; Supports multiple installation methods, including Docker images

Observed Sep 18, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of Sep 18, 2026
Provenance
Not a fork · Organization account
As of Sep 18, 2026
Security (OSV)
No criticals
As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install haystack
PyPI

How it fits your stack(24)

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Evidence and technical details

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Overview

Haystack is an open-source framework designed for building scalable AI applications, including agents, RAG systems, and conversational systems. It supports modular pipeline design and explicit control over retrieval, routing, memory, and generation processes.

Capability facts

Languages
python

Source: github.language+pyproject.toml · Sep 18, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 18, 2026)

pip install haystack-ai
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README

Installation The simplest way to get Haystack is via pip: Install nightly pre releases to try the newest features: Haystack supports multiple installation methods, including Docker images. For a comprehensive guide, please refer to the documentation.

For agents

This page has a .md twin and JSON over the API.

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