haystack-integrations — Agent Tool by deepset-ai

by deepset-ai · Agent Tool · ★ 111

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About haystack-integrations

Haystack Integrations This repository is an index of Haystack integrations that can be used with a Haystack Pipeline or Agent. These integrations are maintained by their respective owner or authors. You can browse them on the Haystack Integrations page, where you will find information on the Author(s), installation and usage of each tool. What are Haystack Integrations? Haystack Integrations are a Document Store, Model Provider, Custom Component, Monitoring Tool or Evaluation Framework that are either external packages or additional technologies that can be used with Haystack. Some integrations may be maintained by the deepset team, others are community contributions owned by the authors of the integration. Read more about Haystack Integrations in Introduction to Integrations. How to contribute To contribute, create a PR add an file to the directory.

aiai-toolscommunityllmmachine-learningnlpopen-source

Quick Facts

Stars111
Forks164
LanguageShell
CategoryAgent Tool
Quality Score42.04/100
Open Issues15
Last Updated2026-06-19
Created2023-03-27
Platformscli
Est. Tokens~11k

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Frequently Asked Questions

What is haystack-integrations?

haystack-integrations is 🚀 A list of Haystack Integrations, maintained by the community or deepset.. It is categorized as a Agent Tool with 111 GitHub stars.

What programming language is haystack-integrations written in?

haystack-integrations is primarily written in Shell. It covers topics such as ai, ai-tools, community.

How do I install or use haystack-integrations?

You can find installation instructions and usage details in the haystack-integrations GitHub repository at github.com/deepset-ai/haystack-integrations. The project has 111 stars and 164 forks, indicating an active community.

What are the best alternatives to haystack-integrations?

The top alternatives to haystack-integrations on Agent Skills Hub include free-ai-resources-x, MakeMoneyWithAI, create-llm. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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