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Agent frameworks

Haystack

Component-and-pipeline architecture that keeps retrieval and deterministic application flow visible alongside agent behavior.

26,522 stars

Overview

Research summary

Haystack is an Apache-2.0 Python orchestration framework for production LLM applications. Its component-and-pipeline model lets developers explicitly connect retrieval, routing, generation, memory, tools and application logic instead of hiding the whole system inside one conversational agent loop. Current Haystack releases also support agent workflows, lifecycle hooks and multi-agent patterns, while retaining the retrieval and RAG capabilities for which the project became well known.

This makes it useful both for deterministic pipelines with selected model steps and for more autonomous agents that still need observable control flow. Components can integrate different model providers, document stores and external services, so the open framework does not impose one hosted AI backend. Deepset also offers commercial platform and support products; those services are separate from the Apache-2.0 license of the core Haystack repository.

Repository summary

Stars
26,522
Open issues
Unavailable
Last push
2026-09-16
Commits, 90 days
Unavailable
Repository activity
Not scored
Version
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Recorded catalogue figures. View repository data and provenance →

Classification

Pricing & services

Paid services available

The provider offers paid products or services. Free options may also be available.

Commercial offering checked 2026-10-02.

Licence scope

Implementation

Recorded implementation details and interfaces for Haystack.

Implementation details

Python component and pipeline framework

Languages
Python
Repository type
source

Recorded interfaces and capabilities

Licence scope

Repository

Repository snapshots, release information and recorded maintenance signals.

Repository snapshot

deepset-ai/haystack ↗

Stars
26,522
Open issues
Unavailable
Last push
2026-09-16
Commits, 90 days
Unavailable
Repository activity
Not scored
Archived
Not recorded

Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).

Maintenance and provenance

Catalogue snapshot
2026-10-06
Stars source
Recorded fallback
Last push source
Recorded fallback

Documentation

Recorded references and research provenance for this entry.

Recorded sources 12

Research metadata

Research date
2026-09-16
Catalogue snapshot
2026-10-06

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