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deepset-ai/haystackActive

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.

frameworkPythonApache-2.0
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OverviewActivity52wAlternativesDocs
Stars26.1k
Forks3.0k
HF Downloads—30d
Last commit3h ago
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Project healthActiveLast commit 3h ago.
Production readinessMVP-readySuitable for non-critical production use.
Risk notesApache-2.0Verify license before production use.
AgentHub Score
95 / 100
Composite score from 6 signals. How we score →
Active project
95Score
Growth
98A+
Activity
96A+
Documentation
70C+
Maturity
94A+
Community
95A+
Production
58C
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Practical assessment
Should you use it?

✓ Best for

  • Multi-agent orchestration
  • Production agentic workflows
  • Stateful long-running tasks

◎ Strengths

  • Stable API
  • Active release cadence
  • Strong GitHub community

✕ Not ideal for

  • Simple single-step automation
  • Teams without Python/ML expertise

⚠ Watch-outs

  • Breaking changes between minor versions
  • Ecosystem lock-in if tightly coupled
Technical details
What's inside
LanguagePython
LicenseApache-2.0
Sourcegithub
Open source✗ No
Commercial use—
Docs—
Demo—
Paper—

AgentHub Score

95
Score 95/100
Top performer

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