Explore/framework/haystack
H

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
GitHubCompare
Refreshed 5h ago
OverviewActivity52wAlternativesDocs
Stars26.5k
Forks3.1k
HF Downloads30d
Last commit15h ago
Refreshed5h ago
Project healthActiveLast commit 15h 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
GitHub stars · 44 days observed26.5k +1.13% / 30d
snapshots
Repository activity · 44 days observedReal snapshots from pushed_at
inactivepushed
2026-08-032026-09-17
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

Alternatives

E
ECC
260.6k · framework
95
H
hermes-agent
246.3k · framework
95
P
ponytail
140.7k · framework
95
C
cc-switch
133.3k · framework
95
Compare all →

Recent activity

Latest commit 15h ago15h ago
Indexed by AgentHub crawler5h ago
Monitor for new releasesongoing