Explore/framework/ai-engineering-hub
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patchy631/ai-engineering-hubSlowing

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

frameworkJupyter NotebookMIT
GitHubCompare
Refreshed 3h ago
OverviewActivity52wAlternativesDocs
Stars38.3k
Forks6.3k
HF Downloads—30d
Last commit27d ago
Refreshed3h ago
Project healthSlowingLast commit 27d ago.
Production readinessMVP-readySuitable for non-critical production use.
Risk notesMITVerify license before production use.
AgentHub Score
83 / 100
Composite score from 6 signals. How we score →
Active project
83Score
Growth
98A+
Activity
82B+
Documentation
50C
Maturity
94A+
Community
95A+
Production
58C
GitHub stars · 73 days observed38.3k +2.32% / 30d
snapshots
Repository activity · 73 days observedReal snapshots from pushed_at
inactivepushed
2026-07-262026-10-08
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
LanguageJupyter Notebook
LicenseMIT
Sourcegithub
Open source✗ No
Commercial use—
Docs—
Demo—
Paper—

AgentHub Score

83
Score 83/100
Top performer

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Recent activity

Latest commit 27d ago27d ago
Indexed by AgentHub crawler3h ago
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