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12 Lessons to Get Started Building AI Agents

frameworkJupyter NotebookMIT
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OverviewActivity52wAlternativesDocs
Stars66.7k
Forks22.0k
HF Downloads30d
Last commit15d ago
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Project healthSlowingLast commit 15d ago.
Production readinessMVP-readySuitable for non-critical production use.
Risk notesMITVerify license before production use.
AgentHub Score
80 / 100
Composite score from 6 signals. How we score →
Active project
80Score
Growth
98A+
Activity
82B+
Documentation
50C
Maturity
94A+
Community
95A+
Production
58C
GitHub stars · 90 days66.7k +19.3%
30d90d1y
latest release
Commit activity · 52 weeksActive contributor activity
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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
LanguageJupyter Notebook
LicenseMIT
Sourcegithub
Open source✗ No
Commercial use
Docs
Demo
Paper

AgentHub Score

80
Score 80/100
Top performer

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