Explore/framework/Prompt-Engineering-Guide
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dair-ai/Prompt-Engineering-GuideStale

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

frameworkMDXMIT
GitHubCompare
Refreshed 2d ago
OverviewActivity52wAlternativesDocs
Stars75.4k
Forks8.2k
HF Downloads30d
Last commit3mo ago
Refreshed2d ago
Project healthStaleNo commits in 90d.
Production readinessMVP-readySuitable for non-critical production use.
Risk notesMITVerify license before production use.
AgentHub Score
74 / 100
Composite score from 6 signals. How we score →
Active project
74Score
Growth
98A+
Activity
50C
Documentation
50C
Maturity
94A+
Community
95A+
Production
58C
GitHub stars · 90 days75.4k +19.5%
30d90d1y
latest release
Commit activity · 52 weeksActive contributor activity
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JunSepDecMarNow
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
LanguageMDX
LicenseMIT
Sourcegithub
Open source✗ No
Commercial use
Docs
Demo
Paper

AgentHub Score

74
Score 74/100
Above average

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