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Project comparison
Ai Agents From Scratch vs System Prompts And Models Of Ai Tools
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Ai Agents From Scratch
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
3.5K
Stars
0
Weekly
24/100
Health
System Prompts And Models Of Ai Tools
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
137.2K
Stars
0
Weekly
42/100
Health
Quick Take
Adoption
System Prompts And Models Of Ai Tools has the larger GitHub footprint with 137.2K stars.
Momentum
Ai Agents From Scratch is currently growing faster at 0 stars this week.
Maintenance
System Prompts And Models Of Ai Tools has the stronger health score at 42/100.
Side-by-side Metrics
| Signal | Ai Agents From Scratch | System Prompts And Models Of Ai Tools |
|---|---|---|
| GitHub stars | 3.5K | 137.2K |
| Weekly growth | 0 | 0 |
| Health score | 24 | 42 |
| Contributors | 3 | 29 |
| Commits per week | 0.5 | 1.6 |
| Open issues | 10 | 140 |
| Language | JavaScript | N/A |
| License | MIT | GPL-3.0 |
| Last commit | 15d ago | 2d ago |
| Last release | N/A | N/A |
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