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Project comparison
Agent Reach vs System Prompts And Models Of Ai Tools
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Agent Reach
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
19.2K
Stars
0
Weekly
72/100
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
Agent Reach is currently growing faster at 0 stars this week.
Maintenance
Agent Reach has the stronger health score at 72/100.
Side-by-side Metrics
| Signal | Agent Reach | System Prompts And Models Of Ai Tools |
|---|---|---|
| GitHub stars | 19.2K | 137.2K |
| Weekly growth | 0 | 0 |
| Health score | 72 | 42 |
| Contributors | 22 | 29 |
| Commits per week | 19.2 | 1.6 |
| Open issues | 35 | 140 |
| Language | Python | N/A |
| License | MIT | GPL-3.0 |
| Last commit | 29d ago | 2d ago |
| Last release | v1.4.0 | N/A |
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