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Project comparison
Ragflow vs System Prompts And Models Of Ai Tools
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Ragflow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
80.3K
Stars
0
Weekly
80/100
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
Ragflow is currently growing faster at 0 stars this week.
Maintenance
Ragflow has the stronger health score at 80/100.
Side-by-side Metrics
| Signal | Ragflow | System Prompts And Models Of Ai Tools |
|---|---|---|
| GitHub stars | 80.3K | 137.2K |
| Weekly growth | 0 | 0 |
| Health score | 80 | 42 |
| Contributors | 575 | 29 |
| Commits per week | 68.1 | 1.6 |
| Open issues | 3.0K | 140 |
| Language | Python | N/A |
| License | Apache-2.0 | GPL-3.0 |
| Last commit | 1d ago | 2d ago |
| Last release | v0.25.2 | N/A |
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