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Project comparison
system-prompts-and-models-of-ai-tools vs ragflow
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
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
Best matched with other agent tools.
144.0K
Stars
+5.0K
Weekly
63/100
Health
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
Best matched with other agent tools.
91.7K
Stars
+5.4K
Weekly
95/100
Health
Quick Take
Adoption
system-prompts-and-models-of-ai-tools has the larger GitHub footprint with 144.0K stars.
Momentum
ragflow is currently growing faster at +5.4K stars this week.
Maintenance
ragflow has the stronger automated maintenance signal at 95/100. This is not a security or fit verdict.
Side-by-side evidence
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | system-prompts-and-models-of-ai-tools | ragflow |
|---|---|---|
| Evidence status | Verified snapshot· 2026-10-04 09:19 UTC | Verified snapshot· 2026-10-04 09:19 UTC |
| GitHub stars | 144.0K | 91.7K |
| Weekly growth | +5.0K | +5.4K |
| Health score | Healthy63/100 | Strong95/100 |
| Contributors | 31 | 681 |
| Commits per week | 1.8 | 133.2 |
| Open issues | 157 | 2.1K |
| Language | N/A | Go |
| License | GPL-3.0 | Apache-2.0 |
| Last commit | 2026-08-11 13:01 UTC | 2026-10-04 04:08 UTC |
| Last release | N/A | v0.26.4 |
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