Head to head
AI Model Retirement Lint vs Local Rag
Same numbers we show everywhere else, lined up. Ratings come from users, the grade comes from our scanner, adoption comes from public registries.
No reviews yet
Finds the LLM model IDs pinned in your code that vendors have already switched off, or have dated to
Full listingThe short version
Neither has been reviewed yet, so the comparison rests on the scan and the public usage numbers. Both score close on the safety scan (89 and 92 out of 100). Local Rag has noticeably more public adoption.
| AI Model Retirement Lint | Local Rag | |
|---|---|---|
| User rating | No reviews yet | No reviews yet |
| Safety grade | A89/100 | A92/100 |
| Adoption | New | Established |
| GitHub stars | 0 | 400 |
| Downloads / week | – | 4.8k |
| Runs where | Your machine (local) | Your machine (local) |
| Gateway-ready | No | No |
| Tools | — | 9 |
| Write actions | — | 1 |
| Price per call | Free | Free |
| Licence | NOASSERTION | MIT |
| Last release | 2026-09-19 | 2026-09-18 |
| Category | AI and agents | AI and agents |