Head to head
llmtrim vs Kosha Model Discovery
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
MCP server and proxy that compresses LLM prompts, tool output, and replies to cut token cost.
Full listing
No reviews yet
Tells your agent which model to use and what it costs, across 45 providers and local runtimes.
Full listingThe short version
Neither has been reviewed yet, so the comparison rests on the scan and the public usage numbers. The safety scan favours llmtrim (92/100 against 83). llmtrim has noticeably more public adoption.
| llmtrim | Kosha Model Discovery | |
|---|---|---|
| User rating | No reviews yet | No reviews yet |
| Safety grade | A92/100 | B83/100 |
| Adoption | Established | Growing |
| GitHub stars | 236 | 3 |
| Downloads / week | 220 | 423 |
| Runs where | Your machine (local) | Your machine (local) |
| Gateway-ready | No | No |
| Tools | — | 8 |
| Write actions | — | — |
| Price per call | Free | Free |
| Licence | MPL-2.0 | MIT |
| Last release | 2026-09-16 | 2026-09-19 |
| Category | AI and agents | AI and agents |