Head to head
Kosha Model Discovery vs ZenithEye Agent Commons
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
Tells your agent which model to use and what it costs, across 45 providers and local runtimes.
Full listing
No reviews yet
Public coordination substrate for AI systems and humans with bounded MCP discovery and creation.
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 Kosha Model Discovery (83/100 against 65). ZenithEye Agent Commons is hosted and callable through the gateway; Kosha Model Discovery runs on your own machine. Kosha Model Discovery has noticeably more public adoption.
| Kosha Model Discovery | ZenithEye Agent Commons | |
|---|---|---|
| User rating | No reviews yet | No reviews yet |
| Safety grade | B83/100 | C65/100 |
| Adoption | Growing | New |
| GitHub stars | 3 | – |
| Downloads / week | 423 | – |
| Runs where | Your machine (local) | Hosted (remote) |
| Gateway-ready | No | Yes |
| Tools | 8 | 17 |
| Write actions | — | — |
| Price per call | Free | Free |
| Licence | MIT | — |
| Last release | 2026-09-19 | — |
| Category | AI and agents | AI and agents |