Head to head
adrkit decision memory vs Agent Core
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
Deterministic, offline, read-only ADR decision memory for coding agents. No model or network calls.
Full listingAgent Core
Aio.github.kinbinghua-lgtm/agent-core-mcpNo reviews yet
Deterministic computation tools for AI agents. Zero dependencies, no network, read-only.
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 (91 and 89 out of 100). adrkit decision memory has noticeably more public adoption.
| adrkit decision memory | Agent Core | |
|---|---|---|
| User rating | No reviews yet | No reviews yet |
| Safety grade | A91/100 | A89/100 |
| Adoption | Growing | Growing |
| GitHub stars | 16 | 0 |
| Downloads / week | 419 | 64 |
| Runs where | Your machine (local) | Your machine (local) |
| Gateway-ready | No | No |
| Tools | 4 | 15 |
| Write actions | — | — |
| Price per call | Free | Free |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-09-19 | 2026-09-11 |
| Category | AI and agents | AI and agents |