How Decision Cartography compares
There are several ways to get AI to work the way your team does. Here is how they differ, by approach rather than by product.
| Approach | Decision Cartography | Memory built into an AI toole.g. ChatGPT memory, Claude memory | Memory APIs and serverse.g. Mem0, Supermemory, Zep | Team knowledge basese.g. Guru, Notion | Instruction filese.g. Custom instructions, AGENTS.md |
|---|---|---|---|---|---|
| Works across AI vendors | Yes | No | Yes | Often, through connectors | Copied by hand into each tool |
| Shared across a team | Yes, with a team rulebook | Within one vendor’s workspace, where offered | Built by developers into their own apps | Yes | Per repository or per person |
| Captured from the corrections you already make | Yes | Yes | Depends on the app built on it | No: people write and maintain articles | No: people write them |
| Keeps one current version of each decision | Yes: repeats merge, newer decisions replace older ones | Varies | Varies | People keep articles up to date | People edit the file |
| Risky saves wait for a person to confirm | Yes | Not that we know of | Not that we know of | Through review workflows | Through code review |
| Who sets it up | Each person connects their assistants | Nothing to set up | Developers | Admins and authors | Whoever owns the file |
Based on public information as of October 2026. Products change; if something here is wrong, tell us and we’ll fix it.