Corporate memory, governed for AI agents.
Turn tribal knowledge into something your agents can trust.
Commit the knowledge that normally lives in people’s heads: the reasoning behind a decision, the exception someone granted years ago, the “why we actually do it this way” that never got written down. It becomes governed, attributable, searchable truth.
Digby is the source of truth your assistant answers from. Ask it anything your group has worked out or decided, and the answer comes back with the name of the person who contributed it, what it said before, and whether anyone has since disagreed.
Reach it from any MCP client: Claude, ChatGPT, Slack, an IDE. Everyone you share it with reads the same answers, whether that is a whole company or a few people who need to stay in step.
The server decides what gets in
A submission that contradicts something already agreed is held for a person, not written. The calling agent never makes that call: it is a governance boundary, and handing it to a client you do not control is not a boundary.
Every answer carries its provenance
Who wrote it, when, what it said before, and whether anyone has since reported it wrong. Entries under dispute stay usable and say so, because suppressing a contested fact leaves you with nothing.
One database per company
Not a tenant column. A routing mistake fails closed instead of leaking, because there is no shared table to leak from.
How it works
- 1Connect it. One endpoint in Claude, ChatGPT, an IDE, or Slack. Your directory decides who can read and who can write.
- 2Ask it things. Your assistant checks Digby before answering questions about how your company works, including the ones that sound generic, like expenses or dress code, where a sensible general answer is usually the wrong one.
- 3Let it learn. When someone works something out, it gets written down. If it contradicts what the team already agreed, a person decides which is right.