The same mistake gets rediscovered.
A failed path disappears with the session, so the next agent walks straight back into it and bills the team twice.
Your AI agents forget everything between sessions. memkith gives them persistent, shared memory so they stop repeating mistakes and start building on what your team already knows.
Every session starts cold. The useful fix, the rejected path, the hidden constraint, the last painful lesson: all of it falls out of memory the moment the context window resets.
A failed path disappears with the session, so the next agent walks straight back into it and bills the team twice.
Architecture notes, one-off fixes, and weird edge cases live in chat history until the window closes. Then they are gone.
What Cursor discovers never reaches Claude, CI, or the next teammate. Your org keeps paying to relearn the same codebase.
Based on internal benchmarks during development.