Why did we choose this?
Find the reasoning behind an architecture decision and return to the session where it was made.
Knowledge agents
Build a focused corpus from sessions, observations, and documents. Use it to investigate the decisions and discoveries behind a project.
In practice
Find the reasoning behind an architecture decision and return to the session where it was made.
Search related failures, changes, and discoveries before repeating an investigation.
Bring relevant history into a handoff. Inspect the source notes before relying on an answer.
Answers depend on the selected corpus and model. Check the cited source: memory can be incomplete, and generated summaries can be wrong.
Keep the useful part
Install the open-source engine. Add CMEM Pro when you want hosted observation and cloud sync.