Current Rovo Agents primarily rely on prompts and retrieved context during execution.
As enterprise workflows become longer and more complex, should Rovo introduce a persistent memory architecture that stores verified organizational knowledge independently of each conversation?
How should Atlassian balance:
Context Window
Retrieval (RAG)
Long-term Memory
Organizational Knowledge Graph
without introducing hallucinations or stale memory?