Memory System
NEW in v6.8Research context that persists across sessions. No more re-explaining your project every time.
The Problem
Every AI session starts from scratch. You waste time re-explaining your research question, theoretical framework, and methodological choices.
The Solution
Diverga's Memory System automatically captures and retrieves relevant context, so your AI assistant remembers your research journey.
Five Memory Types
Each type serves a specific purpose in maintaining your research context:
Project Context
Research question, domain, scope constraints
Scope: Per projectDuration: Permanent
Session Memory
Conversation highlights, key decisions
Scope: Per sessionDuration: 7 days
Decision Log
Checkpoint selections, rationale
Scope: Per projectDuration: Permanent
Research Notes
Findings, insights, literature notes
Scope: Per projectDuration: Permanent
Tool Preferences
Analysis tools, visualization styles
Scope: GlobalDuration: Permanent
How It Works
1
Session Start
Relevant memories auto-loaded
2
Checkpoint
Decisions captured with context
3
Session End
Key insights saved
4
Agent Complete
Outputs summarized and stored
CLI Commands
memory-commands
/memory search "keyword"Search across all memories/memory listList recent memories/memory save "note"Manually save a note/memory clear sessionClear session memories