Memory System
The Arjux memory system enables agents to maintain context and remember past interactions, creating more natural and coherent conversations.
Two-Tier Memory
Conversation Memory (24-hour): Recent interactions and context
Long-term Memory (30-day): Important events and actions
How It Works
The memory system uses Cloudflare KV for persistent storage:
- Automatically stores all conversations
- Tracks important events and actions
- Provides context for each interaction
- Handles multiple users independently
Memory Types
Each memory type serves a specific purpose:
conversation: Recent messages and responseslong_term: Actions taken and significant events
Context Integration
The memory system automatically:
- Includes recent conversations in context
- References relevant long-term memories
- Maintains conversation flow
- Expires old memories based on TTL