🧠 Memory & Context
Shared Intelligence Across Agents
AppDuck's memory system enables agents to build on each other's work while maintaining their specialized roles and perspectives.
Memory Architecture
Shared Context Pool
Central memory store accessible to all agents
Structured data format for cross-agent compatibility
Version control for context evolution
Conflict resolution for competing information
Agent-Specific Memory
Private memory space for each agent's working data
Specialized data structures per agent type
Local optimization and caching
Scoped access to relevant shared context
Session Memory Persistence
Context maintained throughout session lifecycle
Incremental updates as agents complete tasks
Rollback capability for failed agent runs
Export memory snapshot for session archival
Context Flow Example
Memory Validation:
Cross-agent consistency checking
Conflict detection and resolution
Data freshness verification
Context relevance scoring
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