The Memory Management section allows you to view, organize, and control the persistent information your AI agents can access and remember across conversations and sessions.
Xenovia Memory Management Interface

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Memory System Overview

The memory system in Xenovia is organized into several components:

Memory Stores

Repositories for different types of information

Memory Entries

Individual pieces of stored information

Memory Analytics

Insights into memory usage and patterns

Memory Configuration

Controls for memory behavior

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Memory Stores

Memory stores are specialized repositories for different types of information:
Stores interaction history between users and agents
For each memory store, you can:
  • Configure retention policies
  • Set access permissions
  • Define indexing strategies
  • Monitor usage and growth

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Memory Entries

The Memory Entries section allows you to browse, search, and edit individual pieces of information:
1

Browse

Navigate through memory entries with sorting and filtering
2

Search

Find specific information using keywords or semantic search
3

Edit

Modify entry content, metadata, or importance
4

Delete

Remove outdated or incorrect information
Each memory entry includes:
  • Content (text, structured data, references)
  • Metadata (creation time, source, last access)
  • Tags and categories
  • Importance rating
  • Access history

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Memory Analytics

The Memory Analytics section helps you understand how your agent uses its memory:

Usage Patterns

See which memories are accessed most frequently

Growth Trends

Track memory growth over time

Retrieval Metrics

Analyze memory retrieval performance

Memory Health

Identify potential memory issues

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Memory Configuration

The Memory Configuration section allows you to control how your agent’s memory functions:
  • Set how long different types of information are kept
  • Configure automatic archiving or deletion
  • Define importance thresholds for retention

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Memory Types

Xenovia supports different types of memory to address various needs:

Episodic Memory

Records specific events and interactions

Semantic Memory

Stores factual knowledge and concepts

Procedural Memory

Maintains information about processes and methods

Working Memory

Temporary storage for current context

Long-term Memory

Persistent storage for important information

Associative Memory

Connects related concepts and information

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Memory Integration

Xenovia’s memory system integrates with other platform components:
1

Agent Creation

Configure memory settings during agent setup
2

Knowledge Management

Connect memory stores to knowledge bases
3

Analytics

Track memory performance and usage
4

Security

Apply security policies to memory access

Knowledge Management

Organize information sources

Agent Execution

Interact with agents

Analytics

Performance insights