Skip to main content

Checkpoint and Iterables Plugins - State Management

· One min read
Mark Dierolf
Mark Dierolf
Creator of TokenRing AI

New plugins for agent state persistence and iterable data processing.

Checkpoint Plugin​

Checkpoint service for storing and restoring agent state:

Features​

  • State Snapshots: Store complete agent state at any point
  • Named Checkpoints: Organize checkpoints with descriptive names
  • Pluggable Storage: Works with any storage provider (SQLite, cloud, etc.)
  • Session Management: Restore agent state across sessions

Usage​

const checkpointService = new AgentCheckpointService({ 
  provider: myStorageProvider 
});

// Store checkpoint
await checkpointService.storeCheckpoint({
  agentId: 'agent-123',
  name: 'session-1',
  state: { messages: [], variables: {} },
  createdAt: Date.now()
});

// Retrieve checkpoint
const checkpoint = await checkpointService.retrieveCheckpoint('agent-123');

Iterables Plugin​

Utilities for working with iterable data structures:

Features​

  • Iterable Utilities: Process and manage iterable collections
  • Data Stream Processing: Efficient handling of large datasets
  • Collection Management: Tools for working with collections
  • Provider Interfaces: Extensible provider system

Use Cases​

  • Process large file lists efficiently
  • Stream data through agent workflows
  • Handle paginated API results
  • Manage collection transformations

Benefits​

Checkpoint Plugin:

  • Resume interrupted workflows
  • A/B test different agent configurations
  • Debug by restoring to specific states
  • Implement undo/redo functionality

Iterables Plugin:

  • Memory-efficient data processing
  • Clean abstraction for collections
  • Consistent iteration patterns
  • Lazy evaluation support

Together, these plugins provide robust state management and data processing capabilities for complex agent workflows.

Mark Dierolf
Creator of TokenRing AI