letta-fleet-management

name	letta-fleet-management
description	Manage Letta AI agent fleets declaratively with kubectl-style CLI. Use when creating, updating, or managing multiple Letta agents with shared configurations, memory blocks, tools, folders, canary deployments, multi-tenancy, and bulk operations.
license	MIT

lettactl

kubectl-style CLI for managing Letta AI agent fleets declaratively.

When to Use

• Deploying multiple agents with shared configurations
• Managing agent memory blocks, tools, and folders
• Applying templates to existing agents
• Running canary deployments before promoting to production
• Multi-tenant agent management (B2B / B2B2C)
• Bulk messaging across agent fleets
• Importing/exporting agents between environments
• Analyzing agent memory health (self-diagnosis)
• Calibrating agents with first-message boot sequences
• Programmatic fleet management via SDK

Core Workflow

1. Define agents in fleet.yaml
2. Apply with lettactl apply -f fleet.yaml
3. Verify with lettactl get agents and lettactl describe agent <name>

Fleet YAML Structure

shared_blocks:
  - name: company-context
    description: Shared company knowledge
     
     


    
    
       


    
     
     
     
     


    
       
    
       
       
    
       
    
       
       
     
     
    
        
          
         
         
         
    
        
           
    
       
    
       
    
       
       
       
    
        
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