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