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letta-fleet-management

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Declaratively manage agent fleets.

Software Engineering#multi-tenancy#kubectl#canary deployment#agent management#declarative configuration#fleet management
AuthorZurybr
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill streamlines the management of multiple AI agents, enabling declarative control over their configurations, deployments, and operations, akin to infrastructure-as-code.

Core Features & Use Cases

  • Declarative Fleet Definition: Define agent fleets using a fleet.yaml file, specifying shared configurations, memory blocks, tools, and individual agent settings.
  • Automated Deployment & Updates: Apply fleet configurations using a kubectl-style CLI (lettactl apply), managing creation, updates, and rollouts.
  • Advanced Management Features: Supports canary deployments, multi-tenancy via tags, bulk messaging, agent calibration, and fleet-wide reporting for memory health.
  • Use Case: A company needs to deploy and manage 50 customer support agents, each with slightly different configurations but sharing common knowledge bases and tools. This Skill allows them to define this entire fleet in a single YAML file and manage it efficiently.

Quick Start

Use the letta-fleet-management skill to apply the agent configuration defined in the file 'fleet.yaml'.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: letta-fleet-management
Download link: https://github.com/Zurybr/lefarma-skills/archive/main.zip#letta-fleet-management

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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