lettactl
Declarative YAML deployment and management of Letta fleets
All Skills in This Repository (10)
Pure Emerald Level Indicatorslettactl
Manages Letta AI fleets declaratively via kubectl-style CLI and YAML configurations.
agent-management
Manage AI agent lifecycles with YAML configurations and Letta integration.
bulk-operations
Delete agents by regex patterns and clean orphaned resources with dry-run options.
code-review
Analyzes code architecture, quality, performance, dependencies and security comprehensively.
message-operations
Send single or bulk messages to AI agents and retrieve conversation history.
observability
Monitor Letta server health, context window usage, and async run status.
coding-patterns
Document architectural and design patterns for the lettactl CLI.
release-cycle
Manages the full software release cycle from ticketing to publishing with Git safety guidelines.
fleet-deployment
Deploy and validate Letta AI agent fleets from YAML configuration files.
resource-management
Manage Letta AI agent resources via a CLI interface.
Frequently Asked Questions
FAQPage SchemaHow to install lettactl?โผ
Run `npx skills add nouamanecodes/lettactl --all -g -y` in your terminal to install all skills in this suite globally.
How to deploy Letta agents from YAML?โผ
Define your agents, memory blocks, and tools in a YAML file, then run `lettactl apply -f fleet.yml`. Use `--dry-run` to preview changes before applying them.
Does lettactl preserve conversation history on updates?โผ
Yes. Re-applying a YAML file only syncs the differences, so existing conversation history and agent state stay intact.
Can lettactl manage multiple agents at once?โผ
Yes. You can bulk-message agents by name pattern, delete groups with regex filters, and clean up orphaned blocks, folders, and tools in one command.
Does lettactl work with Letta Cloud and self-hosted servers?โผ
Yes. Point it at any Letta server with named remotes or environment variables, including Letta Cloud projects with API keys and project IDs.
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