Glossary

Agent¶

An AI assistant that can perform tasks autonomously. In kdn, agents are the different AI tools (Claude Code, Goose, Cursor) that can be launched and configured.

LLM (Large Language Model)¶

The underlying AI model that powers the agents. Examples include Claude (by Anthropic), GPT (by OpenAI), and other language models.

MCP (Model Context Protocol)¶

A standardized protocol for connecting AI agents to external data sources and tools. MCP servers provide agents with additional capabilities like database access, API integrations, or file system operations.

Runtime¶

The environment where workspaces run. kdn supports multiple runtimes (e.g., Podman containers), allowing workspaces to be hosted on different backends depending on your needs.

Skills¶

Pre-configured capabilities or specialized functions that can be enabled for an agent. Skills extend what an agent can do, such as code review, testing, or specific domain knowledge.

Workspace¶

A registered directory containing your project source code and its configuration. Each workspace is tracked by kdn with a unique ID and a human-readable name. Workspaces can be accessed using either their ID or name in all commands (start, stop, remove, terminal).