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Create and configure AI agents, attach knowledge for RAG, manage MCP servers, and handle agent memories using the Cargo CLI. Use when the user wants to create…
Cargo CLI — AI Agent resource management: creating and configuring agents, attaching knowledge for retrieval-augmented generation (RAG), connecting MCP servers, and managing agent memories. For using agents (sending messages, multi-turn chat, polling), use cargo-orchestration. For uploading knowledge files and building knowledge libraries (the content domain), use cargo-content. This skill covers how that knowledge attaches to an agent. For workspace administration — folders (used to organize agents and files), users, API tokens, roles, and submitting reports when the CLI fails — use cargo-workspace-management. See references/response-shapes.md for full JSON response structures. See references/troubleshooting.md for common errors and how to fix them. See references/examples/agents.md for agent CRUD and configuration examples. See references/examples/mcp-servers.md for MCP server creation and management examples. Prerequisites See ../cargo/references/prerequisites.md for install, login (--oauth / --token), JSON output conventions, and error shapes. Verify the session with cargo-ai whoami before running any of the commands below. Discover resources first
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