Building Agents for
Agent workflows pair a language model with an orchestration layer that manages triggers, tool calls, memory, and control flow. Beezwax builds most agents on n8n as the control plane: each capability is a typed tool node with its own authentication, the model selects tools from natural-language descriptions, and buffer memory preserves context across steps. Workflows are version-controlled JSON, self-hosted via Docker, with human-in-the-loop checkpoints, structured output validation, and per-node execution logs for debugging.
