Mapping the AI Tool Landscape: Where Each Layer of the Agent Loop Fits

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A software practitioner analyzed a cluster of frequently mentioned AI tools—Tessl, Goose, Archestra, Kestra, and Modelplane—by placing each one on a conceptual 'floor' within the agent loop architecture. Tessl operates at the intent layer, converting specifications into agent-executable instructions, while Goose and Claude Code function as harnesses that give raw models the scaffolding needed to run a loop. RAG and MCP serve as plumbing protocols for passing context, and notably are the only layer with formal standardization under Linux Foundation governance. Archestra acts as centralized infrastructure around the loop, handling observability, guardrails, and cost tracking, whereas Kestra is a pre-existing pipeline orchestrator now repositioning itself toward agentic workflows. Modelplane sits at the compute layer, drawing from the Crossplane philosophy of API-first infrastructure to abstract GPU and inference cluster management.

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