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Agent Harness vs Agent Framework vs MCP: Which Layer Owns the Loop, State, Tools, Permissions, and Recovery

The agent stack has three layers. Most teams are building in the wrong one.

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AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As agents move from prototype to production, practitioners need to understand which layer—harness, framework, or MCP—owns critical responsibilities like state management, tool binding, permissions, and recovery. This is the architectural literacy that separates pilot projects from deployable systems.

The key facts

11 to know
  1. Three-layer agent architecture: harness (loop/orchestration), framework (model integration), MCP (tool/resource protocol)

  2. Harness owns: the execution loop, state persistence, error recovery, and multi-turn orchestration

  3. Framework owns: model routing, prompt composition, and output parsing

  4. MCP owns: tool discovery, permissions enforcement, and resource binding

  5. Overlap analysis between layers identifies deployment risk points

  6. Published Sep 14, 2026 — timely for production agent rollouts

  7. Three-layer agent stack taxonomy: harness (orchestration/loop control), framework (agent logic/tools), MCP (protocol/integration)

  8. State management ownership unclear across layers — critical for production reliability

  9. Tool access and permissions split between framework and harness in most deployments

  10. Recovery and error handling responsibility varies by implementation — a risk for autonomous workflows

  11. MCP (Model Context Protocol) as a standardization play for agent-tool boundaries

Go to the source

MarkTechPostmarktechpost.com

Publisher excerpt: A practitioner's map of the 3 layers in a modern agent stack, with verified sources and an overlap analysis.
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