Node Era Protocol: A Six-Layer, Fourteen-Node Operating System for AI Agent Workflows

Node Era Protocol is a cross-framework operating system protocol that converts SOPs (Standard Operating Procedures) into executable AI agent workflows. It aims to solve problems like demand conversion and lack of process norms during the transition of AI agent development from experiment to production. Through its six-layer architecture (Requirement, Design, Implementation, Verification, Delivery, Accumulation) and fourteen core nodes, it provides a complete engineering framework from requirement decomposition to delivery acceptance, supporting multiple AI development environments such as Codex, Claude Code, OpenClaw, and LangGraph, and offering a structured execution blueprint for agent workflows.

AI agent technology is moving from the experimental phase to production applications, but developers face core challenges: how to convert unstructured natural language requirements into repeatable, verifiable, and transferable engineering deliverables. Existing agent frameworks (e.g., LangGraph, OpenAI Agents SDK) have strong execution capabilities but lack unified process norms, leading to difficulties in project maintenance, insufficient knowledge accumulation, and low team collaboration efficiency. As a cross-framework "operating system" protocol, Node Era Protocol introduces the SOP concept from software engineering and provides a structured solution through layered architecture and core nodes.

The design philosophy consists of three key words:

1. Layered Architecture: Decomposed into six layers (Requirement, Design, Implementation, Verification, Delivery, Accumulation), each with clear input/output and acceptance criteria;
2. Nodal Execution: Fourteen core nodes correspond to key decision points/execution units (e.g., requirement decomposition, code generation, test verification), with predefined trigger conditions, logic, and output formats;
3. Migratability: Compatible with environments like Codex, Claude Code, and OpenClaw, providing adaptation layers and examples to support seamless toolchain switching.

Details of the six-layer architecture:

• Requirement Layer: Capture original requirements, perform structured decomposition, and define acceptance criteria (in JSON/YAML format understandable by agents);
• Design Layer: Select architecture, confirm tech stack, define interfaces, generate multiple candidate solutions, and score/compare them;
• Implementation Layer: Generate code, review, refactor, and integrate—emphasizing the "generate-review-refactor" cycle to control quality;
• Verification Layer: Test, validate, and repair, with clear pass/fail judgment logic—failure triggers repair or manual intervention;
• Delivery Layer: Package, generate documents, and release—requiring code changes to sync with document updates;
• Accumulation Layer: Extract experience, archive patterns, update skills, and continuously evolve workflows.

The fourteen core nodes cover the full lifecycle: Decompose, Select, Generate, Audit, Refactor, Integrate, Test, Verify, Repair, Review, Package, Document, Release, Archive. Nodes are dynamically connected via dependency graphs, providing path templates like "rapid prototype" and "production-grade".

Integration with mainstream frameworks:

• Codex: Map nodes to executable skills;
• Claude Code: Use workflows and subagents to implement parallel/serial node execution;
• OpenClaw: Natively supported, using skill registry and sandbox execution;
• LangGraph: Convert node dependency graphs to state machine definitions.

Applicable scenarios:

• Enterprise-level agent projects: Reduce collaboration costs and ensure consistency between documents and code;
• Open-source agent skill libraries: Accumulate reusable skill templates;
• Teaching & training: Provide clear learning paths;
• Audit & compliance: Meet traceability requirements.

Project status: The current version is 1.0.3, with core protocols, loaders, and skill packages ready; the roadmap includes richer adapters, a visual dashboard, and automated evaluation tools. Licensed under MIT and hosted on GitHub—community contributions are welcome.

Node Era Protocol marks the evolution of AI agent development from "craftsmanship" to engineering. Through SOP concepts and layered nodal architecture, it brings structure and predictability to agent workflows. It is not just a tool but a thinking framework—even with powerful AI capabilities, good engineering practices remain the cornerstone of successful delivery.