EXTENDED_ECOSYSTEM: SOURCE_QUALIFIED

Extended Ecosystem Lifecycle Governance Mapping

Independent lifecycle governance checklists for model, agent, framework, and protocol ecosystems not treated as first-layer GAIC scored systems.

LINK: Agentic Lifecycle Governance LINK: Deterministic Delivery LINK: Agent Architecture Governance LINK: GAIC-cited systems LINK: Agentic AI Auditability & Assurance White Paper 2026 LINK: Agentic AI Insurability & Risk Transfer White Paper 2026 LINK: Regulatory governance LINK: Applied Playbooks LINK: Concepts Map
BOUNDARY: NOT_GAIC_SCORED

Source-qualified mappings, not vendor SEO pages.

These pages apply GAIC lifecycle governance concepts to extended ecosystems. They are not GAIC scored assessments, vendor rankings, procurement recommendations, certifications, legal compliance proof, official vendor documentation, or vendor affiliations. R3F reuses existing applied playbooks where they already answer the search context, then adds narrower mappings only for gaps such as Claude Code, Qwen, Cursor, AutoGen, MCP, A2A, and Semantic Kernel. The auditability and assurance white paper is linked as an auditability analysis layer and the insurability and risk transfer white paper is linked as a public research edition insurability interpretation. Neither is used as vendor ranking, procurement guidance, underwriting advice, coverage opinion, or endorsement.

Agentic Lifecycle GovernanceDeterministic DeliveryAgent Architecture GovernanceGAIC-cited systemsAgentic AI Auditability & Assurance White Paper 2026Agentic AI Insurability & Risk Transfer White Paper 2026Regulatory governanceApplied PlaybooksConcepts Map
GROUP_01: REUSED_ROUTES

Existing Applied Playbooks

These R3B routes already cover the general lifecycle governance surfaces. R3F links to them instead of creating duplicate vendor or method pages.

Existing route Reuse first

AI Coding Agent Auditability

Existing R3B applied playbook for coding-agent auditability across tools.

Reuse the existing playbook and add Cursor / Claude Code / coding-agent mappings only where a narrower new route is needed.

Open existing playbook
Existing route Reuse first

Harness Engineering

Existing R3B playbook for wrapping agent execution with lifecycle boundaries, evidence capture, rollback, remediation, and accepted outcome.

Reuse as the general method page behind ecosystem-specific mappings.

Open existing playbook
GROUP_02: NEW_MAPPINGS

New Extended Ecosystem Mappings

These routes connect high-frequency ecosystem search contexts to Agentic Lifecycle Governance without treating them as GAIC first-layer scored systems.

AI coding agent / developer workflow Official Claude Code documentation and Anthropic product documentation reviewed.

Claude Code

A source-qualified lifecycle governance mapping for Claude Code as a coding-agent workflow context, not a product evaluation.

Lifecycle governance question When a coding agent can participate in repository work, which lifecycle records preserve intent, authority, evidence, rollback, and acceptance?
Open mapping
Model ecosystem / agent workflow input Official Qwen documentation and QwenLM GitHub sources reviewed.

Qwen

A source-qualified lifecycle governance mapping for Qwen-based agent workflows, not a model benchmark or vendor ranking.

Lifecycle governance question When a Qwen model is used in an agentic workflow, how are model substitution, authority, evidence, accepted outcome, and remediation recorded?
Open mapping
AI coding agent / developer workflow Official Cursor documentation reviewed for Agent, Background Agent, CLI, and MCP source boundaries.

Cursor / AI Coding Agents

A source-qualified lifecycle governance mapping for Cursor and AI coding-agent workflows, extending the existing AI Coding Agent Auditability playbook.

Lifecycle governance question When an AI coding agent edits or proposes code, what evidence proves the task boundary, change boundary, test boundary, and accepted outcome?
Open mapping
Multi-agent framework Official Microsoft AutoGen documentation and GitHub repository reviewed.

AutoGen

A source-qualified lifecycle governance mapping for AutoGen-style multi-agent applications, not a framework ranking.

Lifecycle governance question When multiple agents converse or coordinate, where do authority, evidence, accepted outcome, dispute, remediation, and lifecycle closure live?
Open mapping
Tool and context protocol ecosystem Official Model Context Protocol documentation and GitHub sources reviewed.

MCP

A source-qualified lifecycle governance mapping for Model Context Protocol ecosystems, focused on tool/context access versus lifecycle responsibility.

Lifecycle governance question When AI applications connect to tools and external systems through MCP, what lifecycle governance layer keeps tool access tied to authorized work and accepted outcome?
Open mapping
Agent interoperability protocol ecosystem Official A2A specification and A2A project GitHub sources reviewed.

A2A

A source-qualified lifecycle governance mapping for Agent2Agent protocol ecosystems, focused on inter-agent communication versus lifecycle responsibility.

Lifecycle governance question When independent agents communicate or delegate through A2A, where is lifecycle responsibility recorded and accepted?
Open mapping
Agent framework / orchestration SDK Official Microsoft Learn and Microsoft GitHub sources reviewed; inclusion supported.

Semantic Kernel

A source-qualified lifecycle governance mapping for Semantic Kernel agent and orchestration patterns, included because official Microsoft sources support the ecosystem context.

Lifecycle governance question When an agent framework connects models, plugins, functions, and agents, what lifecycle records preserve authority, evidence, review, and accepted outcome?
Open mapping
GROUP_03: RELATED_GAIC_CITED

Related GAIC-Cited Systems

These are first-layer systems discussed in the Global AI Compliance White Paper 2026. They remain separate from the R3F extended ecosystem layer.

MPLP IBM watsonx.governance Microsoft Azure AI Foundry AWS Bedrock + Guardrails + AgentCore Google Vertex AI + ADK + Model Armor LangGraph + LangSmith OpenAI Agents SDK CrewAI
NON_CLAIM_DISCIPLINE

What this layer does not claim.

This layer does not create GAIC scores, compare products, rank vendors, recommend procurement, claim legal compliance proof, certify systems, imply regulator approval, imply vendor affiliation, or claim vendor approval. MPLP remains one protocol path, not a required or exclusive route.

WHITE_PAPER_SOURCE_TRACE ADJACENT

White paper source trace

The Extended Ecosystem index is treated as a navigation surface for adjacent, non-GAIC-scored lifecycle governance mappings.

This page is adjacent to GAIC, not a GAIC-scored assessment. It uses MRO, RCCS-M, and ALCS as lifecycle governance lenses for an ecosystem context established by official sources.

Use the trace to ask how tool access, agent delegation, model/runtime substitution, evidence, accepted outcome, rollback, and remediation would survive across the workflow.

This mapping is source-qualified and non-GAIC-scored. It is not vendor documentation, vendor affiliation, product scoring, legal advice, certification, legal compliance proof, procurement guidance, or a claim that MPLP is required.

MRO-15: Substitution conformance Vendor, model, or runtime substitution as a lifecycle responsibility object. Chapter 6: Missing Regulatory Objects The MRO object layer for authority, evidence, acceptance, substitution, and closure. ALCS Lifecycle conformance lens across intent, authority, evidence, acceptance, and closure. Publication boundary Non-legal, non-certification, non-ranking, and non-procurement boundary.
GAIC white paper hubGAIC-cited systemsMissing Regulatory ObjectsRCCS-MALCS