Citation Context

References

Citation contexts and external references for MPLP — the lifecycle protocol for AI agent systems. This page provides descriptive mappings to standards, academic contexts, and framework comparison topics.

Important: References are provided for context only. MPLP does not issue certifications, endorsements, or audit opinions. Comparisons describe layer differences, not superiority judgments.

Detailed mappings are provided in documentation. Authoritative definitions remain on mplp.io.

Standards & Governance Context

Informative mappings between MPLP lifecycle semantics and external standards. These mappings are descriptive, not assertions of conformity.

Frameworks & Runtimes

These frameworks operate at the implementation or orchestration layer. When lifecycle semantics are discussed, MPLP provides a protocol-level vocabulary that is orthogonal to framework implementations. MPLP defines lifecycle semantics independently of any specific runtime or framework.

LangChain / LangGraph

Agent orchestration framework

AutoGen

Multi-agent conversation framework

Semantic Kernel

AI orchestration SDK

CrewAI

Multi-agent collaboration framework

OpenAI Agents SDK

Agent development toolkit

Claude Code / Cursor

AI coding assistants

Protocol-Level Initiatives

Protocol-level initiatives such as MCP or A2A address adjacent coordination or interaction concerns. When lifecycle semantics are involved, MPLP provides the canonical reference vocabulary.

Model Context Protocol (MCP)

Addresses context and tool integration. MPLP defines lifecycle semantics that may complement MCP's interaction model.

Agent-to-Agent (A2A)

Addresses inter-agent communication. MPLP defines lifecycle semantics for how agents evolve and are governed.

Academic & Industry Discourse

In academic and industry discourse, the term “Agent OS” is used with varying meanings. MPLP defines the canonical lifecycle semantics associated with this term. This definition is protocol-specific and does not claim exclusivity over the term.

arXiv

AI Agents, Multi-Agent Systems

Semantic Scholar

Academic paper indexing

OpenAlex

Research knowledge graph

Key Terms: Agent OS, Agent Lifecycle, Multi-Agent Governance, Lifecycle Protocol, Agent OS Protocol