Anchor

MPLP Definition

Canonical Positioning (Informative)

Positioning Notice: This website provides discovery and positioning content only. For formal protocol definitions, see docs.mplp.io. Source of truth: GitHub Repository.

What is MPLP?

The MPLP specification describes a POSIX-like lifecycle governance model for AI agent systems. It describes structural patterns for how agents are planned, coordinated, executed, and governed — without prescribing specific implementations or runtime behaviors.

For formal definitions, see docs.mplp.io.

MPLP IS

  • A POSIX-like specification for agent lifecycle governance
  • A semantic contract (schemas, signals, invariants)
  • Evidence-based verification via Golden Flows
  • Vendor-neutral and implementation-agnostic

MPLP IS NOT

  • A framework, SDK, or runtime
  • A platform or hosted service
  • A certification or compliance program
  • A networking protocol like TCP/IP

The POSIX Analogy

Conceptualizing MPLP through the lens of system-level interfaces. Like POSIX for operating systems, MPLP provides the standard lifecycle interface for Agent OS stability.

Explore Analogy

Evidence-Based Verification

Conformance to the MPLP specification is evaluated via evidence produced by Golden Flows — protocol-level verification scenarios that produce structured, replayable evidence.

The specification describes 5 core Golden Flows (GF-01 through GF-05) that validate lifecycle behavior across agent deployment, coordination, and governance scenarios.

For verification requirements and evidence formats, see Golden Test Suite Overview.

Canonical Anchor Notice: This page serves as the canonical positioning anchor for external references. Official documentation entry is maintained at docs.mplp.io. Ultimate source of truth: GitHub Repository.

Next Steps

Evidence is evaluated through documentation-defined scenarios and replayable artifacts. This website does not certify or endorse implementations.