M002 — Runtime Foundation

Status: ✅ Completed

Version: v0.2.0

Date: July 17, 2026

Executive Summary

The Runtime Foundation establishes the execution layer of the XYBEROS AI Platform.

While the Kernel provides core infrastructure (dependency injection, lifecycle management, services, observability, and communication), the Runtime provides the abstraction layer that enables autonomous execution through agents, skills, plugins, and modules.

This milestone introduces a generic runtime architecture that is extensible, modular, and independent of any specific AI model or application domain.

The Runtime Foundation completes the platform necessary to begin building higher-level cognitive systems such as memory, planning, reasoning, workflows, and orchestration.

Objectives

Completed:

✅ Runtime Core ✅ Runtime Registry ✅ Runtime Manager ✅ Runtime Metadata ✅ Runtime Lifecycle ✅ Runtime Execution Pipeline ✅ Runtime Context ✅ Agents ✅ Skills ✅ Plugins ✅ Modules ✅ Runtime Manifests ✅ Runtime Tests ✅ 100% Code Coverage Runtime Architecture XYBEROS Runtime

              Runtime Manager
                     │
 ┌───────────────────┼───────────────────┐
 │                   │                   │

Agents Skills Plugins │ │ │ └───────────────┬───┴───────────────────┘ │ Modules │ Execution Pipeline │ Runtime Context

The runtime layer separates execution from infrastructure, allowing the Kernel to remain minimal while the Runtime handles deployable, executable components.

Runtime Core

The Runtime Core introduces reusable abstractions shared across every executable artifact.

Implemented components include:

Runtime Registry Runtime Manager Runtime Lifecycle Runtime Metadata Executable Base Runtime Initialization Runtime Shutdown

These abstractions eliminate duplicated lifecycle code across agents, skills, plugins, and modules.

Runtime Context

A unified execution context was introduced.

Implemented contexts include:

RuntimeContext ExecutionContext SessionContext AgentContext

This provides a consistent mechanism for carrying execution state throughout the runtime.

Runtime Execution

Execution responsibilities were separated into dedicated components.

Implemented:

Executor Invocation Pipeline Execution Result

This architecture prepares XYBEROS for future workflow execution, orchestration, retries, middleware, and distributed execution.

Runtime Components Agents

Agents represent autonomous runtime entities capable of maintaining execution state.

Implemented:

Agent Agent Manager Agent Registry Agent Lifecycle Skills

Skills encapsulate reusable executable capabilities.

Implemented:

Skill Base Skill Loader Skill Manager Skill Registry Plugins

Plugins provide extension points for the runtime.

Implemented:

Plugin Base Plugin Loader Plugin Manager Plugin Registry Modules

Modules package higher-level functionality into deployable runtime units.

Implemented:

Module Base Module Loader Module Manager Module Registry Runtime Manifests

Metadata was centralized into dedicated runtime manifests.

Implemented:

BaseManifest AgentManifest SkillManifest PluginManifest ModuleManifest

This provides a consistent metadata model for every runtime artifact.

Design Principles

The Runtime Foundation follows several architectural principles:

Separation of concerns Generic runtime abstractions Pluggable architecture Dependency inversion Modular deployment Lifecycle-driven execution Test-first development Kernel-independent runtime components Testing

The Runtime Foundation includes a comprehensive automated test suite.

Coverage includes:

Runtime Core Agents Context Execution Skills Plugins Modules Manifests

Results:

653 tests passed 0 failures 100% statement coverage

This milestone establishes a stable execution platform for future cognitive capabilities.

Relationship to the Kernel Application │ ▼ Runtime │ ├── Agents ├── Skills ├── Plugins ├── Modules ├── Context └── Execution │ ▼ Kernel │ ├── Services ├── Registry ├── Container ├── Event Bus ├── Security ├── Storage ├── Monitoring └── Observability

The Runtime consumes Kernel services without coupling business logic to infrastructure.

Milestone Achievements

M001 — Kernel Foundation

Microkernel Architecture Dependency Injection Core Services Lifecycle Management Observability Service Infrastructure

M002 — Runtime Foundation

Runtime Core Execution Layer Agent Framework Skill Framework Plugin System Module System Runtime Context Runtime Metadata Runtime Testing 653 Passing Tests 100% Coverage Looking Ahead — M003

With the Kernel and Runtime complete, the next milestone shifts from infrastructure to cognition.

M003 — Cognitive Foundation

Planned components include:

Memory System Knowledge Base Context Engine Planner Reasoning Engine Workflow Engine Prompt Engine Tool Calling Cognitive Loop

This milestone will transform XYBEROS from a robust execution platform into a true AI Platform.