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XSky Core Architecture

Agent Building
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This skill should be used when the user asks about "XSky architecture", "XSky class", "how XSky works", "agent execution", "workflow system", "Chain class", "Context class", or needs to understand the core framework structure and execution model.

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XSky Core Architecture

This skill provides deep knowledge of XSky AI Agent framework internals.

Overview

XSky is a multi-platform AI agent framework with these core components:

XSky (Orchestrator)
├── Planner (Task → Workflow XML)
├── Chain (Execution tracking)
├── Context (State management)
├── Memory (Conversation compression)
└── Agents (Task executors)

Execution Flow

  1. Task Received: User provides natural language task
  2. Planning: Planner converts to Workflow XML using LLM
  3. Parsing: XML parsed into agent tree with dependencies
  4. Execution: Agents execute in dependency order
  5. Result: Final result returned to user

Key Classes

XSky (core/xsky.ts)

Main orchestrator with these methods:

  • generate(taskPrompt) → Creates workflow from task
  • execute(taskId) → Runs workflow
  • run(taskPrompt) → Generate + execute in one call
  • pauseTask(taskId) → Pause execution
  • abortTask(taskId) → Cancel execution

Planner (core/plan.ts)

Converts natural language to Workflow XML:

  • Uses LLM to analyze task and select agents
  • Outputs structured XML with dependencies
  • Supports replanning on failure

Chain (core/chain.ts)

Tracks execution state:

  • Records each agent's execution
  • Stores results and errors
  • Enables debugging and replay

Context (core/context.ts)

Manages task state:

  • taskId - Unique task identifier
  • variables - Key-value storage
  • workflow - Current workflow
  • controller - AbortController for cancellation
  • conversation - Chat messages during execution

AgentContext

Per-agent execution context:

  • Access to variables
  • Tool execution
  • Script injection
  • Result storage

Agent Architecture

All agents extend base classes:

  • Agent - Base class with LLM dialogue loop
  • BaseBrowserAgent - Browser abstraction
  • BaseBrowserLabelsAgent - Element labeling approach
  • BaseFileAgent - File system operations
  • BaseShellAgent - Command execution

Key Source Files

FilePurpose
packages/ai-agent-core/src/core/xsky.tsMain orchestrator
packages/ai-agent-core/src/core/plan.tsWorkflow planner
packages/ai-agent-core/src/core/chain.tsExecution chain
packages/ai-agent-core/src/core/context.tsContext management
packages/ai-agent-core/src/core/dialogue.tsLLM dialogue loop