AI Orchestration
AI orchestration is the coordination of multiple AI agents, models, and tools to work together in completing complex, multi-step tasks that no single component could handle alone.
Understanding AI Orchestration
Complex real-world tasks rarely involve a single action. Responding to a client email might require reading the message, checking project status, looking up relevant documents, scheduling a follow-up meeting, and drafting a reply. AI orchestration coordinates multiple specialized agents and tools to handle these multi-step workflows. An orchestration layer decides which agent or tool to invoke at each step, manages the state and context as information flows between steps, handles errors and retries, and ensures the final outcome meets the user's intent.
How GAIA Uses AI Orchestration
GAIA's architecture is built around AI orchestration using LangGraph. A core agent receives requests and orchestrates specialized subagents for email, calendar, task management, workflow execution, and tool interaction. When you ask GAIA to 'prepare for my meeting with Sarah tomorrow,' the orchestration layer coordinates checking your calendar for the meeting, searching emails for recent conversations with Sarah, reviewing related tasks and project status, compiling a briefing document, and sending it to you before the meeting starts.
Related Concepts
LangGraph
LangGraph is a framework for building stateful, multi-agent AI applications that supports complex workflows with cycles, branching, conditional logic, and persistent state management.
AI Agent
An AI agent is an autonomous software system that perceives its environment, reasons about what to do, and takes actions to achieve specific goals without continuous human direction.
Workflow Automation
Workflow automation is the use of technology to execute repeatable business processes and tasks automatically, reducing manual effort and human error.
Large Language Model (LLM)
A Large Language Model (LLM) is an artificial intelligence model trained on vast amounts of text data that can understand, generate, and reason about human language with remarkable fluency.
Frequently Asked Questions
What is the difference between AI orchestration and automation?
Automation executes predefined rules. AI orchestration coordinates multiple intelligent agents that can reason, adapt, and make decisions. GAIA's orchestration layer dynamically decides which agents and tools to use based on the specific task and context.
How does GAIA coordinate multiple agents?
GAIA uses LangGraph to model agent coordination as a directed graph. The core agent routes tasks to specialized subagents, manages shared state, handles tool interactions through MCP, and assembles results into coherent outcomes.
