Glossary

Multi-Agent Orchestration

Coordinating several AI agents toward one goal by splitting it into tasks across parallel sessions.

Multi-agent orchestration is the practice of running more than one AI agent at once and coordinating them. A goal is decomposed into tasks, tasks are dispatched to separate agent sessions, and progress is tracked centrally — letting agents work in parallel instead of serially.

This is increasingly common as developers run, for example, Claude Code and Codex side by side. Agents UI's Orchestrate mode is built for exactly this: turning a goal into tasks, dispatching them across sessions, and tracking completion on a plan board.

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Related guides on the Agents UI blog and related terms in this glossary.

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A native terminal for AI coding agents with persistent sessions, SSH workflows, and built-in editing.

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Related

AI Coding Agent

An AI program that autonomously reads, writes, and runs code to complete development tasks.

Agentic Coding

A workflow where an autonomous AI agent plans and executes multi-step coding tasks, not just single completions.

Persistent Terminal Session

A terminal session that survives disconnects and restarts, preserving running processes and state.

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Multi Agent Future Why Developers Run Multiple Ai Agents

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