oh-my-openagent-orchestration

Multi-agent AI coordination is handled by an orchestration framework that runs up to eight agents in parallel across architecture, coding, and documentation workstreams. It applies role-based presets and a Ralph loop to ensure tasks progress until 100% completion.

Hash-anchored editing secures collaborative code changes by anchoring edits with hashes, while LSP integration provides IDE-grade precision. Together they ensure safe, auditable modifications when multiple background agents execute parallel tasks on the same codebase.

Yes, parallel AI agents can be deployed for large-scale refactoring, architecture design, security audits, and automated code reviews. The orchestration framework assigns specialized discipline agents to distinct workstreams to execute these tasks concurrently.

Team Mode orchestrates up to eight AI agents using role-based presets for specialized workstreams. You initiate the workflow by running an ultrawork command, which coordinates background agents to execute tasks in parallel and provides status updates via team commands.

Multi-agent orchestration supports specialized workstreams through dedicated discipline agents, including Sisyphus, Hephaestus, Oracle, Librarian, and Explore. These agents handle specific roles within the coordinated workflow to tackle complex software development tasks.

A Ralph loop ensures multi-agent AI workflows progress continuously until 100% task completion. It enforces execution persistence within the orchestration framework, preventing background agents from stalling during complex software development operations.