Overview

The batteries-included agent harness for OpenCode. Multi-model orchestration, Team Mode, background agents, 55 lifecycle hooks.

Pricing

Free

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Teams use OmO to conduct market research across thousands of sources and generate presentation decks.
Teams use OmO for company work, experiments, backends, frontends, and code.
Teams use OmO's ultrawork keyword to handle difficult tasks by letting the agent decide how to attack them.
Teams use OmO's mass ulw command to turn large jobs into a graph of agents for deep research, machine-learning pipelines, or migrations.
Teams use OmO's Kibitzer feature to have a small model monitor the main agent and prevent repeated mistakes.
Teams use OmO's skills to load task-specific knowledge such as frontend, debugging, or data science.
Teams use OmO's computer use capability to have the agent read screens and interact with native apps on macOS, Linux, and Windows.
Teams use OmO to communicate with their agent through messaging platforms like Slack, Discord, and Telegram.

Agent harness for OpenCode

Orchestration across multiple models

Team Mode collaboration

Background agent execution

Fifty five lifecycle hooks

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