oh-my-opencode-slim

Quick Start

Copy and paste this prompt to your LLM agent (Claude Code, AmpCode, Cursor, etc.):

Install and configure oh-my-opencode-slim: https://raw.githubusercontent.com/alvinunreal/oh-my-opencode-slim/refs/heads/master/README.md

Manual Installation

bunx oh-my-opencode-slim@latest install

Getting Started

The installer generates both OpenAI and OpenCode Go presets, with OpenAI active by default.

[!TIP] Tune the models and agents for your own workflow. The defaults are only a starting point; the plugin is designed for deep flexibility and customization.

To make OpenCode Go active during install, run bunx oh-my-opencode-slim@latest install --preset=opencode-go or change the default preset name in ~/.config/opencode/oh-my-opencode-slim.json after installation.

Then:

1. Log in to the providers you want to use if you haven't already:

   opencode auth login
   

2. Refresh and list the models OpenCode can see:

   opencode models --refresh
   

3. Open your plugin config at ~/.config/opencode/oh-my-opencode-slim.json

4. Update the models you want for each agent

[!TIP] It's recommended to understand how background orchestration works. The Orchestrator prompt contains the scheduler rules, specialist routing logic, and thresholds for when work should be assigned to background agents. You can always delegate manually by calling a subagent via: @agentName <task>

[!TIP] Because background agents are now the default workflow, it is highly recommended to enable and configure Multiplexer Integration. It automatically opens each agent in a dedicated Tmux, Zellij, Herdr, or cmux pane, so you can watch specialists work live while the Orchestrator continues coordinating the session.

The default generated configuration includes both openai and opencode-go presets.

{
  "$schema": "https://unpkg.com/oh-my-opencode-slim@latest/oh-my-opencode-slim.schema.json",
  "preset": "openai",
  "presets": {
    "openai": {
      "orchestrator": { "model": "openai/gpt-5.6-terra", "variant": "medium", "skills": ["*"], "mcps": ["*", "!context7"] },
      "oracle": { "model": "openai/gpt-5.6-sol", "variant": "high", "skills": ["simplify"], "mcps": [] },
      "librarian": { "model": "openai/gpt-5.6-luna", "variant": "low", "skills": [], "mcps": ["websearch", "context7", "gh_grep"] },
      "explorer": { "model": "openai/gpt-5.6-luna", "variant": "low", "skills": [], "mcps": [] },
      "designer": { "model": "openai/gpt-5.6-luna", "variant": "medium", "skills": [], "mcps": [] },
      "fixer": { "model": "openai/gpt-5.6-luna", "variant": "medium", "skills": [], "mcps": [] }
    },
    "opencode-go": {
      "orchestrator": { "model": "opencode-go/minimax-m3", "variant": "max", "skills": [ "*" ], "mcps": [ "*", "!context7" ] },
      "oracle": { "model": "opencode-go/qwen3.7-max", "variant": "max", "skills": ["simplify"], "mcps": [] },
      "librarian": { "model": "opencode-go/deepseek-v4-flash", "variant": "high", "skills": [], "mcps": [ "websearch", "context7", "gh_grep" ] },
      "explorer": { "model": "opencode-go/deepseek-v4-flash", "variant": "max", "skills": [], "mcps": [] },
      "designer": { "model": "opencode-go/kimi-k2.7-code", "variant": "medium", "skills": [], "mcps": [] },
      "fixer": { "model": "opencode-go/deepseek-v4-flash", "variant": "high", "skills": [], "mcps": [] },
      "observer": { "model": "opencode-go/mimo-v2.5", "variant": "max", "skills": [], "mcps": [] }
    }
  }
}