alvinunreal/oh-my-opencode-slim

What’s This Plugin

oh-my-opencode-slim is an agent orchestration plugin for OpenCode. It includes a built-in team of specialized agents that can scout a codebase, look up fresh documentation, review architecture, handle UI work, and execute well-scoped implementation tasks under one orchestrator.

The main idea is simple: instead of forcing one model to do everything, the plugin routes each part of the job to the agent best suited for it, balancing quality, speed and cost. The Orchestrator plans the work graph, dispatches specialists as background tasks, and reconciles their results before continuing.

✨ Highlights

• Seven specialized agents - Orchestrator, Explorer, Oracle, Council, Librarian, Designer, and Fixer. Each part of the job goes to the agent best suited for it - mix any models across any providers.
• Background orchestration - the Orchestrator dispatches specialists as background tasks, tracks them, and reconciles results before continuing - parallel work by default.
• Bundled skills - prompt-based workflows like deepwork, codemap, verification-planning, and reflect, assigned per agent.
• Council - run multiple models in parallel on the same question and synthesize a single answer with @council.
• Companion - an optional floating desktop window showing which agents are active, including parallel background specialists.
• Multiplexer integration - watch agents work live in Tmux, Zellij, Herdr, cmux, or kitty panes.
• Preset switching - swap the whole team’s models at runtime with /preset.
• Code intelligence tools - LSP tools, AST-aware search across 25 languages, and built-in MCPs for docs and GitHub code search.
• Fully customizable - custom agents, prompt overrides, per-agent skill/MCP permissions, and project-local customization.

OpenAI GPT-5.6

The default OpenAI preset maps Terra to Orchestrator, Sol to Oracle, and Luna to the fast specialist lanes.

What Users Say

“Task management went from 5/10 to 8-9/10 easily. The Orchestrator sends Fixers and Explorers, and I can still talk and plan with the Orchestrator in the same session. The experience feels way smoother now.”

- vipor_idk

“I ditched all my harnesses for this beta version of omo-slim and don’t look back or miss anything. Great work and IMHO all in the right direction.”

- stephanschielke

“I love omo-slim, and can’t imagine running opencode without it. I love that I can create a Frankenstein of models… Makes the setup such a beast.”

- Capital-One3039

“It has significantly improved my workflow… Now, it is working very smoothly, and I love it.”

- xenstar1

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

The published CLI is a Node-compatible bundle, so npx works too if you don’t have Bun installed:

npx oh-my-opencode-slim@latest install

Run from Master

Use this if you want the latest code, easier bug fixes, or a local setup for development and contributions:

git clone https://github.com/alvinunreal/oh-my-opencode-slim.git ~/repos/oh-my-opencode-slim
cd ~/repos/oh-my-opencode-slim
bun install
bun run build
bun dist/cli/index.js install

The installer adds the local repo path to the plugin array in ~/.config/opencode/opencode.json, so OpenCode loads the plugin from that folder. To update later:

cd ~/repos/oh-my-opencode-slim
git pull
bun install
bun run build

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

[!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, cmux, or kitty 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": "xhigh", "skills": ["*"], "mcps": ["*", "!context7"] },
      "oracle": { "model": "openai/gpt-5.6-sol", "variant": "xhigh", "skills": ["simplify"], "mcps": [] },
      "librarian": { "model": "openai/gpt-5.6-luna", "variant": "low", "skills": [], "mcps": ["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": "xhigh", "skills": [], "mcps": [] }
    },
    "opencode-go": {
      "orchestrator": { "model": "opencode-go/minimax-m3", "variant": "thinking" },
      "oracle": { "model": "opencode-go/qwen3.7-max", "variant": "max" },
      "librarian": { "model": "opencode-go/deepseek-v4-flash", "variant": "high" },
      "explorer": { "model": "opencode-go/deepseek-v4-flash", "variant": "high" },
      "designer": { "model": "opencode-go/kimi-k2.7-code" },
      "fixer": { "model": "opencode-go/deepseek-v4-flash", "variant": "high" },
      "observer": { "model": "opencode-go/mimo-v2.5" }
    }
  }
}

Preset Docs

• OpenAI Preset — the default generated preset; runs all agents on OpenAI models.
• OpenCode Go Preset — runs the agents on OpenCode Go models; enables the Observer agent for visual analysis since its orchestrator model isn’t multimodal.
• Author’s Preset — the exact config the author runs day to day, with third-party skills.
• $30 Preset — a mixed-provider setup built around Codex Plus and GitHub Copilot Pro for about $30/month.
• OpenCode Zen Free Preset — every agent runs on an opencode free model; no usage cost.

For Alternative Providers

To use custom providers or a mixed-provider setup, use Configuration for the full reference.

✅ Verify Your Setup

After installation and authentication, verify all agents are configured and responding:

opencode

Then run:

ping all agents

If any agent fails to respond, check your provider authentication and config file.

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🏛️ Meet the Pantheon

01. Orchestrator: The Embodiment Of Order

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02. Explorer: The Eternal Wanderer

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03. Oracle: The Guardian of Paths

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04. Council: The Chorus of Minds

[!NOTE] Why doesn’t Orchestrator auto-call Council more often? This is intentional. Council runs multiple models at once, so automatic delegation is kept strict because it is usually the highest-cost path in the system. In practice, Council is meant to be used manually when you want it, for example: @council compare these two architectures.

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05. Librarian: The Weaver of Knowledge

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06. Designer: The Guardian of Aesthetics

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07. Fixer: The Last Builder

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Optional Agents

Observer: The Silent Witness

[!NOTE] Why a separate agent? If your Orchestrator model is not multimodal, enable Observer to handle images, screenshots, and other visual files. Observer is disabled by default and gives the Orchestrator a dedicated multimodal reader without forcing you to change your main reasoning model. Set disabled_agents: [] and an observer model in your configuration. The bundled opencode-go install preset does this automatically because its GLM Orchestrator is not multimodal. Omitting image_routing preserves existing conditional Observer behavior. Set image_routing: "auto" only when Observer is enabled, or "direct" to always pass image attachments to the Orchestrator.

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🧩 Skills

Skills are prompt-based instructions injected into an agent’s system prompt to guide decisions, workflows, and tool use. Unlike MCPs (which are running servers), a skill runs no process — it is a focused playbook an agent activates when the task calls for it. The installer bundles eight skills and keeps them updated on plugin auto-update; local customizations are preserved.

[!TIP] To discard local bundled-skill customizations and receive package updates, run bunx oh-my-opencode-slim install --skills=force. This deliberately replaces installed bundled skills with the package versions.

Skill assignments are permission grants — an agent can only activate skills it has been given. Configure them per agent with the skills array in ~/.config/opencode/oh-my-opencode-slim.json: an explicit list, "*" for everything, or "!skill-name" to deny one.

See Skills for full documentation, or browse the illustrated overview at ohmyopencodeslim.com/skills.

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🖥️ Companion

The optional Companion is a floating desktop status window for live agent activity. It shows the current session state and which agents are active, so background work is easier to follow at a glance.

During interactive install, the installer asks whether to enable Companion and defaults to no. For automation, enable it explicitly with:

bunx oh-my-opencode-slim@latest install --companion=yes

See Companion for configuration, positions, sizes, and install details.

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📚 Documentation

Use this section as a map: start with installation, then jump to features, configuration, or example presets depending on what you need.

✨ Features & Workflows

⚙️ Config & Reference

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🏛️ Contributors

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📄 License

MIT

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