Oh My Opencode

Oh My OpenCode

Multi-agent orchestration plugin that transforms OpenCode into a full agent harness with specialized agents, background task execution, category-based model routing, and autonomous work modes.

Package: oh-my-opencode (install via bunx oh-my-opencode install) Repository: https://github.com/code-yeongyu/oh-my-opencode Schema: https://raw.githubusercontent.com/code-yeongyu/oh-my-opencode/master/assets/oh-my-opencode.schema.json

---

Prerequisites

1. OpenCode installed and configured (opencode --version should be 1.0.150+)

``bash curl -fsSL https://opencode.ai/install | bash # or: npm install -g opencode-ai # or: bun install -g opencode-ai ``

1. At least one LLM provider authenticated (opencode auth login)
2. Strongly recommended: Anthropic Claude Pro/Max subscription (Sisyphus uses Claude Opus 4.5)

---

Installation

Run the interactive installer:

bunx oh-my-opencode install

Non-interactive mode with provider flags:

bunx oh-my-opencode install --no-tui \
  --claude= \
  --openai= \
  --gemini= \
  --copilot= \
  --opencode-zen= \
  --zai-coding-plan=

Verify:

opencode --version
cat ~/.config/opencode/opencode.json  # should contain "oh-my-opencode" in plugin array

---

Two Workflow Modes

Mode 1: Ultrawork (Quick Autonomous Work)

Include ultrawork or ulw in your prompt. That's it.

ulw add authentication to my Next.js app

The agent will automatically:

1. Explore your codebase to understand existing patterns
2. Research best practices via specialized background agents
3. Implement the feature following your conventions
4. Verify with diagnostics and tests
5. Keep working until 100% complete

Mode 2: Prometheus (Precise Planned Work)

For complex or critical tasks:

1. Press Tab → switches to Prometheus (Planner) mode
2. Describe your work → Prometheus interviews you, asking clarifying questions while researching your codebase
3. Confirm the plan → review generated plan in .sisyphus/plans/*.md
4. Run /start-work → Atlas orchestrator takes over:

• Distributes tasks to specialized sub-agents
• Verifies each task completion independently
• Accumulates learnings across tasks
• Tracks progress across sessions (resume anytime)

Critical rule: Do NOT use Atlas without /start-work. Prometheus and Atlas are a pair — always use them together.

---

Agents

All agents are enabled by default. Each has a default model and provider priority fallback chain.

| Agent | Role | Default Model | Provider Priority Chain | |-------|------|---------------|------------------------| | Sisyphus | Primary orchestrator | claude-opus-4-5 | anthropic → kimi-for-coding → zai-coding-plan → openai → google | | Sisyphus-Junior | Focused task executor (used by delegate_task with categories) | Determined by category | Per-category chain | | Hephaestus | Autonomous deep worker — goal-oriented, explores before acting | gpt-5.2-codex (medium) | openai → github-copilot → opencode (requires gpt-5.2-codex) | | Oracle | Architecture, debugging, high-IQ reasoning (read-only) | gpt-5.2 | openai → google → anthropic | | Librarian | Official docs, OSS search, remote codebase analysis | glm-4.7 | zai-coding-plan → opencode → anthropic | | Explore | Fast codebase grep (contextual search) | claude-haiku-4-5 | anthropic → github-copilot → opencode | | Multimodal Looker | Image/PDF/diagram analysis | gemini-3-flash | google → openai → zai-coding-plan → kimi-for-coding → anthropic → opencode | | Prometheus | Work planner (interview-based plan generation) | claude-opus-4-5 | anthropic → kimi-for-coding → openai → google | | Metis | Pre-planning consultant (ambiguity/failure-point analysis) | claude-opus-4-5 | anthropic → kimi-for-coding → openai → google | | Momus | Plan reviewer (clarity, verifiability, completeness) | gpt-5.2 | openai → anthropic → google | | Atlas | Plan orchestrator (executes Prometheus plans via /start-work) | k2p5 / claude-sonnet-4-5 | kimi-for-coding → opencode → anthropic → openai → google | | OpenCode-Builder | Default build agent (disabled by default when Sisyphus is active) | System default | System default |

Agent Invocation

Agents are invoked via delegate_task() or the --agent CLI flag — NOT with @ prefix.

// Invoke a specific agent
delegate_task(subagent_type="oracle", prompt="Review this architecture...")

// Invoke via category (routes to Sisyphus-Junior with category model)
delegate_task(category="visual-engineering", load_skills=["frontend-ui-ux"], prompt="...")

// Background execution (non-blocking)
delegate_task(subagent_type="explore", run_in_background=true, prompt="Find auth patterns...")

CLI:

opencode --agent oracle
opencode run --agent librarian "Explain how auth works in this codebase"

When to Use Which Agent

| Situation | Agent | |-----------|-------| | General coding tasks | Sisyphus (default) | | Autonomous goal-oriented deep work | Hephaestus (requires gpt-5.2-codex) | | Architecture decisions, debugging after 2+ failures | Oracle | | Looking up library docs, finding OSS examples | Librarian | | Finding code patterns in your codebase | Explore | | Analyzing images, PDFs, diagrams | Multimodal Looker | | Complex multi-day projects needing a plan | Prometheus + Atlas (via Tab → /start-work) | | Pre-planning scope analysis | Metis | | Reviewing a generated plan for gaps | Momus | | Quick single-file changes | delegate_task with quick category |

---

Categories

Categories route tasks to Sisyphus-Junior with domain-optimized models via delegate_task().

| Category | Default Model | Variant | Provider Priority Chain | Best For | |----------|---------------|---------|------------------------|----------| | visual-engineering | gemini-3-pro | — | google → anthropic → zai-coding-plan | Frontend, UI/UX, design, styling, animation | | ultrabrain | gpt-5.2-codex | xhigh | openai → google → anthropic | Deep logical reasoning, complex architecture | | deep | gpt-5.2-codex | medium | openai → anthropic → google | Goal-oriented autonomous problem-solving (Hephaestus-style) | | artistry | gemini-3-pro | max | google → anthropic → openai | Creative/novel approaches, unconventional solutions | | quick | claude-haiku-4-5 | — | anthropic → google → opencode | Trivial tasks, single file changes, typo fixes | | unspecified-low | claude-sonnet-4-5 | — | anthropic → openai → google | General tasks, low effort | | unspecified-high | claude-opus-4-5 | max | anthropic → openai → google | General tasks, high effort | | writing | gemini-3-flash | — | google → anthropic → zai-coding-plan → openai | Documentation, prose, technical writing |

Category Usage

delegate_task(category="visual-engineering", load_skills=["frontend-ui-ux"], prompt="Create a dashboard component")
delegate_task(category="ultrabrain", load_skills=[], prompt="Design the payment processing flow")
delegate_task(category="quick", load_skills=["git-master"], prompt="Fix the typo in README.md")
delegate_task(category="deep", load_skills=[], prompt="Investigate and fix the memory leak in the worker pool")

Critical: Model Resolution Priority

Categories do NOT use their built-in defaults unless configured. Resolution order:

1. User-configured model (in oh-my-opencode.json) — highest priority
2. Category's built-in default (if category is in config)
3. System default model (from opencode.json) — fallback

To use optimal models, add categories to your config. See [references/configuration.md](references/configuration.md).

---

Built-in Skills

| Skill | Purpose | Usage | |-------|---------|-------| | playwright | Browser automation via Playwright MCP (default browser engine) | load_skills=["playwright"] | | agent-browser | Vercel's agent-browser CLI with session management | Switch via browser_automation_engine config | | git-master | Git expert: atomic commits, rebase/squash, history search | load_skills=["git-master"] | | frontend-ui-ux | Designer-turned-developer for stunning UI/UX | load_skills=["frontend-ui-ux"] |

Skills are injected into subagents via delegate_task(load_skills=[...]).

---

Slash Commands

| Command | Description | |---------|-------------| | /init-deep | Initialize hierarchical AGENTS.md knowledge base | | /start-work | Execute a Prometheus plan with Atlas orchestrator | | /ralph-loop | Start self-referential development loop until completion | | /ulw-loop | Start ultrawork loop — continues until completion | | /cancel-ralph | Cancel active Ralph Loop | | /refactor | Intelligent refactoring with LSP, AST-grep, architecture analysis, TDD | | /stop-continuation | Stop all continuation mechanisms (ralph loop, todo continuation, boulder) |

---

Process Management

Background Agents

Fire multiple agents in parallel for exploration and research:

// Launch background agents (non-blocking)
delegate_task(subagent_type="explore", run_in_background=true, prompt="Find auth patterns in codebase")
delegate_task(subagent_type="librarian", run_in_background=true, prompt="Find JWT best practices")

// Collect results when needed
background_output(task_id="bg_abc123")

// Cancel all background tasks before final answer
background_cancel(all=true)

Concurrency Configuration

{
  "background_task": {
    "defaultConcurrency": 5,
    "staleTimeoutMs": 180000,
    "providerConcurrency": { "anthropic": 3, "google": 10 },
    "modelConcurrency": { "anthropic/claude-opus-4-5": 2 }
  }
}

Priority: modelConcurrency > providerConcurrency > defaultConcurrency

Tmux Integration

Run background agents in separate tmux panes for visual multi-agent execution:

{
  "tmux": {
    "enabled": true,
    "layout": "main-vertical",
    "main_pane_size": 60
  }
}

Requires running OpenCode in server mode inside a tmux session:

tmux new -s dev
opencode --port 4096

Layout options: main-vertical (default), main-horizontal, tiled, even-horizontal, even-vertical

---

Parallel Execution Patterns

Pattern 1: Explore + Librarian (Research Phase)

// Internal codebase search
delegate_task(subagent_type="explore", run_in_background=true, prompt="Find how auth middleware is implemented")
delegate_task(subagent_type="explore", run_in_background=true, prompt="Find error handling patterns in the API layer")

// External documentation search
delegate_task(subagent_type="librarian", run_in_background=true, prompt="Find official JWT documentation and security recommendations")

// Continue working immediately — collect results when needed

Pattern 2: Category-Based Delegation (Implementation Phase)

// Frontend work → visual-engineering category
delegate_task(category="visual-engineering", load_skills=["frontend-ui-ux"], prompt="Build the settings page")

// Quick fix → quick category
delegate_task(category="quick", load_skills=["git-master"], prompt="Create atomic commit for auth changes")

// Hard problem → ultrabrain category
delegate_task(category="ultrabrain", load_skills=[], prompt="Design the caching invalidation strategy")

Pattern 3: Session Continuity

// First delegation returns a session_id
result = delegate_task(category="quick", load_skills=["git-master"], prompt="Fix the type error")
// session_id: "ses_abc123"

// Follow-up uses session_id to preserve full context
delegate_task(session_id="ses_abc123", prompt="Also fix the related test file")

---

CLI Reference

Core Commands

opencode                           # Start TUI
opencode --port 4096               # Start TUI with server mode (for tmux integration)
opencode -c                        # Continue last session
opencode -s            # Continue specific session
opencode --agent       # Start with specific agent
opencode -m provider/model         # Start with specific model

Non-Interactive Mode

opencode run "Explain closures in JavaScript"
opencode run --agent oracle "Review this architecture"
opencode run -m openai/gpt-5.2 "Complex reasoning task"
opencode run --format json "Query"    # Raw JSON output

Auth & Provider Management

opencode auth login                # Add/configure a provider
opencode auth list                 # List authenticated providers
opencode auth logout               # Remove a provider
opencode models                    # List all available models
opencode models anthropic          # List models for specific provider
opencode models --refresh          # Refresh models cache

Session Management

opencode session list              # List all sessions
opencode session list -n 10        # Last 10 sessions
opencode export        # Export session as JSON
opencode import session.json       # Import session
opencode stats                     # Token usage and cost statistics
opencode stats --days 7            # Stats for last 7 days

Plugin & MCP Management

bunx oh-my-opencode install        # Install/configure oh-my-opencode
bunx oh-my-opencode doctor         # Diagnose configuration issues
opencode mcp list                  # List configured MCP servers
opencode mcp add                   # Add an MCP server

Server Mode

opencode serve --port 4096         # Headless server
opencode web --port 4096           # Server with web UI
opencode attach http://localhost:4096  # Attach TUI to running server

---

Built-in MCPs

Oh My OpenCode includes these MCP servers out of the box:

| MCP | Tool | Purpose | |-----|------|---------| | Exa | web_search_exa | Web search with clean LLM-ready content | | Context7 | resolve-library-id, query-docs | Official library/framework documentation lookup | | Grep.app | searchGitHub | Search real-world code examples from public GitHub repos |

---

Hooks

All hooks are enabled by default. Disable specific hooks via disabled_hooks config:

| Hook | Purpose | |------|---------| | todo-continuation-enforcer | Forces agent to continue if it quits halfway | | context-window-monitor | Monitors and manages context window usage | | session-recovery | Recovers sessions after crashes | | session-notification | Notifies on session events | | comment-checker | Prevents AI from adding excessive code comments | | grep-output-truncator | Truncates large grep outputs | | tool-output-truncator | Truncates large tool outputs | | directory-agents-injector | Injects AGENTS.md from subdirectories (auto-disabled on OpenCode 1.1.37+) | | directory-readme-injector | Injects README.md context | | empty-task-response-detector | Detects and handles empty task responses | | think-mode | Extended thinking mode control | | anthropic-context-window-limit-recovery | Recovers from Anthropic context limits | | rules-injector | Injects project rules | | background-notification | Notifies when background tasks complete | | auto-update-checker | Checks for oh-my-opencode updates | | startup-toast | Shows startup notification (sub-feature of auto-update-checker) | | keyword-detector | Detects keywords like ultrawork/ulw to trigger modes | | agent-usage-reminder | Reminds to use specialized agents | | non-interactive-env | Handles non-interactive environments | | interactive-bash-session | Manages interactive bash/tmux sessions | | compaction-context-injector | Injects context during compaction | | thinking-block-validator | Validates thinking blocks | | claude-code-hooks | Claude Code compatibility hooks | | ralph-loop | Ralph Loop continuation mechanism | | preemptive-compaction | Triggers compaction before context overflow | | auto-slash-command | Auto

…

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: MetaMask
• Source: MetaMask/skills
• License: MIT

Install and usage instructions live in the source repository linked above.