A comparison of two AI coding agent orchestration plugins: Oh My OpenCode (OMO) and Oh My ClaudeCode (OMC). Covers philosophy, architecture, features, and when each is a better fit. Information as of 2026-02-13.
Korean original: Oh My OpenCode vs Oh My ClaudeCode — 종합 비교 분석dev/ai-agent/omo-vs-omc
| Oh My OpenCode (OMO) | Oh My ClaudeCode (OMC) | |
|---|---|---|
| Author | code-yeongyu | Yeachan-Heo |
| GitHub stars (approx.) | 30.9k | 6.0k |
| Latest release (at time of writing) | v3.5.3 (2026-02-12) | v4.2.6 (2026-02-13) |
| Base platform | OpenCode (Go, SST) | Claude Code (Anthropic official CLI) |
| License | SUL-1.0 (custom) | MIT |
| Slogan | "the best agent harness" | "Teams-first Multi-agent orchestration" |
| Relationship | Original | Inspired by OMO ("Inspired by oh-my-opencode") |
| GitHub | https://github.com/code-yeongyu/oh-my-opencode | https://github.com/Yeachan-Heo/oh-my-claudecode |
"If Claude Code is macOS, OpenCode is Linux. Oh My OpenCode is Ubuntu."
The core philosophy is model sovereignty: avoid vendor lock-in; let users pick the best model/provider per agent.
"Don't learn Claude Code. Just use OMC."
The core philosophy is team-first, staged quality assurance: specialized agents follow a real development pipeline and validate completion with evidence.
A deliberately small set of "core" agents, plus categories that can map to different providers/models.
OMC explicitly models lanes (build/analysis, review, domain specialists, product, coordination) and routes tasks accordingly.
OMO: fewer agents + maximum freedom to pick providers/models. "A mercenary squad where you choose the best weapon for each fight."
OMC: many role-specialized agents with dedicated prompts. "A structured organization with clear responsibilities."
| OMO | OMC | |
|---|---|---|
| Model control | Pick provider/model/variant per agent | Tier-based routing (haiku/sonnet/opus) |
| External models | First-class (OpenAI/Gemini/Ollama, etc.) | Secondary via MCP (Codex CLI, Gemini CLI) |
| Local models | Yes (Ollama) | No |
| Provider stance | multi-provider by design | Claude-native + optional external cross-check |
Example (OMO-style) model mapping:
{
"agents": {
"sisyphus": { "model": "anthropic/claude-opus-4-6", "variant": "max" },
"hephaestus": { "model": "openai/gpt-5.3-codex", "variant": "medium" },
"oracle": { "model": "openai/gpt-5.2", "variant": "high" }
},
"categories": {
"visual-engineering": { "model": "google/gemini-3-pro" },
"ultrabrain": { "model": "openai/gpt-5.3-codex", "variant": "xhigh" }
}
}
This level of per-agent provider control is a core differentiator for OMO.
| OMO v3.5.3 | OMC v4.1.9 | |
|---|---|---|
| Total hooks | 44 | 31 |
Shared core hooks include items like todo continuation, keyword detection, session recovery, and edit error recovery.
| Mode | OMO | OMC | Primary use |
|---|---|---|---|
Ultrawork (ulw) |
Yes | Yes | maximum parallelism |
| Ralph | Yes | Yes | persistence via verify/fix loops |
| Team | No | Yes (recommended) | staged pipeline (plan->prd->exec->verify->fix) |
| Autopilot | No | Yes | single-lead autonomous execution |
| Ecomode | No | Yes | token/cost optimization |
| Pipeline | No | Yes | sequential chaining |
Think mode (ultrathink) |
Yes | No | extended reasoning |
| Hephaestus | Yes | No | goal-driven autonomous executor |
| OMO | OMC | |
|---|---|---|
| Built-in skills | 5 | 37 |
| Built-in MCP | 3 | 3 (OMC tools + Codex CLI + Gemini CLI) |
| Skill portability | Claude Code skills can be loaded (compat layer) | native |
OMO's Claude Code compatibility layer can make "write once, reuse across both" workflows possible.
| Scenario | Recommended | Why |
|---|---|---|
| Frontend UI/UX consistency | OMO | direct Gemini usage (1M context) |
| Fast bug fix & exploration | OMO | lightweight runtime + fast search agent |
| Logic-heavy / math-heavy tasks where Codex shines | OMO | can route to Codex variants directly |
| Writing/docs work | OMO | route writing to a best-fit model/category |
| Long autonomous execution | OMO | Hephaestus + persistence loops |
| Experimenting with many models/providers | OMO | designed for it |
| Local/offline workflows | OMO | Ollama |
| Large refactors with staged quality gates | OMC | Team pipeline |
| Code review / security review | OMC | dedicated specialist reviewers |
| Architecture design and plan critique | OMC | analyst->planner->critic lanes |
| Product thinking (PM/UX research) | OMC | product lane |
| Token budget savings | OMC | ecomode |
Both projects share a "Sisyphus" vibe and similar hook naming patterns. OMC started with inspiration from OMO, but evolved in a different direction.
OMO -> hacker / power-user direction (model freedom, terminal purity)
OMC -> team / enterprise direction (specialization, process, memory)
Because OMO can load Claude Code skills via a compatibility layer, skills you write once may be usable in both ecosystems.
OMO is a duelist who chooses the best weapon (model) per fight. OMC is a commander who runs a 28-person specialist organization.