oh-my-agent: Portable Multi-Agent Harness

한국어 | 中文 | Português | 日本語 | Français | Español | Nederlands | Polski | Русский | Deutsch | Tiếng Việt | ภาษาไทย

Ever wished your AI assistant had coworkers? That's what oh-my-agent does.

Instead of one AI doing everything (and getting confused halfway through), oh-my-agent splits work across specialized agents — frontend, backend, architecture, QA, PM, DB, mobile, infra, debug, design, and more. Each one knows its domain deeply, has its own tools and checklists, and stays in its lane.

Works with all major AI IDEs: Antigravity, Claude Code, Cursor, Gemini CLI, Codex CLI, OpenCode, and more.

Quick Start

# macOS / Linux — auto-installs bun, uv & serena if missing
curl -fsSL https://raw.githubusercontent.com/first-fluke/oh-my-agent/main/cli/install.sh | bash

# Windows (PowerShell) — auto-installs bun, uv & serena if missing
irm https://raw.githubusercontent.com/first-fluke/oh-my-agent/main/cli/install.ps1 | iex

# Or manual (any OS, requires bun + uv + serena)
bunx oh-my-agent@latest

Install via Agent Package Manager

Microsoft's Agent Package Manager (APM) — skills-only distribution. Click to expand.

Not to be confused with oma-observability's APM (Application Performance Monitoring).

# All skills, deployed to every detected runtime
# (.claude, .cursor, .codex, .opencode, .github, .agents)
apm install first-fluke/oh-my-agent

# A single skill
apm install first-fluke/oh-my-agent/.agents/skills/oma-frontend

APM ships skills only. For workflows, rules, oma-config.yaml, keyword-detection hooks, and the oma agent:spawn CLI, use bunx oh-my-agent@latest. Pick one distribution per project to avoid drift.

Pick a preset and you're ready:

Preset	What You Get
All	Every agent and skill
Backend	architecture + backend + brainstorm + db + debug + dev-workflow + pm + qa + scm
Content	academic-writer + design + image + scm + translator + voice
DevOps	architecture + brainstorm + debug + dev-workflow + observability + pm + qa + scm + tf-infra
Frontend	architecture + brainstorm + debug + design + frontend + pm + qa + scm
Fullstack	architecture + backend + brainstorm + db + debug + design + dev-workflow + frontend + mobile + pm + qa + scm + tf-infra
Fullstack Mobile	architecture + backend + brainstorm + db + debug + design + dev-workflow + mobile + pm + qa + scm
Fullstack Web	architecture + backend + brainstorm + db + debug + design + dev-workflow + frontend + pm + qa + scm
Mobile	architecture + brainstorm + debug + mobile + pm + qa + scm
Research	academic-writer + hwp + market + pdf + scholar + scm + search + translator

Works With Every Agent

oh-my-agent keeps .agents/ as the single source of truth and projects it into each runtime's native layout, so every supported tool shares the same skills, workflows, and rules.

Claude Code native + adapter	Codex CLI native + adapter	Gemini CLI native + adapter	Cursor native + adapter	Qwen Code native dispatch	Grok native hooks
Antigravity native SSOT	OpenCode native-compatible	Amp native-compatible	GitHub Copilot symlinked skills	& more support matrix →

Your Agent Team

Agent	What They Do
oma-academic-writer	Drafts, revises, and audits academic prose to publication quality.
oma-architecture	Weighs architecture tradeoffs and draws module boundaries, with ADR/ATAM/CBAM analysis.
oma-backend	Builds and secures your APIs in Python, Node.js, or Rust.
oma-brainstorm	Explores ideas with you before you commit to building.
oma-db	Designs your schema, migrations, indexes, and vector stores.
oma-debug	Finds the root cause, fixes the bug, and writes a regression test.
oma-deepsec	Scans your code for security holes and blocks risky pull requests.
oma-design	Builds design systems with tokens, accessibility, and responsive layouts.
oma-dev-workflow	Automates your CI/CD, releases, and monorepo tasks.
oma-docs	Checks your docs for broken references and flags ones a code change touched.
oma-frontend	Builds your UI with React/Next.js, TypeScript, Tailwind CSS v4, and shadcn/ui.
oma-hwp	Converts HWP, HWPX, and HWPML files to Markdown.
oma-image	Generates images through several AI providers at once.
oma-market	Researches your market from community signals and frames it with SWOT, 5F, and PESTEL.
oma-mobile	Builds cross-platform mobile apps with Flutter.
oma-observability	Routes observability work across metrics, logs, traces, SLOs, and incident forensics.
oma-orchestrator	Runs multiple agents in parallel from the CLI.
oma-pdf	Converts PDF files to Markdown.
oma-pm	Plans tasks, breaks down requirements, and defines API contracts.
oma-qa	Reviews your code for OWASP security, performance, and accessibility issues.
oma-recap	Recaps your conversation history into themed work summaries.
oma-scholar	Searches academic literature and helps you run peer review.
oma-scm	Manages your branches, merges, worktrees, and Conventional Commits.
oma-search	Routes each query to the best source and scores how much you can trust the result.
oma-skill-creator	Writes and audits new OMA skills in the SSL-lite format.
oma-tf-infra	Provisions multi-cloud infrastructure with Terraform.
oma-translator	Translates between languages so it reads like a native wrote it.
oma-voice	Generates voiceovers and transcribes audio on-device, no cloud needed.

How It Works

Just chat. Describe what you want and oh-my-agent figures out which agents to use.

You: "Build a TODO app with user authentication"
→ PM plans the work
→ Backend builds auth API
→ Frontend builds React UI
→ DB designs schema
→ QA reviews everything
→ Done: coordinated, reviewed code

Or use slash commands for structured workflows:

Step	Command	What It Does
0	/deepinit	Bootstrap an existing codebase (AGENTS.md, ARCHITECTURE.md, docs/)
1	/brainstorm	Free-form ideation
2	/architecture	Software architecture review, tradeoffs, ADR/ATAM/CBAM-style analysis
2	/design	7-phase design system workflow
2	/plan	PM breaks down your feature into tasks
3	/work	Step-by-step multi-agent execution
3	/orchestrate	Automated parallel agent spawning
3	/ultrawork	5-phase quality workflow with 11 review gates
3	/ralph	Wraps /ultrawork in an independent verifier loop until criteria pass
4	/review	Security + performance + accessibility audit
4	/deepsec	Deep agent-powered security scan
5	/debug	Structured root-cause debugging
5	/docs	Documentation drift verify + sync via oma-docs
6	/scm	SCM + Git workflow and Conventional Commit support

Auto-detection: You don't even need slash commands — keywords like "architecture", "plan", "review", and "debug" in your message (in 11 languages!) auto-activate the right workflow.

CLI

# Install globally
bun install --global oh-my-agent   # or: brew install oh-my-agent

# Use anywhere (sorted alphabetically)
oma agent:parallel -i backend:"Auth API" frontend:"Login form"
oma agent:spawn backend "Build auth API" session-01
oma dashboard               # Real-time agent monitoring
oma doctor                  # Health check
oma image generate "cat"    # Multi-vendor AI image generation
oma link                    # Regenerate .claude/.codex/.gemini/etc. from .agents/
oma model:check             # Detect drift between registered models and live vendor lists
oma recap --window 1d       # Cross-tool conversation history recap
oma retro 7d --compare      # Engineering retrospective with metrics + trends
oma search fetch <url>      # Mechanical search with auto-escalating strategies

Model selection follows two layers:

• Same-vendor native dispatch uses the generated vendor agent definition in .claude/agents/, .codex/agents/, or .gemini/agents/.
• Cross-vendor or fallback CLI dispatch uses the vendor defaults in .agents/skills/oma-orchestrator/config/cli-config.yaml.

Per-Agent Models

Set model_preset in .agents/oma-config.yaml to choose which AI models each agent uses:

language: en
model_preset: mixed   # antigravity | claude | codex | cursor | grok | mixed | qwen

# Optional per-agent overrides
agents:
  backend: { model: openai/gpt-5.5, effort: high }

• oma doctor --profile — prints the per-role resolved model matrix
• Full guide: web/docs/guide/per-agent-models.md

Why oh-my-agent?

Read why →

• Portable — .agents/ travels with your project, not trapped in one IDE
• Role-based — Agents modeled like a real engineering team, not a pile of prompts
• Token-efficient — Two-layer skill design saves ~75% of tokens
• Quality-first — Charter preflight, quality gates, and review workflows built in:
  • oma verify <agent> — 14 deterministic checks per agent type (TypeScript strict, tests, raw SQL, hardcoded secrets, Flutter analyze, inline styles, scope violation, charter alignment, …)
  • session.quota_cap — per-session token / spawn / per-vendor budget caps in oma-config.yaml; orchestrate Step 5 blocks the next spawn when exceeded
  • ralph workflow — independent JUDGE re-verifies every criterion each iteration to catch silent regressions; heavy-test caching for >30s suites
  • Exploration Loop — after 2 retries, orchestrate spawns hypothesis variants in parallel and keeps the highest-scoring result
  • Monorepo auto-routing — detectWorkspace reads pnpm / nx / turbo / lerna and routes each agent to its workspace
• Multi-vendor — Mix Claude, Codex, Cursor, and Qwen per agent type
• Observable — Terminal and web dashboards for real-time monitoring

Architecture

flowchart TD
    subgraph Workflows["Workflows"]
        direction TB
        W0["/brainstorm"]
        W1["/work"]
        W1b["/ultrawork"]
        W2["/orchestrate"]
        W3["/architecture"]
        W4["/plan"]
        W5["/review"]
        W6["/debug"]
        W7["/deepinit"]
        W8["/design"]
    end

    subgraph Orchestration["Orchestration"]
        direction TB
        PM[oma-pm]
        ORC[oma-orchestrator]
    end

    subgraph Domain["Domain Agents"]
        direction TB
        ARC[oma-architecture]
        FE[oma-frontend]
        BE[oma-backend]
        DB[oma-db]
        MB[oma-mobile]
        DES[oma-design]
        TF[oma-tf-infra]
    end

    subgraph Quality["Quality"]
        direction TB
        QA[oma-qa]
        DBG[oma-debug]
    end

    Workflows --> Orchestration
    Orchestration --> Domain
    Domain --> Quality
    Quality --> SCM([oma-scm])

Loading

Learn More

• Detailed Documentation — Full technical spec and architecture
• Supported Agents — Agent support matrix across IDEs
• Web Docs — Guides, tutorials, and CLI reference

Sponsors

This project is maintained thanks to our generous sponsors.

Like this project? Give it a star!

gh api --method PUT /user/starred/first-fluke/oh-my-agent

Try our optimized starter template: fullstack-starter

🚀 Champion

🛸 Booster

☕ Contributor

Become a sponsor →

See SPONSORS.md for a full list of supporters.

Star History

References

• Liang, Q., Wang, H., Liang, Z., & Liu, Y. (2026). From skill text to skill structure: The scheduling-structural-logical representation for agent skills (Version 2) [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2604.24026
• Chen, C., Yu, Q., Gu, Y., Huang, Z., Li, H., Liu, H., Liu, S., Liu, J., Peng, D., Wang, J., Yan, Z., Meng, F., Qin, E., Che, C., & Hu, M. (2026). The scaling laws of skills in LLM agent systems (Version 1) [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2605.16508

License

MIT