AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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oh-my-agent: The Multi-Agent Harness That Checks the Work
Agents narrate success. oh-my-agent checks the artifacts.
Spawning parallel agents is the easy part. The hard part is knowing whether they actually did the work. "Tests pass, all criteria met" costs an agent nothing to say, and nothing inside that same session can contradict it.查看完整 README ↗Ship 400+ commits a day.
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oh-my-agent (oma) turns Claude Code, Codex CLI, Cursor and 11 other coding agents into a team. A planner splits the work, engineers build in parallel, a reviewer checks the result, and a debugger fixes the root cause.
Run this from your project root.
curl -fsSL https://raw.githubusercontent.com/first-fluke/oh-my-agent/main/cli/install.sh | bash
Then open your agent and type /orchestrate build a TODO app with login.
Pick a task. Load one skill into the agent you already use, or install the whole team.
| Your task | Start here | First request |
|---|---|---|
| Review AI-written code | bunx skills use first-fluke/oh-my-agent@oma-qa | "Review this diff for bugs and missing checks. Cite the affected lines." |
| Design an admin screen | bunx skills use first-fluke/oh-my-agent@oma-design | "Review the hierarchy and table density of our admin page." |
| Fix a failing test | bunx skills use first-fluke/oh-my-agent@oma-debug | "Reproduce this test failure, fix its cause, and run the affected checks." |
| Review system boundaries | bunx skills use first-fluke/oh-my-agent@oma-architecture | "Review the boundary between our API and worker." |
| Run the whole team | Install oma | /orchestrate add login to this app |
Run the skills use command in your agent's terminal. It loads that one skill. For the full team with workflows, install oma. Other options are in Choose a setup.
After installing, run oma doctor. Your first 5 minutes starts with a read-only task before team workflows.
Workflows are what you type (or just say). They call in roles, the specialists. Skills are the know-how: each role carries its own, and your agent loads the rest whenever a task needs them.
| What it gives you | Try it | |
|---|---|---|
| 12 specialist roles | PM, architect, backend, frontend, mobile, database and infra engineers, QA reviewer, debugger, refactorer, docs curator, researcher (meet them) | /orchestrate build a TODO app with login |
| 21 workflows | Slash commands from /brainstorm and /plan to /review, /debug and /scm. Most also start from a plain request (keyword banks in up to 11 languages) | "review this PR" |
| 33 skills | Domain know-how that loads only when a task needs it: UI, APIs, schemas, Terraform, CI, security, git, observability | loads by itself, e.g. "add a Terraform S3 bucket" |
| Files you can open | Plans, design docs, API contracts, ADRs, bug notes, per-agent results, security evidence, HTML explainers, recaps | ls .agents/results |
| Research and content | Cited search, market research, papers, slide decks, MP4 videos, images, local voice, PDF/HWP to Markdown | /video, /convert |
| One folder, 14 runtimes | One portable .agents/ directory, written into each runtime's own config files | oma link cursor |
Install · First 5 minutes · The team · Which workflow? · Everything in the box · Works with · FAQ · Docs
The script installs bun if it is missing, installs the oma command globally (bun install --global oh-my-agent, skipped when oma is already on your PATH), then starts the interactive setup. The hooks (keyword detection and the Stop gate) and several workflows call the globally installed oma command. The hooks silently do nothing if they cannot find it. If you skip the script, install it yourself with bun install --global oh-my-agent (npm install --global oh-my-agent or brew install oh-my-agent also work).
# Windows (PowerShell)
irm https://raw.githubusercontent.com/first-fluke/oh-my-agent/main/cli/install.ps1 | iex
# Any OS with bun installed: the same setup, plus the global `oma` command
bun install --global oh-my-agent
oma
On Windows the installer hides Antigravity, Hermes, and Kimi, and the hook wrapper is a bash script. The default Aside browser MCP installs through bash, so deselect it if you have no bash.
The setup asks for your response language, which agent runtimes to wire up, capability providers, a browser MCP, a model preset, and a skill preset. Choose All for the skill references used across every workflow: domain presets omit some of those skills. Provider availability and task verification remain separate checks.
Choose a preset explicitly when you want a domain's skills:
oma install --preset frontend --yes
This selects the eight frontend-preset skills. The installer still configures the runtime, providers, and shared workflow files, and retains previously installed skills. Custom selection is available in the interactive installer. See preset values and workflow dependencies.
uv tool install), and CUE (brew install cue or winget), and continues with a warning if any of them fails.curl -fsSL https://releases.aside.com/install.sh | bash only if you keep it selected. Deselect it in the browser MCP step, or change it later with oma update mcp.bun install -g @agentmemory/agentmemory and registers it as a login service (launchd, systemd user unit, or Windows scheduled task). Choose provider none or set OMA_NO_AGENTMEMORY=1 to skip it.$HOME without --global it asks for confirmation.~/.claude.json (marks the project as a trusted Claude Code workspace), ~/.serena/ (OMA context, answer-size floor, project registration), ~/.cursor/cli-config.json (turns off Cursor's commit attribution), ~/.grok/config.toml (telemetry), and ~/.gemini/antigravity-cli/ (HUD), each only for a vendor you selected.DISABLE_TELEMETRY=1, which also turns off Claude Code Remote Control; Gemini, Qwen, Codex, and Grok usage stats). Set telemetry: true to keep vendor defaults.memory.enableManagedAutoMemory: false when the setting is absent. Explicit true or false preferences and other memory settings are preserved..claude/settings.json, including skipDangerousModePermissionPrompt: true, effortLevel: high, cleanupPeriodDays: 180, and env flags that turn off auto memory, adaptive thinking, error reporting, and built-in git instructions. Values you already set are kept.Co-Authored-By: First Fluke <[email protected]> and PRs get a "Generated with oh-my-agent" line. Set scm.co_author.enabled: false to turn this off.| Preset | Skills |
|---|---|
| All | All 33 skills (recommended) |
| Fullstack | architecture, backend, brainstorm, db, debug, design, dev-workflow, frontend, mobile, pm, qa, scm, tf-infra |
| Fullstack Web | Fullstack without mobile and tf-infra |
| Fullstack Mobile | Fullstack without frontend and tf-infra |
| Frontend | architecture, brainstorm, debug, design, frontend, pm, qa, scm |
| Backend | architecture, backend, brainstorm, db, debug, dev-workflow, pm, qa, scm |
| Mobile | architecture, brainstorm, debug, mobile, pm, qa, scm |
| DevOps | architecture, brainstorm, debug, dev-workflow, observability, pm, qa, scm, tf-infra |
| Research | academic-writing, hwp, market, pdf, scholar, scm, search, translation |
| Content | academic-writing, design, image, scm, translation, voice |
| Custom | Pick skills one by one |
Of the named presets, only All includes coordination, orchestration, docs, security, refactor, explanation, recap, video, slide, and skill-creation (or pick them under Custom). Research and Content lack the skills behind /plan, /review, /debug, /architecture, and /brainstorm. See Workflows that need skills outside a preset.
Choose your setup. For the task below, load oma-scm with bunx skills use first-fluke/oh-my-agent@oma-scm, or use the runtime install command above. Choose a setup explains both paths.
For a runtime installation, check the install:
oma doctor
The report shows CLI and skill-file status. Its skill counts reflect the files present, including retained skills; they can differ from the current preset's selection. If oma is not found, open a new terminal or run bun install --global oh-my-agent.
Open an existing Git repository and run one read-only task. oma-scm is included in every named preset; include it when using Custom selection.
Use oma-scm to inspect this repository's current branch and working tree. Do not edit, stage, commit, or contact remotes. Report staged, unstaged, and untracked changes, with the Git commands and exit statuses actually observed.
Check the result. The reported branch and changes should match the Git output. Loading instructions or completing installation does not establish that this task ran.
For larger work, choose a workflow whose referenced skills are installed. Start with /plan when its planning skill is present, then continue with /work or /orchestrate when their dependencies are available.
Your own agent leads the team. In /work, /orchestrate and /ultrawork it hands each job to the right specialist, which runs as its own subagent. /plan, /architecture and /docs run in your current session with that role's skill, and /review and /debug call in their specialist for large scopes. When a role is on another vendor's CLI, oma agent spawn runs it there.
| Your specialist | Carries | Call them with | Leaves behind |
|---|---|---|---|
Product manager (pm-planner) | oma-pm | /plan, or "plan the payment feature" | A plan JSON and a tracker in docs/plans/work/ for Medium and Complex work (Simple requests get a direct recommendation) |
Architect (architecture-reviewer) | oma-architecture | /architecture | An ADR or recommendation in .agents/results/architecture/ |
| Backend, frontend, mobile, database and infra engineers | oma-backend, oma-frontend + oma-design, oma-mobile, oma-db, oma-tf-infra | /work, /orchestrate | Code, tests, and a result-<agent> file per task |
QA reviewer (qa-reviewer) | oma-qa | /review, or "review this PR" | Findings ranked CRITICAL to LOW, each with file:line and fix code |
Debugger (debug-investigator) | oma-debug | /debug, or "fix this bug" | A minimal fix, a regression test, and a bug note in .agents/results/bugs/ when one is warranted |
| Your specialist | Carries | Call them with | Leaves behind |
|---|---|---|---|
Refactorer (refactor-engineer) | oma-refactor | /ultrawork's REFINE phase | Behavior-preserving refactor: commits and a result-refactor-<session>.md report |
Docs curator (docs-curator) | oma-docs | /docs, or "verify docs" | docs/generated/doc-refs.json and the doc patches you approve |
Researcher (research-explorer) | oma-search, oma-market, oma-scholar | a research request | Cited sources with trust labels; market briefs in .agents/results/market/ |
The infra engineer (tf-infra-engineer) is told to ask before any destructive or production apply or destroy. The remaining skills (brainstorm, security, scm, dev-workflow, observability, explanation, recap, translation, coordination, orchestration, skill-creation, content and media) have no dedicated role. Your agent loads them itself, and for most of them the skill injector suggests the right one from your prompt.
THINK /brainstorm ......................... docs/plans/designs/<NNN>-<feature>.md
PLAN /plan · /architecture ............... plan JSON, API contracts, ADR
DESIGN /design ............................. DESIGN.md + tokens
BUILD /work · /orchestrate · /ultrawork ... code + result-<agent> files, engineers in parallel
CHECK /review · /security · /debug ........ findings, security evidence, regression test
SHIP /scm · /docs ........................ Conventional Commits, doc fixes
Each step hands a file to the next. /brainstorm saves a design that /plan reads, and /plan writes a plan in which every task has an agent, dependencies, acceptance criteria and a check command. /orchestrate runs that plan (it loads the most recent plan-*.json, or writes one). /work and /ultrawork start by having the PM write their own plan. Skip any stage you don't need; every stage also works on its own.
Which workflow should run the team?
| You want | Run | How it ends |
|---|---|---|
| Just a plan | /plan | A plan file for multi-area work, or a direct recommendation for small work |
| A PM-led build you follow step by step | /work | PM, then engineers tier by tier, then QA. CRITICAL and HIGH findings go into a fix loop (up to 5 cycles) |
| A hands-off parallel build | /orchestrate | Only tasks whose checks pass count as done; each task gets up to 3 attempts, then is marked partial or failed |
| Five-phase workflow | /ultrawork | Five gated phases (PLAN, IMPL, VERIFY, REFINE, SHIP); every review runs in a fresh reviewer session |
| "Don't stop until it's really done" | /ralph | Repeats /ultrawork with a separately spawned, fresh-context judge until every criterion passes; stops with a partial report when criteria are blocked or after 5 iterations |
| The team on a timer | oma schedule create qa-reviewer "review open PRs" --every 2h | One Markdown log per run in ~/.oma/schedule/runs/<id>/ |
You don't need slash commands. On runtimes with a prompt hook, plain requests (keyword banks in up to 11 languages) can start most workflows: "review this PR" starts /review. Describing a whole app ("Build a TODO app with user authentication") suggests /orchestrate, and your agent decides whether to run it. Keywords inside code blocks are ignored.
/orchestrate, /work, /ultrawork and /ralph are persistent when you invoke them by name, as a slash command or in plain text ("ultrawork: add rate limiting"). The agent is then sent back to work when it tries to stop early (up to 5 times or 2 hours) until you say "workflow done". A loosely matching request only suggests them.
Measured, with caveats. In the benchmark (one prompt, Claude Code with five different add-on setups including plain, claude-opus-4-6, one build each), oma scored 80.6 against 70.7 for plain Claude Code, at 1.7x the cost ($4.04 vs $2.37) and 1.8x the time.
| Command | What it does |
|---|---|
/architecture | Weighs design tradeoffs and produces a recommendation, review, or ADR |
/brainstorm | Explores ideas and constraints and produces an approved design before planning |
/convert | Converts PDF/HWP to Markdown, or transcodes images, video, and audio with ffmpeg |
/debug | Reproduces a bug, fixes the root cause, writes a regression test, and scans for similar patterns |
/deepinit | Maps an existing codebase into AGENTS.md, ARCHITECTURE.md, and a docs/ knowledge base |
/design | Builds a design system, DESIGN.md, and tokens with accessibility checks |
/docs | Finds broken doc references and proposes patches for docs a diff touched |
/explain | Turns a diff, PR, branch, or topic into a self-contained interactive HTML explainer |
/orchestrate | Runs agents in parallel, coordinates them through file state, and verifies the result (persistent) |
/plan | Breaks a feature into prioritized tasks with API contracts |
/ralph | Repeats /ultrawork with a separately spawned judge, up to 5 iterations (persistent) |
/recap | Summarizes your AI conversation history for a day or period |
/review | Reviews security (OWASP Top 10), performance, accessibility (WCAG 2.2 AA), and code quality |
/schedule | Registers an agent job that runs on a recurring interval |
/scm | Handles branches, merges, conflicts, worktrees, and Conventional Commits |
/security | Scans source, agent skills, and MCP components, validates findings, and sets up CI gates |
/stack-set | Detects your tech stack and generates stack-specific references for domain skills |
/tools | Lists, enables, and disables MCP tools in plain language |
/ultrawork |
oma verify triggers evaluates the detector against a labeled English and Korean corpus of 212 prompts. CI fails above 10% false fires or 20% missed fires. Last measured: 0% missed-fire, 5.3% false-fire. Full reference: Workflows.
| Command | What it does | Writes |
|---|---|---|
/brainstorm | Asks one clarifying question at a time and proposes 2-3 approaches that work differently, then hands off to /plan. Writes no code | docs/plans/designs/<NNN>-<feature>.md |
/plan | Sizes the work as Simple, Medium or Complex; for Medium and Complex work, splits it into tasks, each with an agent, dependencies, acceptance criteria and a check command, and defines API contracts when the work crosses a boundary | .agents/results/plan-<sid>.json, docs/plans/work/<NNN>-<name>.md, contracts in .agents/results/api-contracts/ when needed |
/architecture | Reads earlier decisions first, compares at least 2 options, and marks replaced ADRs as superseded | An ADR or recommendation in .agents/results/architecture/ |
/design | Proposes 2-3 directions, then writes DESIGN.md with tokens and audits responsive layout and accessibility | DESIGN.md, CSS/Tailwind/shadcn tokens |
| Skill | Builds |
|---|---|
| oma-frontend | React/Next.js or Angular UI that follows your tokens, i18n and accessibility rules |
| oma-backend | APIs, auth and data access, layered router → service → repository |
| oma-mobile | Flutter, React Native or Swift apps |
| oma-db | Schemas, migrations, query tuning, vector/RAG retrieval plans |
| oma-tf-infra | Terraform for any cloud, with drift, destructive-change and cost risks called out |
| oma-dev-workflow | mise tasks, lint/format/typecheck, commitlint, git hooks, CI/CD and releases |
| oma-observability | OpenTelemetry, SLOs, alerting and incident forensics |
/stack-set reads your manifests and writes stack-specific references for the backend, frontend and mobile skills. In a monorepo, frontend, backend and mobile engineers are pointed at their workspace (pnpm, npm/yarn/bun workspaces, lerna, nx, turbo, mise.toml).
| Command or skill | What it does | Writes |
|---|---|---|
/review | A dependency audit, then OWASP Top 10, performance, WCAG 2.2 AA and code quality. Every finding gets file:line and fix code | The report in chat plus a memory record; no report file |
/security | Scans your source, agent skills and MCP servers (Deepsec, Cisco Skill and MCP Scanner) and, given a scoped test deployment, runs ARTEX pen tests. The workflow requires an engine that failed to run to be reported as failed, not as clean | .agents/results/security/<run-id>/ |
/debug | Reproduces the failure, fixes the root cause with a minimal change, adds a regression test, and scans for the same pattern elsewhere | The fix and test; a bug note in .agents/results/bugs/ when one is warranted |
| oma-refactor | Changes structure without changing behavior: characterization tests first, then refactor-only commits | .agents/results/refactor/ |
/scm | Conventional Commits split by logical change; branches, merges, rebases and worktrees | Commits and branches |
| Command or skill | What it does | Writes |
|---|---|---|
/deepinit | Turns an existing repo into an agent-ready knowledge base | AGENTS.md, ARCHITECTURE.md, docs/ |
/docs | Finds broken references, patches the docs a diff touched (only the patches you approve), and finds stale translations | docs/generated/doc-refs.json, patched docs |
/explain | Turns a PR, branch or staged change into an HTML walkthrough with a 5-question quiz, or a topic into a one-page visual explainer | .agents/results/explain/<date>-<slug>.html |
/recap | Summarizes your AI conversations across tools for a day or a period | .agents/results/recap/<date>.md |
| oma-translation | Translation that reads natively; placeholders, code and locale keys stay unchanged | Translated text |
| Skill | What it does | Writes |
|---|---|---|
| oma-search | Docs, web and code search, with a trust label on each source | Cited results |
| oma-market | Pain points, trends and competitors from community signals, framed with SWOT, Porter's 5 Forces and PESTEL | .agents/results/market/<topic>-<date>.md |
| oma-scholar | Paper search that reads a compact claims file (Knows format, about 700 tokens) instead of the full PDF (about 10K tokens) | <paper>.knows.yaml |
| oma-academic-writing | Drafts and audits academic prose against a rubric | Your file |
| Command or skill | What it makes | Writes |
|---|---|---|
/video | Shorts, explainers or demos as a finished MP4; keyed providers have key-free fallbacks | .agents/results/videos/<run>/ with a manifest |
| oma-slide | 1920×1080 HTML decks, exported to PDF, PNG or PPTX | .agents/results/slides/<session>/ |
| oma-image | Images through the vendor CLIs you're signed into, compared side by side | .agents/results/images/<run>/ |
| oma-voice | Local text-to-speech and transcription through the Voicebox app | .agents/results/voice/<run>/ |
/convert | PDF or HWP to Markdown; image, video and audio conversion through ffmpeg | Next to the input file |
These pipelines report a missing source or vendor key instead of silently returning a thinner result.
| Hook | What it does | Off switch / limit |
|---|---|---|
| Keyword start | Starts the matching workflow from a plain request | Questions, pasted text and code blocks are skipped |
| Skill injector | Points your agent at the right skills for the prompt | Paused while a persistent workflow is active |
| Stop gate | Sends a persistent workflow back to work; with oma goal set --gate test, the stop is allowed when that script exits 0 within 25 s | Say "workflow done"; it also releases after 5 blocks or 2 hours |
| Refactor guard | At stop, flags edited files over 500 lines for refactor-engineer | Opt-in: refactor_guard.enabled |
| Secret guard | Blocks git add of *.env, *.pem, id_rsa*, *.tfstate and similar files | Prefix that one command with OMA_SCM_ALLOW_SECRETS=1 |
| Code-search guard | Blocks native recursive search in the project so the agent uses Serena or Gortex | providers.code_intelligence_guard: off |
| Test filter | Keeps only failures and summaries from test output, so fewer tokens are spent | OMA_TEST_FILTER=0 |
| Session memory | When you switch or resume a session (or after compaction), re-injects the active session's recent events plus AgentMemory recall | Memory provider none or OMA_NO_AGENTMEMORY=1 turns off the recall; the local event snapshot stays |
oma hook probe checks that oma's prompt hooks accept each runtime's hook input (it does not launch the runtime). Which hooks each runtime wires is in Host differences.
oma agent spawn <role> "<task>" <sid> runs a role on Antigravity, Claude Code, Codex, Cursor, Grok, Kimi Code, Kiro, OpenCode, pi or Qwen Code, with --isolation worktree and --fallback-vendors. oma agent parallel runs several at once. These 10 dispatch targets are a subset of the 14 installer integrations.--read-only to require a vendor restriction before launch. Codex uses its read-only sandbox, Claude uses plan mode, and Pi excludes edit, write, bash, and powershell. Other CLIs require an explicit read_only_flag; missing, empty, or known conflicting flags stop dispatch. Custom flags declare support in your CLI or wrapper. Pi's tool exclusions do not restrict arbitrary extension or MCP tools; OMA does not add an operating-system sandbox.oma state list --all-projects and oma state get <sid>: sessions and every recorded event.oma dashboard terminal / oma dashboard web: live agent status (the web dashboard listens on 127.0.0.1 only). Dashboard guide.oma stats get (productivity metrics), oma retro (a git retrospective), oma recap --window 7d (what you did across AI tools).oma visualize --affected <paths>: which skills, workflows, agents and checks depend on the .agents/ files you changed.| Slot | Default | Alternatives |
|---|---|---|
| Docs | Context7 | — |
| Web search | Runtime native search | Brave Search |
| Code intelligence | Serena, one shared server per project | Gortex (experimental) |
| Semantic memory | AgentMemory | Honcho (experimental), none |
| Browser MCP | Aside | Chrome DevTools, Firefox DevTools |
Serena supplies LSP-based code navigation and diagnostics, including native-edit feedback where supported. Provider selection is independent of the agent runtime; capabilities vary by provider and host.
Agents coordinate through plain files in .agents/state/, with no outside service. /tools turns MCP tools on or off in plain language. Details: Capability Providers.
oma skill eval measures a skill's lift over a baseline on held-out tasks. oma skill optimize proposes edits that raise it, and --apply keeps them (skill-eval guide).oma harness evolution enable --max-dispatches <n> schedules a nightly cycle that turns failed runs into regression fixtures and applies skill improvements that pass evaluation as project overlays. Add --mode propose to only record them.oma emit exports the .agents/ source as an Agent Skills package, an Agent Plugins package, a Claude Code plugin marketplace, or AGENTS.md..agents/oma-config.yaml survives updates (only oma update --force resets it); private .local.yaml or .local.cue overlays can sit on top of it. language sets the response language.AGENTS.md block written for Codex, Qwen Code and Pi..agents/backup/; shipped skills and workflows are replaced in place, so keep local changes outside them. oma uninstall --dry-run shows what would be removed. first-fluke/oma-update-action@v1 runs oma update in CI and opens a PR.| Skill | What it does |
|---|---|
| oma-academic-writing | Drafts, revises, and audits academic prose. |
| oma-architecture | Weighs architecture tradeoffs and draws module boundaries, with ADR/ATAM/CBAM analysis. |
| oma-backend | Builds APIs, authentication, and data access in Python, Node.js, or Rust. |
| oma-brainstorm | Explores ideas with you before you commit to building. |
| oma-coordination | Guides manual, step-by-step coordination of PM, frontend, backend, mobile, and QA agents. |
| oma-db | Designs schemas, migrations, indexes, and vector stores. |
| oma-debug | Finds the root cause, fixes the bug, and writes a regression test. |
| oma-design | Builds design systems with tokens, accessibility, and responsive layouts. |
| oma-dev-workflow | Automates CI/CD, releases, and monorepo tasks. |
| oma-docs | Checks docs for broken references, syncs them with code changes, and flags translation drift. |
| oma-explanation | Turns a diff, PR, branch, or topic into a self-contained HTML explainer, with a quiz for code changes. |
| oma-frontend | Builds UI in React/Next.js or Angular. |
| oma-hwp | Converts HWP, HWPX, and HWPML files to Markdown. |
| oma-image | Generates images and reference-guided variations, and can compare AI vendors side by side. |
| oma-market | Researches your market from community signals and frames it with SWOT, 5F, and PESTEL. |
| oma-mobile | Builds mobile apps with Flutter, React Native, or native Swift. |
| oma-observability | Routes observability work across metrics, logs, traces, SLOs, and incident forensics. |
| oma-orchestration | Runs multiple agents in parallel from the CLI. |
| oma-pdf | Converts PDF files to Markdown. |
14 installer targets: Claude Code, Codex CLI, Cursor, Antigravity, Qwen Code, Grok, Kiro, Kimi, OpenCode, Pi, GitHub Copilot, Hermes, CommandCode, and ZCode. Wire a runtime you skipped with oma link <vendor>. Runtimes differ in which hooks they offer; the full matrix is in Supported Agents.
oma on your PATH.native = oma writes the runtime's own config files; adapter = oma also adds hook or agent shims. Amp reads .agents/skills/ by itself and is not an installer target.
| Runtime | Keyword detection | Stop gate |
|---|---|---|
| Claude Code, Codex CLI, Qwen Code, Grok, Kimi | yes | yes |
| Cursor | yes | yes (re-enters as a follow-up message) |
| Antigravity | yes | yes (runs handlers through bun, not the oma wrapper) |
| OpenCode, Pi | yes | best-effort (Pi needs a build with agent_settled) |
| Kiro | yes | no: Kiro ignores Stop hook output |
| CommandCode | no prompt hook | yes |
| GitHub Copilot, Hermes, ZCode | no hooks | no hooks |
model_preset in .agents/oma-config.yaml chooses which model each agent role uses. The default, auto, follows the running runtime's own agent and model settings.
language: en
model_preset: auto # auto | free | antigravity | claude | codex | cursor | kiro | mixed | qwen | <custom_presets key>
# Optional per-agent overrides; they win over the preset
agents:
backend: { model: openai/gpt-5.5, effort: high }
mixed uses Claude for orchestrator, architecture, QA, PM, and docs, and Codex gpt-5.5 for implementation roles, so it needs both Claude Code and Codex CLI.free routes through a FreeLLMAPI gateway and needs FREELLM_API_KEY plus a running server.kiro is not in the installer menu; set it in the config file.oma doctor --profile prints the resolved model for each role.No. See Skill presets; All is the safe default.
oma doctor shows installed skills and warns when hooks can't find oma. During a persistent workflow, oma state list shows the active session and oma state get <sid> shows its gate events.
Usually, yes. Skills load only when a task needs them, but multi-agent workflows and fresh-context reviews spend more. In the one-prompt benchmark, oma cost 1.7x plain Claude Code.
Say "workflow done" (or "workflow complete" / "workflow finished", or the equivalent in the other supported languages), or delete .agents/state/<workflow>-state-<sid>.json. If you do neither, it releases on its own after 5 blocks or 2 hours.
oma update refreshes skills, workflows, and hooks and keeps your config (--with-new-skills adds skills new in the release; oma update mcp re-chooses the browser MCP). oma uninstall --dry-run shows what would be removed; oma uninstall removes it and keeps oma-config.yaml, mcp.json, and skills you wrote. More fixes: Troubleshooting.
Planning and choosing the next step stay with your agent's model; oma has no fixed workflow graph. What oma enforces outside the model: tool guardrails (secret and search guards), budgets, retry and stop limits, an event log, and, when you set a gate, a stop that waits for your own checks to pass.
Star the project on GitHub:
gh api --method PUT /user/starred/first-fluke/oh-my-agentStarter template: fullstack-starter
MIT
.githooks/Co-authored-bygit config --local core.hooksPath .githooksscm.co_author.enforce_hook: falseoma update updates the oma CLI in the background (auto_update_cli: false or OMA_SKIP_VERSION_CHECK=1 to stop it) and runs uv tool upgrade serena-agent --prerelease=allow (serena.auto_update: false).bridge mode, the first agent session that starts a shared Serena server registers a cleanup timer that stops idle shared Serena servers every 5 minutes (launchd dev.oma.serena-daemon-gc, systemd user timer oma-serena-daemon-gc.timer, or Windows scheduled task OMA Serena Daemon GC). Set serena.mode: stdio to skip the shared server and its timer. oma uninstall does not remove the timer.-y, OMA_YES=1, CI=true) use the All skill preset unless --preset selects another, plus model_preset: auto and Python as the backend language. They select no browser MCP (and skip the Aside install script) unless mcp.devtools_browsers already lists one.| Five phases (PLAN, IMPL, VERIFY, REFINE, SHIP), each review in a fresh reviewer session (persistent) |
/video | Turns a brief into a finished MP4 through a key-optional pipeline |
/work | Coordinates several agents on a multi-domain project with PM planning and QA review (persistent) |
| oma-pm | Plans tasks, breaks down requirements, and defines API contracts. |
| oma-qa | Reviews changes for correctness, OWASP security, performance, and accessibility. |
| oma-recap | Recaps your conversation history into themed work summaries. |
| oma-refactor | Refactors without changing behavior, using hotspot targeting, characterization tests, and refactor-only commits. |
| oma-scholar | Searches academic literature and builds Knows paper sidecars for claims, evidence, and peer review. |
| oma-scm | Manages 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-security | Scans source, agent skills, and MCP components; tests deployed web apps and validates findings. |
| oma-skill-creation | Writes and audits new OMA skills. |
| oma-slide | Generates HTML presentation decks and exports them to PDF/PNG/PPTX. |
| oma-tf-infra | Provisions multi-cloud infrastructure with Terraform. |
| oma-translation | Translates so the result reads like a native speaker wrote it. |
| oma-video | Generates short-form, explainer, and demo videos through a key-optional HyperFrames pipeline. |
| oma-voice | Generates voiceovers and transcribes audio on-device. |