Ross ROSS = Recommend OSS · open-source software intelligence for agents

OmO (oh-my-openagent)

OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering. observed · 2026-10-18

github.com/code-yeongyu/oh-my-openagent · homepage · TypeScript · NOASSERTION (other) observed · 2026-10-18

Health v2 · maintenance only

80/100

  • Activity 100
  • Release rhythm 87
  • Longevity 23

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 0.0
  • age_days: 322
  • days_rel: 4
  • days_push: 3
  • n_releases_24m: 341

Full methodology

Adoption not part of the score

70146 stars · 5773 forks observed · 2026-10-18

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.95

Oh My OpenAgent (OmO) is a TypeScript‑based CLI that orchestrates multiple LLMs into a coordinated development team. It provides auto‑planning, deep research, parallel agents and self‑correction loops to automate code tasks end‑to‑end.

Use cases

  • automatically generate, test and ship code across a codebase using multiple LLM providers
  • run complex development tasks (e.g., feature implementation, refactoring) without manual prompting
  • orchestrate a team of specialized AI agents for research, planning, coding and verification
  • execute ultra‑workflows that require parallel execution and continuous self‑correction

When to choose

  • you need a multi‑model AI assistant that can coordinate several LLMs for a single development task
  • you want zero‑intervention, self‑correcting code generation pipelines
  • your workflow benefits from parallel agents, auto‑planning and built‑in verification
  • you prefer a CLI that integrates with bun, npm or other Node.js environments

When to avoid

  • you only need a simple single‑model code assistant or chatbot
  • your project cannot install Node.js/bun or run CLI tools
  • you require fine‑grained control over each LLM call rather than an orchestrated pipeline
  • resource constraints prevent running multiple large models simultaneously

Facets

cli-tool · maturity active

agent-framework cli workflow-automation artificial-intelligence developer-tools bun cross-platform cli multi-model ultrawork ulw team-mode code-generation self-correcting devops nodejs

4 sources

Member repositories

RepositoryRoleHealth v2
code-yeongyu/oh-my-openagentmain80
code-yeongyu/lazycodexinfra77

For agents

markdown · JSON · MCP: product_card(name="code-yeongyu/oh-my-openagent")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem