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

labring/sealos

Deploy real projects from GitHub or your AI coding agent, then keep them running with AI-powered operations. observed · 2026-10-20

github.com/labring/sealos · homepage · Go · NOASSERTION (other) observed · 2026-10-20

Health v2 · maintenance only

82/100

  • Activity 100
  • Release rhythm 50
  • Longevity 100

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: 13
  • age_days: 2988
  • days_rel: 337
  • days_push: 1
  • n_releases_24m: 2

Full methodology

Adoption not part of the score

18372 stars · 2477 forks observed · 2026-10-20

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Sealos is an AI-native cloud operating system built on Kubernetes that lets developers deploy applications from a GitHub repo, Docker image, template, or natural-language prompt without writing YAML or CI/CD configs. It bundles cloud IDE dev environments (DevBox), managed databases, an app store, and AI-agent skills/plugins so coding agents like Claude Code or Codex can deploy and verify apps directly.

Use cases

  • deploy a github repo to a live url without writing yaml or dockerfiles
  • self-host a kubernetes-based paas for my team
  • run managed mysql postgres redis mongodb in the cloud
  • let my ai coding agent deploy and verify apps automatically
  • spin up a cloud dev environment for nodejs or python
  • install self-hosted apps like fastgpt dify lobe chat in one click
  • cut cloud costs compared to railway or heroku

When to choose

  • you want a heroku/railway-style deployment experience on your own kubernetes cluster
  • you want AI agents to handle deployment and operations from a repo or prompt
  • you need managed databases and an app store alongside app hosting
  • you're building AI applications or SaaS and want dev-to-production in one platform

When to avoid

  • you need a fully managed multi-region public cloud with enterprise SLAs from a major vendor
  • you prefer hand-written kubernetes manifests and gitops pipelines with full control
  • your workloads require non-kubernetes runtimes like bare-metal VMs
  • you need a license-clean dependency — the license is marked NOASSERTION, so verify terms first

Facets

service · maturity active

deployment container-orchestration cloud self-hosted developer-tools workflow-automation mcp cloud-computing developer-tools self-hosted large-language-models cloud self-hosted go paas cloud-operating-system kubernetes-distribution devbox ai-agent-deployment managed-databases app-platform railway-alternative heroku-alternative devops containers kubernetes docker typescript web-server

5 sources

Member repositories

RepositoryRoleHealth v2
labring/sealosmain82

For agents

markdown · JSON · MCP: product_card(name="labring/sealos")

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