oinone/oinone-pamirs
Oinone is an AI‑Powered low‑code framework that unifies AI and developers around a shared metadata model to build maintainable, evolvable, high‑quality enterprise intelligent applications.[AI Coding][Vibe Coding][Framework][Low Code] observed · 2026-08-28
Health v2 · maintenance only
63/100
- Activity 98
- Release rhythm 35
- Longevity 34
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 480
- days_rel: n/a
- days_push: 13
- n_releases_24m: 0
Adoption not part of the score
2348 stars · 209 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Oinone Pamirs is the Java back-end of Oinone, an AI-powered low-code framework that is 100% metadata-driven and positions itself as infrastructure for AI-native enterprise applications. It bundles enterprise-grade capabilities such as permissions, i18n, data audit, workflow, and distributed deployment, and pairs with the Aino AI agent platform so AI coding and developers share one metadata model.
Use cases
- build enterprise business applications with low-code
- generate maintainable enterprise apps with AI coding
- rapidly scaffold CRUD backends from metadata models
- build internal admin platforms with permissions and audit
- orchestrate enterprise AI agents on business metadata
- switch between monolithic and distributed deployment for business apps
When to choose
- your team builds many similar enterprise apps and wants metadata-driven reuse
- you want AI-assisted development within a disciplined, standardized framework
- you need out-of-the-box permissions, i18n, audit, and workflow in a Java stack
- you want visual/no-code designers alongside pro-code extensibility
When to avoid
- you need a permissive license - the core is AGPL-3.0 with paid commercial tiers
- you prefer lightweight, unopinionated frameworks or full manual control
- your stack is not JVM-based
- you are building a small prototype where a full enterprise framework is overkill
Facets
framework · maturity active
web-framework api-framework workflow-automation agent-framework llm-inference authorization internationalization data-visualization orm middleware web-development artificial-intelligence backend developer-tools jvm self-hosted cloud low-code metadata-driven ai-native ai-coding vibe-coding no-code-designer enterprise-applications agpl modular-architecture distributed-architecture enterprise-software ai-agents automation docker web-server
8 sources
- readme: https://github.com/oinone/oinone-pamirs · fetched 2026-08-28 · fa5d2c4fddb1
- homepage: https://oinone.ai · fetched 2026-08-29 · bd026de9bded
- site_page: https://guide.oinone.ai/en/DevManual/README.html · fetched 2026-08-29 · 7cc114588deb
- site_page: https://oinone.ai/about · fetched 2026-08-29 · 2d8b2c588d10
- site_page: https://oinone.ai/pricing · fetched 2026-08-29 · 448c3972e23f
- site_page: https://oinone.ai/changelog · fetched 2026-08-29 · a25a958234a8
- site_page: https://oinone.ai/product/framework · fetched 2026-08-29 · aeee5a5967fd
- site_page: https://oinone.ai/product/aino · fetched 2026-08-29 · 57c836a71d1a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| oinone/oinone-pamirs | main | 63 |
For agents
markdown · JSON · MCP: product_card(name="oinone/oinone-pamirs")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem