# 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]

Repository: https://github.com/oinone/oinone-pamirs
Canonical: https://ross.abutalabs.com/products/oinone-pamirs
Homepage: https://oinone.ai
Language: Java
License: AGPL-3.0
License Family: copyleft
Topics: lowcode, ai-lowcode, framework, low-code, low-code-framework, oinone
Last push: 2026-08-20T13:15:03+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 35, longevity 34
- inputs: {"age_days": 480, "days_push": 13, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2348, forks 209 (observed 2026-08-28T04:06:40.145604+00:00)

## What it is
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
- artifact type: framework
- maturity: active
- function: web-framework, api-framework, workflow-automation, agent-framework, llm-inference, authorization, internationalization, data-visualization, orm, middleware
- domain: web-development, artificial-intelligence, backend, developer-tools
- platform: jvm, self-hosted, cloud
- tags: 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

## Member repositories
- oinone/oinone-pamirs (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:40.145604+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:36:59.634096+00:00, confidence not recorded.
  - readme: https://github.com/oinone/oinone-pamirs (fetched 2026-08-28T04:06:40.145604+00:00, sha fa5d2c4fddb1)
  - homepage: https://oinone.ai (fetched 2026-08-29T10:17:36.809657+00:00, sha bd026de9bded)
  - site_page: https://guide.oinone.ai/en/DevManual/README.html (fetched 2026-08-29T10:17:36.820773+00:00, sha 7cc114588deb)
  - site_page: https://oinone.ai/about (fetched 2026-08-29T10:17:36.824050+00:00, sha 2d8b2c588d10)
  - site_page: https://oinone.ai/pricing (fetched 2026-08-29T10:17:36.818690+00:00, sha 448c3972e23f)
  - site_page: https://oinone.ai/changelog (fetched 2026-08-29T10:17:36.822467+00:00, sha a25a958234a8)
  - site_page: https://oinone.ai/product/framework (fetched 2026-08-29T10:17:36.825609+00:00, sha aeee5a5967fd)
  - site_page: https://oinone.ai/product/aino (fetched 2026-08-29T10:17:36.827164+00:00, sha 57c836a71d1a)
- Data as of 2026-08-30T08:39:29.467469+00:00.