Rdf

RDF -- rfxn Development Framework

[](https://github.com/rfxn/rdf/actions/workflows/ci.yml) [](LICENSE) [](https://github.com/rfxn/rdf/releases/latest)  

**Governance-driven AI development for teams that ship to production.**

RDF is a convention governance layer for AI coding agents. It sits between the human and the AI runtime (Claude Code, Codex, Antigravity CLI — plus Gemini CLI legacy), encoding project conventions, quality gates, and domain expertise into typed agent personas -- so the AI writes code that actually follows your rules.

**Drop it on any repo.** `/r-init` auto-detects your stack and scaffolds governance, quality gates, and typed agent personas -- no rfxn context required. Battle-tested on production security tooling (APF, LMD, BFD), built to generalize. The value is the pattern: governance-driven agents, adversarial quality gates, convention inheritance, and context-window management. *Issues and PRs welcome -- support is best-effort and community-driven.* **[Quickstart: your repo in 5 minutes ->](docs/quickstart.md)**

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*Real recorded session: install RDF, initialize a plain Flask project, verify health — 42 seconds, no edits.*

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1. How It Works

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Six universal agents handle every project. Their behavior is shaped by governance files initialized per-project -- not baked into prompts. A QA agent reviewing a ba