Aria Knowledge

ARIA — Applied Reasoning and Insight Architecture

**Agent Memory · Context Engineering · Planning & Reasoning · Human-in-the-Loop Governance**

ARIA is the missing infrastructure layer for production AI coding agents: persistent memory that survives context compaction, deliberate context engineering that loads the right knowledge before action, human-governed trust gates that keep AI from acting on noise, and structured session discipline that gives agents the continuity needed for long-horizon reasoning.

**The AI captures. The human promotes. Trusted knowledge acts.**

      

**New to ARIA?** See [QUICKSTART.md](QUICKSTART.md) — 5-minute setup + best practices by session phase.

ARIA is a local-first knowledge and execution-discipline layer for AI coding sessions. It ships as a family of ports — Claude Code (`plugin-claude-code/`), Claude Cowork (`plugin-claude-cowork/`), OpenAI Codex (`plugin-openai-codex/`), Antigravity (`plugin-antigravity/`), and Cursor (`plugin-cursor-template/`) — all sharing the same `~/Projects/knowledge/` folder. Insights captured in one tool flow into another. The folder itself is plain markdown — readable by any AI, any human, any editor, with or without ARIA installed.

ARIA manages a complete knowledge lifecycle: it captures insights, decisions, and feedback during sessions; stages them in backlogs for human review; promotes what