# From Everything-is-a-File to Files-Are-All-You-Need: How Unix Philosophy Informs the Design of Agentic AI Systems

arXiv: https://arxiv.org/abs/2601.11672 · HTML: https://mlsanity.com/paper/2601.11672/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use.
- Builds on 3 of its 10 references that are in the map.
- First posted on arXiv 16 Jan 2026.

## Placed in

- LLM agents and tool use / [Software engineering coding agents](https://mlsanity.com/agents/software-engineering-coding-agents/)

## Builds on (most cited first, 3 of 3)

- [MemGPT: Towards LLMs as Operating Systems](https://mlsanity.com/paper/2310.08560/) (2023)
- [LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem](https://mlsanity.com/paper/2312.03815/) (2023)
- [Everything is Context: Agentic File System Abstraction for Context Engineering](https://mlsanity.com/paper/2512.05470/) (2025)

## Built on by (most cited first, 2 of 2)

- [Herding CATs: ALARA for Agent Harness Engineering in Portable Composable Multi-Agent Teams](https://mlsanity.com/paper/2603.20380/) (2026)
- [MAPLE: A Sub-Agent Architecture for Memory, Learning, and Personalization in Agentic AI Systems](https://mlsanity.com/paper/2602.13258/) (2026)

## Abstract (arXiv)

A core abstraction in early Unix systems was the principle that 'everything is a file', enabling heterogeneous devices and kernel resources to be manipulated via uniform read/write interfaces. This paper explores how an analogous unification is emerging in contemporary agentic AI. We trace the evolution from Unix to DevOps, Infrastructure-as-Code, and finally autonomous software agents, highlighting how file-like abstractions and code-based specifications collapse diverse resources into consistent, composable interfaces. The resulting perspective suggests that adopting file- and code-centric interaction models may enable agentic systems that are more maintainable, auditable, and operationally robust.