What is agent-os AGENTS.md?

Repository instructions for AgentOS, a system for running AI-agent computation with recorded events and strict data definitions. It explains the specifications, architecture, workflows, effects, storage backends, and AIR, its typed control language.

Use it when working on AgentOS modules, schemas, workflows, asynchronous effects, secrets, manifests, journals, storage, recovery, or the AIR specification.

It gives coding agents the context needed to change the repository consistently. It also points to the authoritative specifications and notes which planned features are not implemented.

How smartcomputer-ai/agent-os configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to smartcomputer-ai/agent-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/smartcomputer-ai/agent-os/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/smartcomputer-ai/agent-os

Made for: Codex, OpenCode.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/smartcomputer-ai/agent-os/agents-md/github.svg)](https://agentmods.dev/instructions/smartcomputer-ai/agent-os/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/smartcomputer-ai/agent-os/agents-md"><img src="https://agentmods.dev/badge/instructions/smartcomputer-ai/agent-os/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/smartcomputer-ai/agent-os/agents-md"><img src="https://agentmods.dev/badge/instructions/smartcomputer-ai/agent-os/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,399 This file is loaded in full into every session.

When invoked 2,399 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.02399	$0.02399
Opus 5.5	$0.00960	$0.00960
Sonnet 5.5	$0.00480	$0.00480
Haiku 4.5	$0.00240	$0.00240

Measured 2mo ago against content hash 95af21ecc61b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agent-os AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agents

This file provides guidance to coding agents when working with code in this repository.

What This Is

AgentOS is a deterministic, event-sourced computing substrate for AI agents.

AIR (Agent Intermediate Representation) is the typed control-plane IR governing schemas, modules, effects, secrets, and manifests.

Reading the Specs (index)

spec/01-overview.md — Core concepts and mental model.
spec/02-architecture.md — Runtime components, storage layout, governance phases.
spec/03-air.md — CRITICAL AIR v1 spec (post-plan active model).
spec/04-workflows.md — Workflow module semantics and orchestration patterns.
spec/05-effects.md — Effects, async execution, durable open work, and continuation admission.
spec/06-backends.md — Backend contracts, SQLite/Kafka journals, local/object-store CAS, and recovery.

Future protocol notes:

spec/20-gc.md — GC/reachability contract draft; deletion GC is not implemented yet.

Reference shelves:

spec/schemas/ (JSON Schemas)
spec/defs/ (built-ins: Timer/Blob/HTTP/LLM/Workspace/Introspect plus SDK support schemas)

Core Architecture (TL;DR)

World: Single-threaded deterministic kernel state. Replay checkpoint/snapshot + journal frames + receipts = identical state.

Workspaces: Versioned tree registry (sys/Workspace@1). Tree ops (workspace.*) are internal effects used by aos ws plus aos push/aos pull.

Active layers:

Workflow modules (WASM, module_kind: workflow): deterministic state machines on workflow ABI; own orchestration/state transitions.
Pure modules (module_kind: pure): side-effect-free compute helpers.
Kernel (aos-kernel): synchronous authoritative world execution, governance, manifests, effect authorization, snapshots, replay, and open-work state.
Unified node (aos-node): owns hot worlds, serializes per-world execution, stages completed slices, durably flushes journal frames, serves hot control reads, and publishes opened async effects only after durable append.
Executors/Adapters: async edge execution for external work; stream frames and receipts re-enter only as world input through owner admission.

Read the full file on GitHub · 161 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 161 lines · 2,399 tokens per session scan A 95af21ecc61b

Subscribe to this mod's changes

agent-os AGENTS.md is an instructions file published in the GitHub repository smartcomputer-ai/agent-os (247 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 2,399 tokens to every session, about $0.0096 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

agent-os AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
agent-os AGENTS.mdsmartcomputer-ai/agent-os	Instructions file	247	4mo ago	Apache-2.0	A	2,399	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

agent-os: Instructions file for Codex