unify: Instructions file for Codex

AGENTS.md

unify AGENTS.md is an instructions file for Codex, OpenCode from unifyai/unify. It costs 37,017 tokens per session, scanned C, original, MIT.

A project instruction file for Unify, the central coordination system for an AI assistant. It explains how a central actor directs specialized managers for contacts, knowledge, tasks, transcripts, guidance, and other state.

In plain words
What is it for?
Use it when setting up Unify locally or changing its manager system, tool loops, interruptible work, knowledge and guidance records, or related Python SDK components.
Why use it?
It gives coding agents the system design and local development information needed to work in a distributed assistant backend. It also clarifies how managers, tools, plans, and related SDKs connect.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: positional $N argument; mentions Claude Code; mentions AGENTS.md.

This is unifyai/unify's own configuration. It tells Codex and OpenCode how to work on unify itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything unify configures →

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /Users/djl11/unity-deploy/selfhost/stack.sh.

Reuse

Borrowing it

Nothing to install: this file belongs to unifyai/unify. 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/unifyai/unify/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/unifyai/unify

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.

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README.md
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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.

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Per session 37,017 This file is loaded in full into every session.
When invoked 37,017 The same file — it is already loaded in full.
Security scan C 2 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.37017 $0.37017
Opus 5.5 $0.14807 $0.14807
Sonnet 5.5 $0.07403 $0.07403
Haiku 4.5 $0.03702 $0.03702

Measured 1mo ago against content hash 47292a7c72dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

unify AGENTS.md scanned grade C with 2 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 1mo 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

curl -fsSL https://raw.githubusercontent.com/unifyai/unify/staging/scripts/install.sh | bash

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -fsSL https://raw.githubusercontent.com/unifyai/unify/staging/scripts/install.sh | bash
AGENTS.md · 2,767 lines

How it starts

The opening of the file, as written. The whole thing — 2,767 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Unify

The assistant's brain, and the cognitive core of the platform.

Read ARCHITECTURE.md first for the system design. This file covers how to work on the code, not what the code does.

What Unify is

Unify implements an AI assistant's brain as a distributed back office. A central Actor orchestrates specialized state managers (ContactManager, KnowledgeManager, TaskScheduler, TranscriptManager, GuidanceManager, FunctionManager, ...) through code-first plans. Most public manager methods run inside an async LLM tool loop and return a steerable handle that supports ask, interject, pause, resume, stop — all the way down the nesting tree. Typed catalogues such as Knowledge and Guidance expose direct CRUD/lifecycle methods as Actor JSON tools (KnowledgeManager_*, GuidanceManager_*) rather than NL tool loops or primitives.*.

Sibling repos consumed via editable installs (see [tool.uv.sources] in pyproject.toml):

  • unisdk — Python SDK wrapping the Orchestra REST API
  • unillm — LLM client with caching, provider normalization, observability

The open agent runtime (unify, unisdk, unillm) talks to the hosted Orchestra backend (ORCHESTRA_URL, default https://api.unify.ai/v0). orchestra and console are private/hosted and are not part of the open-source repo set.

Unify consumes data from Orchestra via unisdk, makes LLM calls via unillm, and triggers external actions through the hosted communication stack in unify-deploy. Console provides observability into its operations.

Read the full file on GitHub · 2,767 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.

  1. 1mo ago Changed · +1,352 lines · +19,962 tokens per session scan A → C 47292a7c72dd
  2. 1mo ago Changed · +176 tokens per session cce02db2fc25
  3. 1mo ago Changed · -1,352 lines · -20,174 tokens per session scan C → A eeea008e60e5
  4. 1mo ago Changed · +1 lines · +104 tokens per session 3c80449f241f
  5. 2mo ago First seen · 2,766 lines · 36,949 tokens per session scan C 6c0dc918d50e

Subscribe to this mod's changes

unify AGENTS.md is an instructions file published in the GitHub repository unifyai/unify (0 stars, last pushed 21d ago), licensed MIT. It adds 37,017 tokens to every session, about $0.1481 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

unify AGENTS.md compared with instructions from other repositories

unify AGENTS.md next to 6 instructions from other repositories
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unify AGENTS.mdunifyai/unifyInstructions file021d agoMITC37,017Codex, OpenCode
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deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode