neuron-ai AGENTS.md

Project-specific instructions for Neuron AI, a PHP framework for building applications where AI components are connected into workflows.

In plain words
What is it for?
Use them when developing Neuron AI workflows, agents, tools, messaging, chat history, structured output, retrieval, or integrations.
Why use it?
They explain the framework's structure and conventions, helping you make changes that fit the repository instead of treating it like a generic project.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/neuron-core/neuron-ai/agents-md
Clone the repo
git clone --depth 1 https://github.com/neuron-core/neuron-ai

Made for: Codex, OpenCode.

Per session 1,450 This file is loaded in full into every session.
When invoked 1,450 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
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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 $0.01450 $0.01450
Opus 5 $0.00725 $0.00725
Sonnet 5 $0.00290 $0.00290
Haiku 4.5 $0.00145 $0.00145

Measured 3d ago against content hash 9adfbe2f739f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

neuron-ai 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 3d 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 · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Neuron AI - Project Overview

This repository contains Neuron AI, a PHP framework for building agentic applications.

The Mental Model: Neuron Is a Composable Workflow

Before writing any Neuron code, internalize this — it shapes every correct decision:

  1. Workflow is the foundation. Everything else is built on it. A Workflow is an event-driven graph of nodes that you can compose freely to create any agentic behaviour.

  2. A catalog of components, wired by interfaces. Neuron ships a large collection of standalone, interchangeable building blocks — AI providers, the messaging layer, chat history, tools & toolkits, structured output, RAG, vector stores, data loaders, MCP, observability. They are connected by small, focused interfaces, so each can be used on its own or swapped for your own implementation.

  3. Agent is an inspiration, not a cage. The Agent class is itself a Workflow: it composes the components above (chat/stream/structured nodes, tools, history, middleware) into a ready-to-use agentic entity. Study it to see how a Workflow is assembled. Then choose your path:

    • Extend Agent when its defaults fit your use case (most common starting point).
    • Customize Agent by swapping nodes or adding middleware when you need targeted changes without rebuilding from scratch.
    • Compose your own Workflow from the component catalog when you need bespoke control flow — Agent and RAG can even be used as nodes inside it.

You never fight the framework: the architecture you use on day one is the same one running your most complex system later.

Development Commands

composer test          # Run tests (PHPUnit)
composer format        # Fix code style (PHP CS Fixer)
composer analyse       # Static analysis (PHPStan level 5)

Individual tests: vendor/bin/phpunit tests/AgentTest.php or --filter testMethodName

Architecture

Layered Foundation:

RAG ─────► extends Agent ─────► built on Workflow
                              │
Tools ◄───────────────────────┤
Providers ◄───────────────────┤
Chat ◄────────────────────────┴──► shared across all

Read the full file on GitHub · 139 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. 3d ago First seen · 139 lines · 1,450 tokens per session scan A 9adfbe2f739f

Subscribe to this mod's changes

neuron-ai AGENTS.md is an instructions file published in the GitHub repository neuron-core/neuron-ai (2,081 stars, last pushed yesterday), licensed MIT. It adds 1,450 tokens to every session, about $0.0072 per session on Opus 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.