fullstack-langgraph-nextjs-agent: Instructions file for Codex

AGENTS.md

fullstack-langgraph-nextjs-agent AGENTS.md is an instructions file for Codex, OpenCode from agentailor/fullstack-langgraph-nextjs-agent. It costs 2,108 tokens per session, scanned A, original, MIT.

A repository instruction file for coding agents working on a full-stack application. It records setup commands, development checks, database tasks, file storage requirements, and an overview of the app's Next.js and LangGraph architecture.

In plain words
What is it for?
Use it to guide installation, local development, formatting, linting, database migrations, and work on the application's agent system.
Why use it?
It gives an agent one place to find the project's required commands and local services, reducing guesses about how to run or change the repository.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions AGENTS.md.

This is agentailor/fullstack-langgraph-nextjs-agent's own configuration. It tells Codex and OpenCode how to work on fullstack-langgraph-nextjs-agent 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 fullstack-langgraph-nextjs-agent configures →

Reuse

Borrowing it

Nothing to install: this file belongs to agentailor/fullstack-langgraph-nextjs-agent. 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/agentailor/fullstack-langgraph-nextjs-agent/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/agentailor/fullstack-langgraph-nextjs-agent

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
[![agentmods](https://agentmods.dev/badge/instructions/agentailor/fullstack-langgraph-nextjs-agent/agents-md.svg)](https://agentmods.dev/instructions/agentailor/fullstack-langgraph-nextjs-agent/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/agentailor/fullstack-langgraph-nextjs-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/agentailor/fullstack-langgraph-nextjs-agent/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,108 This file is loaded in full into every session.
When invoked 2,108 The same file — it is already loaded in full.
Security scan A 1 finding. 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 $0.02108 $0.02108
Opus 5 $0.01054 $0.01054
Sonnet 5 $0.00422 $0.00422
Haiku 4.5 $0.00211 $0.00211

Measured 2d ago against content hash ccf99842e6cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

fullstack-langgraph-nextjs-agent AGENTS.md scanned grade A with 1 finding 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 2d 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.

Makes network callslowCapability

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

- Validate the spec: `curl /api/openapi -o openapi.json && npx @redocly/cli lint openapi.json` (config in `redocly.yaml` — disables `security-defined` since the template has no API auth)
AGENTS.md · 182 lines

How it starts

The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file provides guidance to coding agents (Claude Code, Cursor, Codex, and any other tool that reads AGENTS.md) when working with code in this repository. It is the single source of truth — CLAUDE.md is a pointer to this file, not a second copy.

Essential Development Commands

# Setup (requires Postgres and MinIO running)
docker compose up -d          # Start Postgres (5434) and MinIO (9000/9001)
pnpm install
pnpm prisma:generate
pnpm prisma:migrate

# Development
pnpm dev                      # Next.js with Turbopack
pnpm build                    # Production build
pnpm lint                     # ESLint
pnpm format                   # Prettier formatting
pnpm format:check             # Check formatting

# Database
pnpm prisma:generate          # After schema changes
pnpm prisma:migrate           # Create/apply migrations
pnpm prisma:studio            # Database UI

# File Storage
# MinIO Console: http://localhost:9001 (minioadmin/minioadmin)
# S3 API: http://localhost:9000

Architecture Overview

This is a Next.js 15 fullstack AI agent chat application using LangGraph.js with Model Context Protocol (MCP) server integration.

Core Agent System

  • Agent Builder: src/lib/agent/builder.ts - Creates StateGraph with agent→tool_approval→tools flow
  • MCP Integration: src/lib/agent/mcp.ts - Dynamically loads tools from MCP servers stored in Postgres
  • Persistent Memory: Uses LangGraph's Postgres checkpointer for conversation history
  • Tool Approval: Human-in-the-loop pattern with interrupts for tool execution approval

Data Flow

  1. User message → /api/agent/stream SSE endpoint → streamResponse() in agentService.ts
  2. Agent processes with tools from enabled MCP servers → streams incremental responses
  3. Frontend uses useChatThread() hook with React Query for optimistic UI and streaming
  4. Thread persistence via Prisma → Postgres (threads + MCP server configs)
  5. File uploads → /api/agent/upload → MinIO (S3-compatible storage) → returns file URLs

Read the full file on GitHub · 182 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. 2d ago First seen · 182 lines · 2,108 tokens per session scan A ccf99842e6cd

Subscribe to this mod's changes

fullstack-langgraph-nextjs-agent AGENTS.md is an instructions file published in the GitHub repository agentailor/fullstack-langgraph-nextjs-agent (131 stars, last pushed 2d ago), licensed MIT. It adds 2,108 tokens to every session, about $0.0105 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.

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