AutoGPT AGENTS.md

Repository-specific instructions for contributing to AutoGPT, an open-source project for building and using AI agents. They cover the project layout, coding style, frontend conventions, and testing guidance.

In plain words
What is it for?
Use them when editing AutoGPT, especially its frontend, navigating directories, applying code-style rules, or running tests.
Why use it?
They explain the rules an agent needs to follow in this codebase instead of relying on generic programming habits. This helps keep changes consistent with the 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/significant-gravitas/autogpt/agents-md
Clone the repo
git clone --depth 1 https://github.com/Significant-Gravitas/AutoGPT

Made for: Codex, OpenCode.

Per session 905 This file is loaded in full into every session.
When invoked 905 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00905 $0.00905
Opus 5 $0.00452 $0.00452
Sonnet 5 $0.00181 $0.00181
Haiku 4.5 $0.00090 $0.00090

Measured yesterday against content hash 234470d4ec8d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

AutoGPT 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 yesterday.

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 · 70 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. yesterday First seen · 70 lines · 905 tokens per session scan A 234470d4ec8d

Subscribe to this mod's changes

AutoGPT AGENTS.md is an instructions file published in the GitHub repository Significant-Gravitas/AutoGPT (187,015 stars, last pushed 2d ago), with no licence file. It adds 905 tokens to every session, about $0.0045 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.

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