What is GBrain AGENTS.md?

A set of AGENTS.md instructions for developers and coding agents working on gbrain, a company knowledge store. It covers installation, setup, reading order, safety boundaries, and common tasks.

Use it when installing gbrain, initializing its storage, recovering from migration problems, or deciding how an agent should work with the project.

It gives agents a consistent way to install and operate gbrain while requiring confirmation for important choices such as search mode.

How cynthiajones34/GBrain configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to cynthiajones34/GBrain. 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/cynthiajones34/GBrain/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/cynthiajones34/GBrain

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/cynthiajones34/gbrain/agents-md/github.svg)](https://agentmods.dev/instructions/cynthiajones34/gbrain/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/cynthiajones34/gbrain/agents-md"><img src="https://agentmods.dev/badge/instructions/cynthiajones34/gbrain/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/cynthiajones34/gbrain/agents-md"><img src="https://agentmods.dev/badge/instructions/cynthiajones34/gbrain/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,047 This file is loaded in full into every session.

When invoked 2,047 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.

Model	Per session	Once invoked
Fable 5.1	$0.02047	$0.02047
Opus 5.5	$0.00819	$0.00819
Sonnet 5.5	$0.00409	$0.00409
Haiku 4.5	$0.00205	$0.00205

Measured 2mo ago against content hash bdcf20a99d15, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

GBrain 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 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.

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://bun.sh/install | bash

Makes network callslowCapability

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

curl -fsSL https://bun.sh/install | bash

AGENTS.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agents working on GBrain

This is your install + operating protocol. Claude Code reads ./CLAUDE.md automatically. Everyone else (Codex, Cursor, OpenClaw, Aider, Continue, or an LLM fetching via URL): start here.

Install (5 min)

Install gbrain via Bun (the canonical path):
```
curl -fsSL https://bun.sh/install | bash
export PATH="$HOME/.bun/bin:$PATH"
bun install -g github:garrytan/gbrain
```
If bun install -g aborts or gbrain doctor reports schema_version: 0, the CLI prints a recovery hint pointing at #218. Run gbrain apply-migrations --yes to recover, or fall back to the deterministic install: git clone https://github.com/garrytan/gbrain.git ~/gbrain && cd ~/gbrain && bun install && bun link.
Init the brain: gbrain init (defaults to PGLite, zero-config). For 1000+ files or multi-machine sync, init suggests Postgres + pgvector via Supabase.
STOP — ask the user about search mode. gbrain init auto-applied a default but printed a 9-cell cost matrix (mode × downstream model) preceded by [AGENT] markers. You MUST relay the matrix to the operator and confirm their choice before continuing. Cost spread between corners is 25x — silent acceptance is the wrong default. See ./INSTALL_FOR_AGENTS.md Step 3.5 for the exact ask-the-user protocol. Same banner fires on gbrain post-upgrade for existing users (search modes were added in v0.32.3).
Read ./INSTALL_FOR_AGENTS.md for the full 9-step flow (API keys, identity, cron, verification).

Read this order

./AGENTS.md (this file) — install + operating protocol.
./CLAUDE.md — orientation + resolver: architecture, cross-cutting invariants, the reference map, inline ship rules. It routes to on-demand detail docs: ./docs/architecture/KEY_FILES.md (per-file index — read a file's entry before editing it), ./docs/TESTING.md (test tiers + isolation lint + E2E lifecycle), and ./docs/architecture/thin-client.md (remote-MCP seam).
./docs/architecture/brains-and-sources.md — the two-axis mental model (brain = which DB, source = which repo in the DB). Every query routes on both axes. Read before writing anything that touches brain ops.
./skills/conventions/brain-routing.md — agent-facing decision table: when to switch brain, when to switch source, how cross-brain federation works (latent-space only; the agent decides).
./skills/RESOLVER.md — skill dispatcher. Read before any task.

Read the full file on GitHub · 130 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 · 130 lines · 2,047 tokens per session scan C bdcf20a99d15

Subscribe to this mod's changes

GBrain AGENTS.md is an instructions file published in the GitHub repository cynthiajones34/GBrain (0 stars, last pushed 3mo ago), licensed MIT. It adds 2,047 tokens to every session, about $0.0082 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 2026-08-31.

Cost Optimization ai-agent boutique-consultancy gbrain hermes-agent knowledge-graph

GBrain AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
GBrain AGENTS.mdcynthiajones34/GBrain	Instructions file	0	3mo ago	MIT	C	2,047	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

GBrain: Instructions file for Codex