What is AgenticMind AGENTS.md?

Repository instructions for AgenticMind, a reference implementation of a memory and knowledge system for AI agents exposed through MCP, a standard way for software to provide tools to AI systems.

Use them when changing AgenticMind, especially before running its formatting, type-checking, and test commands or working with its citation and memory features.

They explain the repository's purpose, required conventions, and checks so coding agents can work in it consistently.

How Moai-Team-LLC/AgenticMind configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to Moai-Team-LLC/AgenticMind. 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/Moai-Team-LLC/AgenticMind/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/Moai-Team-LLC/AgenticMind

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/moai-team-llc/agenticmind/agents-md/github.svg)](https://agentmods.dev/instructions/moai-team-llc/agenticmind/agents-md)

Your own site

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

Per session 1,118 This file is loaded in full into every session.

When invoked 1,118 The same file — it is already loaded in full.

Security scan A 0 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	$0.01118	$0.01118
Opus 5.5	$0.00447	$0.00447
Sonnet 5.5	$0.00224	$0.00224
Haiku 4.5	$0.00112	$0.00112

Measured 2mo ago against content hash db01f7e84739, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

AgenticMind 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 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.

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 · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidance for AI agents and coding assistants working in this repository.

What this is

AgenticMind is an auditable, self-improving knowledge & memory substrate for AI agents, served over the Model Context Protocol (MCP). It is not an agent and has no agent loop — the consuming product owns that. AgenticMind owns one concern: answers an agent can trust (citation-enforced + a replayable why-trace), a memory that compounds (judge-gated), exposed as MCP tools.

It implements a standard — read it first

AgenticMind is the reference implementation of the Agentic Product Standard. If you are designing or building an agentic product (architecture, harness, memory, evals, tools/MCP, durable execution), read the canon and use its skills:

➡️ https://github.com/Moai-Team-LLC/agentic-product-standard

When a product needs the memory / knowledge layer (the Standard's Layer 4), AgenticMind is that layer — point the agent's MCP client at it instead of reinventing retrieval, grounding, and a self-improving corpus.

Commands

bun run check        # format + lint + tsc + tests (the full gate)
bun test             # unit tests
bun run tsc          # typecheck
bun run build-eval   # regenerate the eval suite (self-validating)
bun run seed-eval    # ingest the eval corpus into a DB
bun run eval         # run the eval suite (needs DB + a chat key)
bun run reembed      # recompute embeddings after a dimension change

Lint (oxlint) needs Node ≥22.18 (see .nvmrc); the rest run under Bun.

Conventions (please honor)

Conventional Commits, enforced by commitlint + a husky commit-msg hook and a PR CI check. Header ≤72 chars. See CONTRIBUTING.md.
The MCP tool contract is versioned and frozen (MCP_CONTRACT_VERSION, CONTRACT.md). A snapshot test guards it — any change to a tool's name/shape must bump the version and update the test in the same change.
Every new failure mode becomes a permanent eval case. Don't add behavior without a test; don't add a tool without a contract entry.
No secrets, PII, or domain-private data in code, tests, or fixtures.
Functional style, neverthrow Result types, strict TypeScript.

Read the full file on GitHub · 88 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 · 88 lines · 1,118 tokens per session scan A db01f7e84739

Subscribe to this mod's changes

AgenticMind AGENTS.md is an instructions file published in the GitHub repository Moai-Team-LLC/AgenticMind (4 stars, last pushed 10d ago), licensed Apache-2.0. It adds 1,118 tokens to every session, about $0.0045 per session on Opus 5.5. 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 2026-08-31.

Building agents LLM Memory and context PostgreSQL ai-agents knowledge-base mcp pgvector

AgenticMind AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
AgenticMind AGENTS.mdMoai-Team-LLC/AgenticMind	Instructions file	4	10d ago	Apache-2.0	A	1,118	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

AgenticMind: Instructions file for Codex