knowledge-memory-mcp: Instructions file for Codex

AGENTS.md

knowledge-memory-mcp AGENTS.md is an instructions file for Codex, OpenCode from formonkey/knowledge-memory-mcp. It costs 1,240 tokens per session, scanned A, original, MIT.

Repository instructions for agents maintaining knowledge-memory-mcp, an MCP service that stores project guidance and recurring corrections.

In plain words
What is it for?
They are for coding agents editing, reviewing, or fixing this repository, including instructions to use the knowledge_memory tools instead of editing memory files directly.
Why use it?
They tell agents how to consult shared and project-specific memories so earlier feedback can be applied consistently.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads ~/.codex paths; mentions AGENTS.md; mentions Codex.

This is formonkey/knowledge-memory-mcp's own configuration. It tells Codex and OpenCode how to work on knowledge-memory-mcp 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 knowledge-memory-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to formonkey/knowledge-memory-mcp. 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/formonkey/knowledge-memory-mcp/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/formonkey/knowledge-memory-mcp

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 1,240 This file is loaded in full into every session.
When invoked 1,240 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01240 $0.01240
Opus 5.5 $0.00496 $0.00496
Sonnet 5.5 $0.00248 $0.00248
Haiku 4.5 $0.00124 $0.00124

Measured 2mo ago against content hash 73db1f4e29f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

knowledge-memory-mcp 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 · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Instructions

Purpose Of This File

AGENTS.md is guidance for Codex agents working inside this repository. It is not part of the MCP runtime and is not required by users who only consume the MCP through npx.

Its job is to tell agents how to use the knowledge_memory MCP consistently while editing, reviewing, or maintaining this repository.

Objective

This workspace uses the knowledge_memory MCP to remember corrections, criteria, and recurring mistakes across conversations. Any agent that implements, reviews, or fixes work should consult and apply those criteria when they are still relevant.

Shared Stores

Persistent memory lives in plain Markdown files:

  • ~/.codex/changes.md: cross-project criteria.
  • <project>/.codex/changes.md: project-specific criteria.

Agents must not edit those files manually. Interaction must go through the knowledge_memory MCP.

Mandatory knowledge_memory Usage

Available tools:

  • add_local: save a project-specific memory entry.
  • add_global: save a cross-project memory entry.
  • list_change_index: read the compact low-token index.
  • list_tag_catalog: read the recommended tags for saved entries.
  • list_changes: read full entries from project + global memory.
  • get_change: read one exact entry by id.
  • search_changes: search entries by text, tags, or paths.
  • get_relevant_changes: retrieve entries relevant to a task summary.

Before implementing, reviewing, or fixing code:

  • Call list_change_index first to inspect the compact index without spending many tokens.
  • Use tags from the index to decide which entries to retrieve.
  • Then call get_change, search_changes, or get_relevant_changes only for entries that look relevant to the task.
  • If you need to find a preference, recurring mistake, path, or specific concept, use search_changes.
  • If you already know the exact change id, use get_change.
  • When working with several projects in one conversation, pass projectPath to select the right project memory.

Read the full file on GitHub · 127 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. 2mo ago First seen · 127 lines · 1,240 tokens per session scan A 73db1f4e29f5

Subscribe to this mod's changes

knowledge-memory-mcp AGENTS.md is an instructions file published in the GitHub repository formonkey/knowledge-memory-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 1,240 tokens to every session, about $0.0050 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.

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