memory-writer

memory-writer is an agent for coding agents from katmin2001/kenzy_agent_ai_template. It costs 0 tokens per session (257 once invoked), scanned A, original, no licence file.

An agent that updates a project's stored memory so later coding-agent sessions can recover important context.

In plain words
What is it for?
Use it to record project context for future Codex sessions.
Why use it?
It reduces the need to explain the project again when work continues in a new session.

Agent

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 agents/katmin2001/kenzy_agent_ai_template/memory-writer
Clone the repo
git clone --depth 1 https://github.com/katmin2001/kenzy_agent_ai_template

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.

agentmods badge for memory-writer

README.md
[![agentmods](https://agentmods.dev/badge/agents/katmin2001/kenzy_agent_ai_template/memory-writer.svg)](https://agentmods.dev/agents/katmin2001/kenzy_agent_ai_template/memory-writer)
Your own site
<a href="https://agentmods.dev/agents/katmin2001/kenzy_agent_ai_template/memory-writer"><img src="https://agentmods.dev/badge/agents/katmin2001/kenzy_agent_ai_template/memory-writer.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 257 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00000 $0.00257
Opus 5 $0.00000 $0.00129
Sonnet 5 $0.00000 $0.00051
Haiku 4.5 $0.00000 $0.00026

Measured 3d ago against content hash 443ca142bab4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

memory-writer 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 3d 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.

.ai/agents/memory-writer.md · 73 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. 3d ago First seen · 73 lines · 0 tokens per session scan A 443ca142bab4

Subscribe to this mod's changes

memory-writer is an agent published in the GitHub repository katmin2001/kenzy_agent_ai_template (2 stars, last pushed 3mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 257 tokens. 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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