agentmods.dev

agent-memory GEMINI.md

A set of instructions for an agent-memory project that stores shared AI context in Markdown files. It also describes a process for using that memory system to help enable AI in another repository.

In plain words
What is it for?
Use it when working with the project's memory files, session logs, continuity information, or AI-enablement process.
Why use it?
It tells the agent which protocol and memory files to read and how to distinguish internal memory work from repository migration work.

Instructions file for Gemini CLI

5 8d ago A scan 189 tokens copy · 94% Apache-2.0
View the source file acn-ericlaw/agent-memory
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/acn-ericlaw/agent-memory/gemini-md
Clone the repo
git clone --depth 1 https://github.com/acn-ericlaw/agent-memory

Made for: Gemini CLI.

Per session 189 This file is loaded in full into every session.
When invoked 189 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 94% copy Near-identical to another mod 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 $0.00189 $0.00189
Opus 5 $0.00095 $0.00095
Sonnet 5 $0.00038 $0.00038
Haiku 4.5 $0.00019 $0.00019

Measured 3d ago against content hash 9445f1b6dc06, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-memory GEMINI.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 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.

Origin

This is a copy

94% identical to agent-memory CLAUDE.md — 14 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

GEMINI.md · 21 lines

What it actually says

GEMINI.md — agent-memory

Both a shared AI memory layer and an AI-enablement / migration tool — no-code, markdown.

Follow memory/PROTOCOL.md first. Root AGENTS.md is its one-line universal discovery shim. The protocol selects internal-memory work versus AI-enabling another repository.

The protocol and core memory files are imported below, so they are structurally present at session start (presence is guaranteed; attending to them is still the protocol). Imports can't express dynamic paths — still scan the newest 2–3 logs in memory/sessions/ per the protocol.

@./AGENTS.md @./memory/PROTOCOL.md @./memory/instructions.md @./memory/continuity.md @./memory/vision.md

Identify yourself as Gemini CLI in all session logs.

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 · 21 lines · 189 tokens per session scan A 9445f1b6dc06

Subscribe to this mod's changes

agent-memory GEMINI.md is an instructions file published in the GitHub repository acn-ericlaw/agent-memory (5 stars, last pushed 8d ago), licensed Apache-2.0. It adds 189 tokens to every session, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to agent-memory CLAUDE.md, differing in 14 lines, and is treated as a copy.

DeterministicMemory and contextagent-memorynear-zero-drifttoken-efficientvendor-neutralzero-code
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