A shared memory service for machines and AI that stores references to signed records. It can resolve a short token to the original record and verify that record offline without an API key for reading.

Use it to reference, retrieve, and verify shared records across AI tools or machines.

It provides a way to share facts between systems while checking the supplied record and its signature instead of relying only on copied text.

emem — Plugin for Gemini CLI by Vortx-AI

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.

Clone the repo

git clone --depth 1 https://github.com/Vortx-AI/emem

Made for: Gemini CLI.

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/plugins/vortx-ai/emem/gemini-extension/github.svg)](https://agentmods.dev/plugins/vortx-ai/emem/gemini-extension)

Your own site

<a href="https://agentmods.dev/plugins/vortx-ai/emem/gemini-extension"><img src="https://agentmods.dev/badge/plugins/vortx-ai/emem/gemini-extension/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/plugins/vortx-ai/emem/gemini-extension"><img src="https://agentmods.dev/badge/plugins/vortx-ai/emem/gemini-extension.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session not measured What this adds to a session before it is invoked.

When invoked not measured Not applicable: nothing here is loaded into a session.

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.

Security

Grade A, and why

emem 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 5d ago.

The scan reads gemini-extension.json. This mod also ships 19 executable files (examples/3d-worlds/capture.mjs, examples/3d-worlds/emem-world.js, examples/3d-worlds/make_splats.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

gemini-extension.json · 12 lines

What it actually says

{
  "name": "emem",
  "version": "2.4.3",
  "description": "Shared, verifiable memory for machines and AI. Encode where the data lives, decode with any AI: resolve emem tokens to signed records and check them offline. No API key to read.",
  "mcpServers": {
    "emem": {
      "httpUrl": "https://emem.dev/mcp"
    }
  },
  "contextFileName": "GEMINI.md"
}

Files

What ships with it

60 files beside gemini-extension.json in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

5d ago First seen · 12 lines scan A a528e0bd937c

Subscribe to this mod's changes

emem is a plugin published in the GitHub repository Vortx-AI/emem (71 stars, last pushed yesterday), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-10-11.

Memory and context agent-interoperability ai-agents content-addressed ed25519 llm-tools long-term-memory

emem

Getting it into your agent

Wrote this? Show the measurements

Grade A, and why

Nothing flagged

What it actually says

What ships with it

What this file has done since we first saw it

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