mnemosyne-memory

mnemosyne-memory is a skill for Claude Code, Codex from Mnemosyne-OS/Mnemosyne-Neural-OS. It costs 72 tokens per session (1,395 once invoked), scanned A, original, MIT.

A governed long-term memory system for AI agents, backed by Mnemosyne OS. It lets an agent recall project decisions, history, and notes across separate sessions.

In plain words
What is it for?
Recalling past work when Mnemosyne OS is installed and saving important project information for later sessions.
Why use it?
It reduces the need to repeat project context and provides rules for deciding what may be recalled or saved.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for hermes-agent. Also seen: built for hermes-agent.

Good fit Recalling past work when Mnemosyne OS is installed and saving important project information for later sessions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mnemosyne-os/mnemosyne-neural-os/mnemosyne-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.

Any agent
npx skills add Mnemosyne-OS/Mnemosyne-Neural-OS --skill mnemosyne-memory
Clone the repo
git clone --depth 1 https://github.com/Mnemosyne-OS/Mnemosyne-Neural-OS

Made for: Claude Code, Codex.

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 mnemosyne-memory

README.md
[![agentmods](https://agentmods.dev/badge/skills/mnemosyne-os/mnemosyne-neural-os/mnemosyne-memory/github.svg)](https://agentmods.dev/skills/mnemosyne-os/mnemosyne-neural-os/mnemosyne-memory)
Your own site
<a href="https://agentmods.dev/skills/mnemosyne-os/mnemosyne-neural-os/mnemosyne-memory"><img src="https://agentmods.dev/badge/skills/mnemosyne-os/mnemosyne-neural-os/mnemosyne-memory/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.

agentmods 80×15 button for mnemosyne-memory

Your own site · 80×15
<a href="https://agentmods.dev/skills/mnemosyne-os/mnemosyne-neural-os/mnemosyne-memory"><img src="https://agentmods.dev/badge/skills/mnemosyne-os/mnemosyne-neural-os/mnemosyne-memory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,395 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00072 $0.01395
Opus 5.5 $0.00029 $0.00558
Sonnet 5.5 $0.00014 $0.00279
Haiku 4.5 $0.00007 $0.00139

Measured 12d ago against content hash 44e284d2c036, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mnemosyne-memory 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 12d 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.

packages/mcp/skills/mnemosyne-memory/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mnemosyne Memory

Mnemosyne OS is a local-first memory operating system owned by a human. Their memory is organized into vaults — isolated stores, one per life domain (code, notes, research, journal…). Each memory is a chronicle: content + a spineType (its semantic kind) + a vector embedding. You reach it through the @mnemosyne_os/mcp MCP server, which exposes semantic retrieval (mnemosyne_memory_query, mnemosyne_memory_ask) and persistence (mnemosyne_memory_ingest).

You are a guest in someone's memory. That framing decides everything below.

Setup (if the mnemosyne_* tools are not available)

This skill relies on MCP tools (mnemosyne_memory_query, mnemosyne_memory_ask, mnemosyne_vault_list, mnemosyne_memory_ingest, …) provided by the @mnemosyne_os/mcp server, which bridges to a locally running Mnemosyne OS Infinity.

If those tools are not present in your session, do not install or configure anything yourself. Ask the human to add the server to their agent's MCP configuration — the recipe for every major client is in the package README.

Configuration is deliberately the human's gesture, because it is the scope grant: the MNEMO_VAULTS list decides which vaults this agent may reach, plus the default vault. A vault outside it is refused (UNREACHABLE_VAULT). Suggest keeping the grant narrow and pointing the default write vault at a vault dedicated to agent work.

The covenant — non-negotiable rules

  1. Discover before you target. Call mnemosyne_vault_list before choosing a vault. Never guess a vault id. UNREACHABLE_VAULT or SCOPE_DENIED means the human did not grant it — say so and stop; never try to route around it.
  2. Read before you write. Operate as an observer first: query, learn the shape of the human's memory, and only persist once you understand where a memory belongs.
  3. Respect protection levels. A vault marked MAXIMUM (private — e.g. a journal) must never be read for cross-domain work, mixed, or written to, unless the human explicitly asks in the current conversation. A vault marked isolated (mixableWith: []) must never be blended with content from other vaults.
  4. Ingest is permanent and shared. Everything you persist will be read by every future agent and by the human. Never ingest secrets, credentials, raw dumps, or transient chatter.
  5. Never bypass the MCP. Do not open, copy, or edit Mnemosyne's vault databases or watched folders directly on the filesystem — even if you have file tools. The MCP is the governed door; the filesystem is not.
  6. Deletion belongs to the human. Never delete or rewrite existing chronicles. If something looks wrong or stale, tell the human and let them decide.

Read the full file on GitHub · 99 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. 12d ago Changed 44e284d2c036
  2. 1mo ago Changed 45186ae0b893
  3. 1mo ago First seen · 99 lines · 72 tokens per session scan A bf9f66887cf1

Subscribe to this mod's changes

mnemosyne-memory is a skill published in the GitHub repository Mnemosyne-OS/Mnemosyne-Neural-OS (20 stars, last pushed today), licensed MIT. It adds 72 tokens to every session and 1,395 once invoked, about $0.0003 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 2026-08-30.

Related

Other skills, from other repositories