Borrowing it
Nothing to install: this file belongs to Mnemosyne-OS/Mnemosyne-Neural-OS. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Mnemosyne-OS/Mnemosyne-Neural-OS/main/AGENTS.mdgit clone --depth 1 https://github.com/Mnemosyne-OS/Mnemosyne-Neural-OSWrote 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.
[](https://agentmods.dev/instructions/mnemosyne-os/mnemosyne-neural-os/agents-md)<a href="https://agentmods.dev/instructions/mnemosyne-os/mnemosyne-neural-os/agents-md"><img src="https://agentmods.dev/badge/instructions/mnemosyne-os/mnemosyne-neural-os/agents-md/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.
<a href="https://agentmods.dev/instructions/mnemosyne-os/mnemosyne-neural-os/agents-md"><img src="https://agentmods.dev/badge/instructions/mnemosyne-os/mnemosyne-neural-os/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02060 | $0.02060 |
| Opus 5.5 | $0.00824 | $0.00824 |
| Sonnet 5.5 | $0.00412 | $0.00412 |
| Haiku 4.5 | $0.00206 | $0.00206 |
Grade A, and why
Mnemosyne-Neural-OS 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Orientation for AI agents
You are an AI reading the Mnemosyne Neural OS repository. This file exists so you can orient fast, reason correctly, and not hallucinate about the project. Read it first. (For the human-facing pitch, see README.md; to contribute code, see CONTRIBUTING_AI.md.)
What this is, in two lines
Mnemosyne OS is the relationship layer for AI: a sovereign, local-first memory operating system that gives an AI persistent memory and context across sessions. It is open-core — an MIT developer surface (SDK + CLI) built around a sealed proprietary memory core that is not in this repository.
Read in this order
Don't try to absorb the whole tree. These few docs give you the full mental model:
doc/WHY.md— the vision (why a relationship layer)doc/CONCEPTS.md— the mental model + glossary (Vault, Chronicle, Spine, Resonance, Dream State, Gateway, FGAC…)doc/ARCHITECTURE.md— how it fits together + the life of a memorydoc/RESONANCE_ENGINE_WHITEPAPER.md— the memory engine in depthdoc/README.md— the full documentation map (governance, security, design decisions)
The handbook/ documents Neural Coding, the human-directed method the project was built with.
What you can and cannot see (open vs sealed)
| Layer | Here? | License |
|---|---|---|
SDK — packages/* |
✅ in this repo | MIT |
MnemoForge CLI — cli/ |
✅ in this repo | MIT |
| Cognitive Core — the memory engines (Embedding, Spine, Retrieval, Dream State, Adaptive RAG) | ❌ not in this repo | Proprietary |
Apps talk to the core through the Gateway (a public contract). The engines are described conceptually in the docs, but their implementation is sealed and lives elsewhere. Do not assume you can read or modify the core from this repository — you cannot.
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.
- 4d ago Changed 783f68c01281
- 27d ago Changed · +1 lines · +106 tokens per session 8037f45684d3
- 1mo ago Changed · +1 lines · +21 tokens per session e3b285bfebc3
- 1mo ago Changed · +4 tokens per session a7fc8c169bee
- 1mo ago Changed 493c13d50335
- 1mo ago Changed 03af48b94ab5
- 1mo ago Changed 4236a5d76669
- 1mo ago Changed 21a02365942a
- 1mo ago First seen · 176 lines · 1,929 tokens per session scan A bd53aaf6b42e
Mnemosyne-Neural-OS AGENTS.md is an instructions file published in the GitHub repository Mnemosyne-OS/Mnemosyne-Neural-OS (20 stars, last pushed today), licensed MIT. It adds 2,060 tokens to every session, about $0.0082 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.