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.
npx agentmods add instructions/mneno-ai/mneno/agents-mdgit clone --depth 1 https://github.com/Mneno-AI/MnenoWrote 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/mneno-ai/mneno/agents-md)<a href="https://agentmods.dev/instructions/mneno-ai/mneno/agents-md"><img src="https://agentmods.dev/badge/instructions/mneno-ai/mneno/agents-md.svg" alt="Measured on agentmods" 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 | $0.03120 | $0.03120 |
| Opus 5 | $0.01560 | $0.01560 |
| Sonnet 5 | $0.00624 | $0.00624 |
| Haiku 4.5 | $0.00312 | $0.00312 |
Grade A, and why
Mneno 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 5d 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 — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project Overview
Mneno is a Python-first SDK for AI memory. It is an anti-context-rot memory runtime for copilots, support agents, internal AI tools, and long-running AI applications.
Mneno should maintain useful, compact, explainable, and verifiable context over time. It is not a generic memory store and should not become a thin wrapper around provider APIs.
Repository Structure
mneno/: core Python package.mneno/scoring/: memory scoring interfaces and temporal scoring.mneno/compaction/: explainable compaction interfaces and diff templates.mneno/conflicts/: deterministic conflict detection, reports, and safe resolution policies.mneno/hierarchy/: memory layer definitions, retention policies, and lifecycle transition management.mneno/observability/: local trace models, in-memory recorder, and inspector utilities.mneno/evaluation/: deterministic metrics, benchmark adapters, operation reports, and stable export helpers.mneno/retrieval/: retrieval interfaces.mneno/storage/: storage interfaces and local in-memory storage.mneno/providers/: provider protocols, dummy local providers, and provider registry.mneno/policies/: runtime policy configuration.tests/: pytest suite.examples/: runnable usage examples.scripts/: development, formatting, and test commands.docs/: project documentation.
Development Setup
Use Python 3.11 or newer.
scripts/setup_dev.sh
The setup script uses uv when available and falls back to pip with a local virtual environment.
Build, Lint, and Test Commands
scripts/format.sh
scripts/check.sh
scripts/test.sh
python -m build
scripts/check.sh must pass before a pull request is ready.
Core APIs
The main public entrypoint is:
from mneno import MemoryClient
The initial client supports local in-memory add and search operations. Public APIs must be documented and covered by tests when they are added or changed.
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 · 343 lines · 3,120 tokens per session scan A 87734113d652
Mneno AGENTS.md is an instructions file published in the GitHub repository Mneno-AI/Mneno (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 3,120 tokens to every session, about $0.0156 per session on Opus 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 2026-08-31.
Other instructions, from other repositories
OB1 CLAUDE.md
Claude Code instructions for NateBJones-Projects/OB1, covering claude.md — agent instructions for open brain, what this repo is, repo structure, parallel agent worktrees and setup pattern.
OB1 AGENTS.md
AGENTS.md instructions for NateBJones-Projects/OB1, covering ob1 agent instructions, parallel agent worktrees, setup pattern, agent assignment template and rules.
aoa-memo AGENTS.md
AGENTS.md instructions for 8Dionysus/aoa-memo, covering agents.md, purpose and owner lane, route modes and conditional sources, authority and agent stack and memory route and stop-lines.
aeon CLAUDE.md
Claude Code instructions for aeonfun/aeon, covering aeon, how aeon works, strategy, voice and soul file hierarchy (read in this order).
cognirepo CLAUDE.md
Claude Code instructions for ashlesh-t/cognirepo, covering claude.md, key rules, session start sequence (run in this order), behavioral confirmation rule and personas (cognirepo-402, cognirepo-403).
wayland-core copilot-instructions.md
Copilot instructions for FerroxLabs/wayland-core, covering ijfw rules, output discipline, memory routing, context discipline and cross-audit.