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/jmeyer1980/neurodivergent-memory/copilot-instructionsgit clone --depth 1 https://github.com/jmeyer1980/neurodivergent-memoryWrote 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/jmeyer1980/neurodivergent-memory/copilot-instructions)<a href="https://agentmods.dev/instructions/jmeyer1980/neurodivergent-memory/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/jmeyer1980/neurodivergent-memory/copilot-instructions.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 | $0.01325 | $0.01325 |
| Opus 5 | $0.00662 | $0.00662 |
| Sonnet 5 | $0.00265 | $0.00265 |
| Haiku 4.5 | $0.00133 | $0.00133 |
Grade A, and why
neurodivergent-memory copilot-instructions.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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
neurodivergent-memory — Agent Bootstrap Instructions
This file is automatically read by GitHub Copilot and compatible agents at the start of every session.
It replaces the need to fetch the governance memory (memory_11) before working with this MCP server.
What this server is
neurodivergent-memory is a Model Context Protocol (MCP) server that stores and retrieves memories as a
knowledge graph. It is designed for neurodivergent thinking patterns: non-linear, associative, tag-rich.
Memories are organised into five districts (knowledge domains) and connected via bidirectional edges. Search uses BM25 semantic ranking — no embedding model or cloud LLM required.
Canonical Tag Schema
Always apply tags from the five namespaces below when calling store_memory.
Multiple tags from different namespaces are expected on every memory.
When storing execution-heavy memories, include the reasoning behind the action and, when possible, connect the entry to a durable principle in logical_analysis or creative_synthesis so future retrieval preserves understanding and not just activity.
| Namespace | Purpose | Examples |
|---|---|---|
topic:X |
Subject matter / domain | topic:unity-ecs, topic:adhd-strategies, topic:rust-async |
scope:X |
Breadth of the memory | scope:concept, scope:project, scope:session, scope:global |
kind:X |
Type of knowledge | kind:insight, kind:decision, kind:pattern, kind:reference, kind:task |
layer:X |
Abstraction level | layer:architecture, layer:implementation, layer:debugging, layer:research |
persistence:X |
Sync tier eligibility | persistence:durable (promote to user/org), persistence:ephemeral (project-only) |
Example tag set for a Unity ECS memory:
["topic:unity-ecs", "topic:dots", "scope:project", "kind:pattern", "layer:architecture"]
Example tag set for a cross-project durable memory:
["topic:typescript", "scope:global", "kind:pattern", "layer:architecture", "persistence:durable"]
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 · 119 lines · 1,325 tokens per session scan A 570a348e435d
neurodivergent-memory copilot-instructions.md is an instructions file published in the GitHub repository jmeyer1980/neurodivergent-memory (18 stars, last pushed today), licensed MIT. It adds 1,325 tokens to every session, about $0.0066 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 2026-08-30.
Other instructions, from other repositories
mentedb copilot-instructions.md
Copilot instructions for nambok/mentedb, covering mentedb development instructions, project overview, workspace structure, build, test, and lint and key types.
agidb CLAUDE.md
Instructions for rohansx/agidb, covering agidb — claude code instructions, naming, before changing anything, agent skills and issue tracker.
agmem CLAUDE.md
Instructions for albedoweb/agmem, covering agmem — project memory, phrase the query for bm25, treating the output and saving memories.
agent-knowledge AGENTS.md
Instructions for yucx-go/agent-knowledge, covering agents.md, what this project is, when you (an agent) should use it, quickest path to use and option 1: mcp server (recommended for agent integration).
plur CLAUDE.md
Claude Code instructions for plur-ai/plur, covering claude.md, what is plur, development, package dependency and version bumps.
engraphis AGENTS.md
AGENTS.md instructions for Coding-Dev-Tools/engraphis, covering agents.md — engraphis, internal subagent delegation, 0. read this first — two architectures live in one package, 1. commands and ── unified dashboard + memory inspector ──.