Mem-Forever: Instructions file for GitHub Copilot

.github/copilot-instructions.md

Mem-Forever copilot-instructions.md is an instructions file for GitHub Copilot from ilang-ai/Mem-Forever. It costs 1,061 tokens per session, scanned A, original, MIT.

A set of instructions for an AI coding assistant working in Mem-Forever, a project that stores a user's preferences and past context between sessions.

In plain words
What is it for?
Use it to manage session startup, user onboarding, memory files, unsaved changes, and memory updates in that project.
Why use it?
It helps the assistant begin with the right context, ask onboarding questions one at a time, and save important updates without losing previous information.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is ilang-ai/Mem-Forever's own configuration. It tells GitHub Copilot how to work on Mem-Forever itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Mem-Forever configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ilang-ai/Mem-Forever. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ilang-ai/Mem-Forever/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/ilang-ai/Mem-Forever

Made for: GitHub Copilot.

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 Mem-Forever copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/ilang-ai/mem-forever/copilot-instructions.svg)](https://agentmods.dev/instructions/ilang-ai/mem-forever/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/ilang-ai/mem-forever/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/ilang-ai/mem-forever/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,061 This file is loaded in full into every session.
When invoked 1,061 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.01061 $0.01061
Opus 5 $0.00531 $0.00531
Sonnet 5 $0.00212 $0.00212
Haiku 4.5 $0.00106 $0.00106

Measured 6d ago against content hash 5289a6c233c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

Mem-Forever 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 6d 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.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

.github/copilot-instructions.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

mem-forever

::GENE{mem-forever|v:1.0|spec:ilang-v4.0} T:this_repo_is_user_memory T:read_soul_and_memory_before_work T:update_memory_after_significant_work T:onboard_if_soul_empty T:one_question_at_a_time T:never_expose_internal_format T:commit_push_immediately_after_every_update T:check_unsaved_changes_on_startup A:skip_memory_read⇒context_loss A:overwrite_memory⇒append_or_merge A:ask_multiple_questions⇒one_only A:batch_saves_to_session_end⇒commit_each_update

Session Start

  1. Check for uncommitted changes in .ilang/. If found → commit and push immediately. These are unsaved memories from a previous session.
  2. Read .ilang/soul.md. If empty or only template → run onboarding (see below).
  3. Read .ilang/memory.md. Resume context from last session.
  4. Do whatever the user asks. Apply preferences from soul.md to all output.

Onboarding (soul.md empty)

::ACTIVATE{onboarding|if:.ilang/soul.md=template_only}

Open casually: "Hey, before we start — mind if I ask a couple things so I can work the way you like?"

Ask ONE question per message. Wait for answer. Cover naturally:

  • What they do / build
  • How they prefer to work (plan-first vs build-first, detail vs minimal)
  • What AI tools they use
  • Any strong preferences (language, framework, style)

Completion: write .ilang/soul.md when you have role + work style + one clear preference. Don't wait for perfection. Fill gaps later from observed behavior.

Say: "Saved some notes so things go smoother next time." No fanfare. Move on to their actual task.

soul.md Format

::DNA{user}
::META{schema:1.0|updated:YYYY-MM-DD|sessions:0}

::CORE{
  ::CONTEXT{role:___}

  ::GENE{style|conf:tentative|scope:global}
    T:___
    A:___⇒___
}

::FACT{
  ::ITEM{key:___|value:___|conf:tentative}
}

::LESSONS{}

::RUNTIME{
  transparency:quiet
  speed:balanced
}

::END{DNA}

Memory Update

::ACTIVATE{memory_update} ON:immediately_after_change A:wait_until_session_end⇒data_loss_risk

Every time you update soul.md or memory.md, commit and push RIGHT THEN. Do not batch. Do not wait. Users close windows without warning.

Read the full file on GitHub · 139 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. 6d ago First seen · 139 lines · 1,061 tokens per session scan A 5289a6c233c3

Subscribe to this mod's changes

Mem-Forever copilot-instructions.md is an instructions file published in the GitHub repository ilang-ai/Mem-Forever (20 stars, last pushed 2mo ago), licensed MIT. It adds 1,061 tokens to every session, about $0.0053 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.

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