Borrowing it
Nothing to install: this file belongs to elViRafa/agentic-memory. 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/elViRafa/agentic-memory/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/elViRafa/agentic-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/elvirafa/agentic-memory/copilot-instructions)<a href="https://agentmods.dev/instructions/elvirafa/agentic-memory/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/elvirafa/agentic-memory/copilot-instructions/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/elvirafa/agentic-memory/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/elvirafa/agentic-memory/copilot-instructions.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 | $0.02647 | $0.02647 |
| Opus 5.5 | $0.01059 | $0.01059 |
| Sonnet 5.5 | $0.00529 | $0.00529 |
| Haiku 4.5 | $0.00265 | $0.00265 |
Grade C, and why
agentic-memory copilot-instructions.md scanned grade C with 1 finding 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 2mo 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- <<< memory-fabric:instructions <<< --> How it starts
The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Directives — Memory Fabric
Hand-curated development guidelines shared by every AI agent working on this repo.
Source of truth: the role: steering section files in .ai-memory/. Edit those
files (review via MR), then run ai-memory sync-agents — never edit this
generated copy in place.
Framework Rules Map
This section provides the high-level system requirements and CLI usage overview for the memory-fabric package.
1. System Requirements
- Python Version:
Python >= 3.11 - Core Dependencies:
mcp >= 1.0.0(optional; required only if running as an MCP server).ripgrep(rg): optional but highly recommended to speed up searches.
2. Installation Conventions
# CLI only
pip install "git+https://github.com/elViRafa/agentic-memory.git"
# CLI + MCP Server
pip install "memory-fabric[mcp] @ git+https://github.com/elViRafa/agentic-memory.git"
3. Command Line Interface (CLI)
The package installs a global executable ai-memory:
ai-memory [--cwd <path>] [--json] <command>
Supported Commands Overview:
init,status,doctor,eval,dream,query,sync-global,rollback.
(For detailed schemas returned by these CLI commands, see the CLI Contracts Map)
4. Testing Conventions
- Use standard
pytestfor all unit and integration testing. Runpytest tests/from the root directory.
Granular Rules
Specific rule sets and agent instructions are stored in the granular memory store:
MCP Agent Instructions
Strict rules on how AI Agents should interact with the .ai-memory/ directory using MCP tools rather than standard OS filesystem tools.
👉 View Agent Instructions
Ubiquitous Language
A shared glossary of domain terms utilized in the development, testing, and operation of Memory Fabric.
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.
- 2mo ago First seen · 192 lines · 2,647 tokens per session scan C 088944c3fb66
agentic-memory copilot-instructions.md is an instructions file published in the GitHub repository elViRafa/agentic-memory (1 stars, last pushed 20d ago), licensed MIT. It adds 2,647 tokens to every session, about $0.0106 per session on Opus 5.5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
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