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/ozgurkarahan/ai-agent-memory/copilot-instructionsgit clone --depth 1 https://github.com/ozgurkarahan/ai-agent-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/ozgurkarahan/ai-agent-memory/copilot-instructions)<a href="https://agentmods.dev/instructions/ozgurkarahan/ai-agent-memory/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/ozgurkarahan/ai-agent-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 | $0.00378 | $0.00378 |
| Opus 5 | $0.00189 | $0.00189 |
| Sonnet 5 | $0.00076 | $0.00076 |
| Haiku 4.5 | $0.00038 | $0.00038 |
Grade A, and why
ai-agent-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.
What it actually says
Copilot Instructions
Read these files for full context:
AGENT.md— Project instructions, workflow rules, architecture, key paths~/projects/memory/wiki/projects/ai-agent-memory.md— Project wiki page (lessons, decisions)~/projects/memory/agent-config/workflow.md— Global workflow rules
Copilot-Specific Tips
- Use
@workspaceto give Copilot full project context - Pin
AGENT.mdin chat for persistent context - Use Copilot Edits (Ctrl+Shift+I) for multi-file changes
- Run tests manually — Copilot cannot execute them
- When corrected, update the project wiki page at
~/projects/memory/wiki/projects/ai-agent-memory.md
Shared knowledge base (memory wiki)
A compounding cross-project knowledge base lives at ~/projects/memory
(%USERPROFILE%\projects\memory on Windows; resolve ~ to your home dir).
Consult it reflexively before answering about clients, domains, patterns,
tools, colleagues, or past work — do not answer from memory when the wiki
has the answer.
# from ANY repo — resolves the wiki root from the script's own location
python ~/projects/memory/scripts/wiki-search.py <terms> # ranked hits
python ~/projects/memory/scripts/wiki-search.py <terms> --full # + Summary
- Read the top matching page(s) in full before you answer.
- Compact catalog / router:
~/projects/memory/index.md(per-category summaries in~/projects/memory/wiki/{category}/_index.md). - When you learn something durable about this project or client, ask the user to
run
ingestin the memory repo so it compounds for future sessions.
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 · 36 lines · 378 tokens per session scan A 64d9d7dad26a
ai-agent-memory copilot-instructions.md is an instructions file published in the GitHub repository ozgurkarahan/ai-agent-memory (8 stars, last pushed 1mo ago), licensed MIT. It adds 378 tokens to every session, about $0.0019 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
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).
aeon CLAUDE.md
Claude Code instructions for aeonfun/aeon, covering aeon, how aeon works, strategy, voice and soul file hierarchy (read in this order).
wayland-core copilot-instructions.md
Copilot instructions for FerroxLabs/wayland-core, covering ijfw rules, output discipline, memory routing, context discipline and cross-audit.
mcp-structured-memory CLAUDE.md
Claude Code instructions for nmeierpolys/mcp-structured-memory, a project described as: Structured Memory MCP Server.
inkwell-memory CLAUDE.md
Instructions for veronchenko/inkwell-memory, covering claude.md — inkwellmemory, layout, multi-tenant mode (inkwellmultitenant=1), conventions and testing.
memory-mcp-1file AGENTS.md
Instructions for pomazanbohdan/memory-mcp-1file, covering ⛔ l0 invariants (never violate under any circumstance), detection heuristic, 🔀 phase transition routing (⛔ blocking), gate-0: phase identification & loading and 🧾 proof-of-load requirement (critical).