cursorrules

A set of project rules for using a persistent memory service through the Model Context Protocol, a standard way for AI assistants to use external tools.

In plain words
What is it for?
Maintain project-specific memories about architecture, conventions, bugs, performance, operations, security, testing, and tooling.
Why use it?
It tells an assistant when to search, save, update, or delete project memories so important decisions are not lost or duplicated.

Cursor rule for Cursor

Install

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.

agentmods
npx agentmods add rules/labforgedev/copilot-memory-mcp/cursorrules
Clone the repo
git clone --depth 1 https://github.com/LabForgeDev/copilot-memory-mcp

Made for: Cursor.

Per session 153 This file is loaded in full into every session.
When invoked 153 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 $0.00153 $0.00153
Opus 5 $0.00077 $0.00077
Sonnet 5 $0.00031 $0.00031
Haiku 4.5 $0.00015 $0.00015

Measured yesterday against content hash 49c1b2b570d5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cursorrules 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 yesterday.

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.

examples/.cursorrules · 12 lines

What it actually says

You have access to a persistent memory MCP server (copilot-memory) at http://localhost:8000/sse.

Available tools: create_memory, search_memories, update_memory, delete_memory, list_memories.

Rules:

  1. Always search before answering questions about architecture, conventions, or past decisions — call search_memories first.
  2. Always save new architectural decisions, agreed conventions, and non-obvious workarounds.
  3. Set project_name to the current repository name on every call.
  4. Prefer update_memory over delete + recreate when content changes.
  5. Use consistent tags: architecture, convention, bug, performance, devops, security, testing, tooling.
  6. Do not save temporary debug notes or information already obvious from the code.
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. yesterday First seen · 12 lines · 153 tokens per session scan A 49c1b2b570d5

Subscribe to this mod's changes

cursorrules is a cursor rule published in the GitHub repository LabForgeDev/copilot-memory-mcp (3 stars, last pushed 5mo ago), licensed MIT. It adds 153 tokens to every session, about $0.0008 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.