A set of rules for storing and retrieving persistent project knowledge, such as preferences, design decisions, bug patterns, and performance findings.

It is for recording project conventions, user preferences, reusable code patterns, bug fixes, and relationships between components.

It reduces the need to rediscover earlier decisions and helps an agent use relevant context in later tasks.

memory — Cursor rule for Cursor by felipebarcelospro/igniter-js

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.

Clone the repo

git clone --depth 1 https://github.com/felipebarcelospro/igniter-js

Made for: Cursor.

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.

README.md

[![agentmods](https://agentmods.dev/badge/rules/felipebarcelospro/igniter-js/memory/github.svg)](https://agentmods.dev/rules/felipebarcelospro/igniter-js/memory)

Your own site

<a href="https://agentmods.dev/rules/felipebarcelospro/igniter-js/memory"><img src="https://agentmods.dev/badge/rules/felipebarcelospro/igniter-js/memory/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.

Your own site · 80×15

<a href="https://agentmods.dev/rules/felipebarcelospro/igniter-js/memory"><img src="https://agentmods.dev/badge/rules/felipebarcelospro/igniter-js/memory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,007 This file is loaded in full into every session.

When invoked 1,007 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.01007	$0.01007
Opus 5.5	$0.00403	$0.00403
Sonnet 5.5	$0.00201	$0.00201
Haiku 4.5	$0.00101	$0.00101

Measured 1mo ago against content hash d62f45cac5dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

memory 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 1mo 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.

apps/starter-nextjs/.cursor/rules/memory.mdc · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Memory & Context Management

1. Persistent Memory Protocol

1.1 Memory Storage Strategy

ALWAYS store memories for:

User preferences and communication styles
Successful workflows and patterns discovered
Architectural decisions and their rationales
Bug patterns and their solutions
Performance insights and optimizations
Project-specific conventions and standards
User corrections and feedback

Memory Types & Usage:

user_preference: Communication style, technical preferences, workflow likes/dislikes
architectural_decision: System design choices, technology selections, integration patterns
code_pattern: Reusable code structures, development workflows, best practices
bug_pattern: Common errors, debugging approaches, solution patterns
performance_insight: Optimization techniques, bottlenecks identified, measurement results
insight: General learnings, observations, connections between concepts
relationship_map: How different components/concepts relate to each other

1.2 Context Retrieval Strategy

Before ANY significant task:

Search memories with relevant tags/keywords
Check for similar patterns or past solutions
Review user preferences for this type of work
Look for architectural decisions that might impact the approach

Search Patterns:

Use broad keywords first, then narrow down
Search by type when looking for specific kinds of information
Use tag combinations for precise filtering
Check confidence levels to prioritize reliable information

1.3 Memory Relationships & Evolution

ALWAYS create relationships between related memories using mcp_igniter-mcp_relate_memories
Use relationship types: implements, uses, extends, contradicts, similar_to, depends_on
Update existing memories when new information contradicts or extends them
Build knowledge graphs that show how concepts connect

2. Proactive Memory Management

2.1 Memory Triggers (When to Store)

Explicit Signals:

User says: "remember this", "next time", "always do", "don't do this again"
User provides corrections or alternative approaches
User explains their preferences or workflow

Read the full file on GitHub · 127 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.

1mo ago First seen · 127 lines · 1,007 tokens per session scan A d62f45cac5dc

Subscribe to this mod's changes

memory is a cursor rule published in the GitHub repository felipebarcelospro/igniter-js (241 stars, last pushed 8d ago), licensed Apache-2.0. It adds 1,007 tokens to every session, about $0.0040 per session on Opus 5.5. 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 2026-09-01.

Memory and context api express fastify framework http middleware

memory