AI SummaryCortexGraph is a temporal memory system for AI assistants that implements human-like forgetting curves using local storage (JSONL and Markdown), enabling natural conversation memory across Claude, Cursor, and other platforms without explicit save commands.
Install
Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to add the "cortexgraph — System Prompt" prompt rules to my project. Repository: https://github.com/prefrontal-systems/cortexgraph Please read the repo to find the rules/prompt file, then: 1. Download it to the correct location (.cursorrules, .windsurfrules, .github/prompts/, or project root — based on the file type) 2. If there's an existing rules file, merge the new rules in rather than overwriting 3. Confirm what was added
Description
Temporal memory system for AI assistants with human-like forgetting curves. All data stored locally in human-readable formats: JSONL for short-term memory, Markdown (Obsidian-compatible) for long-term. Memories naturally decay unless reinforced. Features knowledge graphs, smart prompting, and MCP server integration for Claude.
Overview
CortexGraph’s true power lies not in its MCP tools alone, but in how LLMs are taught to use them naturally. This document describes the smart prompt interpretation system — patterns and techniques for making AI assistants remember things like humans do, without explicit commands.
Smart Prompt Interpretation for Memory Systems
Version: 0.2.0 Last Updated: 2025-01-07
Core Principle
> Memory operations should be invisible to the user. When you tell a friend "I prefer tea over coffee," they remember without saying "OK, I'm saving that to my memory database." CortexGraph enables AI assistants to do the same through carefully designed system prompts.
1. Auto-Save (Capture Important Information)
When to trigger: • User shares preferences or personal information • User makes decisions or plans • User provides corrections or feedback • User shares factual information about themselves or their projects • User establishes conventions or workflows Examples: ` User: "I prefer using TypeScript over JavaScript for all new projects" → Auto-save to STM with tags: ["preferences", "typescript", "programming"] User: "The database password is in /home/user/.env" → Auto-save to STM with tags: ["credentials", "database", "security"] • High strength=1.5 for security-critical info User: "I've decided to go with the monorepo approach" → Auto-save to STM with tags: ["decisions", "architecture", "monorepo"] ` Implementation Pattern: `python
Discussion
Health Signals
My Fox Den
Community Rating
Sign in to rate this booster
Works With
Any AI assistant that accepts custom rules or system prompts