Temporal memory for AI with decay and reinforcement. Two-layer storage (JSONL + Markdown).
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io.github.simplemindedbot/mnemex is an MCP server that temporal memory for AI with decay and reinforcement. Two-layer storage (JSONL + Markdown). Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 88/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"cortexgraph": {
"command": "/Users/yourusername/.local/bin/cortexgraph"
}
}
}Are you the author?
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A Model Context Protocol (MCP) server providing human-like memory dynamics for AI assistants. Memories naturally fade over time unless reinforced through use, mimicking the Ebbinghaus forgetting curve.
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A Model Context Protocol (MCP) server providing human-like memory dynamics for AI assistants. Memories naturally fade over time unless reinforced through use, mimicking the Ebbinghaus forgetting curve.
[!NOTE] About the Name & Version
This project was originally developed as mnemex (published to PyPI up to v0.6.0). In November 2025, it was transferred to Prefrontal Systems and renamed to CortexGraph to better reflect its role within a broader cognitive architecture for AI systems.
Version numbering starts at 0.1.0 for the cortexgraph package to signal a fresh start under the new name, while acknowledging the mature, well-tested codebase (791 tests, 98%+ coverage) inherited from mnemex. The mnemex package remains frozen at v0.6.0 on PyPI.
This versioning approach:
- Signals "new package" to PyPI users discovering cortexgraph
- Gives room to evolve the brand, API, and organizational integration before 1.0
- Maintains continuity: users can migrate from
pip install mnemex→pip install cortexgraph- Reflects that while the code is mature, the cortexgraph identity is just beginning
[!IMPORTANT] 🔬 RESEARCH ARTIFACT - NOT FOR PRODUCTION
This software is a Proof of Concept (PoC) and reference implementation for research purposes. It exists to validate theoretical frameworks in cognitive architecture and AI safety (specifically the STOPPER Protocol and CortexGraph).
It is NOT a commercial product. It is not maintained for general production use, may contain breaking changes, and offers no guarantees of stability or support. Use it to study the concepts, but build your own production implementations.
📖 New to this project? Start with the ELI5 Guide for a simple explanation of what this does and how to use it.
CortexGraph gives AI assistants like Claude a human-like memory system.
When you chat with Claude, it forgets everything between conversations. You tell it "I prefer TypeScript" or "I'm allergic to peanuts," and three days later, you have to repeat yourself. This is frustrating and wastes time.
CortexGraph makes AI assistants remember things naturally, just like human memory: