Mnemex MCP server
io.github.simplemindedbot/mnemex·v0.5.2·36 starsTemporal memory for AI with decay and reinforcement. Two-layer storage (JSONL + Markdown).
36 stars11 downloads/wk
Reviews
Write oneNobody has reviewed Mnemex yet.
If you have run it, two minutes of your experience saves the next person an afternoon.
Mnemex tools (14, 1 write)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
cluster_memoriesCluster similar memories for potential consolidation or find duplicates.
consolidate_memoriesConsolidate similar memories using algorithmic merging.
create_relationwrite actionCreate an explicit relation between two memories.
gcPerform garbage collection on low-scoring memories.
get_performance_metricsGet current performance metrics and statistics.
observe_memory_usageRecord that memories were actively used in conversation.
open_memoriesRetrieve specific memories by their IDs.
promote_memoryPromote high-value memories to long-term storage.
read_graphRead the entire knowledge graph of memories and relations.
reset_performance_metricsReset all performance metrics and return confirmation.
save_memorySave a new memory to short-term storage.
search_memorySearch for memories with optional filters and scoring.
search_unifiedSearch across both STM and LTM with unified ranking.
touch_memoryReinforce a memory by updating its last accessed time and use count.
Public scan report
scanner v0.1.10 · 2026-10-01 · same rubric, same numbers if you re-run it
- Code scan57 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 0 days ago15/15
- Maintainer identityregistry namespace matches repository owner7/10
How Mnemex compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 91/100
- higher than 85% of 48,255 servers
- Tools
- 14
- the typical server has 7
- Tools that change things
- 7%
- typical: 0%. Fewer write tools means less an agent can break
- GitHub stars
- 36
- more than 92% of 28,688 servers
- Downloads a week
- 11
- more than 3% of 12,191 servers with a package
What its tools let an agent do: 11 read · 3 create
Install Mnemex in Claude Code, Cursor or VS Code
claude mcp add mnemex -- uvx mnemex
What the publisher says
From the Mnemex repository's README, as published. We do not edit it. Read it on GitHub
CortexGraph: Temporal Memory for AI
<!-- mcp-name: io.github.prefrontal-systems/cortexgraph -->
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.
What is CortexGraph?
CortexGraph gives AI assistants like Claude a human-like memory system.
The Problem
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.
What CortexGraph Does
CortexGraph makes AI assistants remember things naturally, just like human memory:
- 🧠 Remembers what matters - Your preferences, decisions, and important facts
- ⏰ Forgets naturally - Old, unused information fades away over time (like the Ebbinghaus forgetting curve)
- 💪 Gets stronger with use - The more you reference something, the longer it's remembered
- 📦 Saves important things permanently - Frequently used memories get promoted to long-term storage
How It Works (Simple Version)
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Mnemex: common questions
- Is Mnemex MCP server safe?
- Yes, by our scan: it is graded A (91/100). Read the Mnemex safety report
- How do I install Mnemex?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Mnemex need an API key?
- No secret keys are declared. It reads 4 settings from the environment.
- Is Mnemex maintained?
- The last commit was 34 days ago (2026-10-01). The latest release is v0.5.2.
- How does Mnemex compare with other MCP servers?
- safety score 91/100 (higher than 85% of 48,255 servers); tools 14 (the typical server has 7); tools that change things 7% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.