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memex MCP Server

iamtouchskyer/memex

Score: 84.8 → 0% Rank #951 Search & RAG
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Zettelkasten-based persistent memory for AI coding agents. Works with Claude Code, Cursor, VS Code Copilot, Codex, Windsurf & any MCP client. No vector DB — just markdown + git sync.

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claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

iamtouchskyer/memex is a TypeScript tool licensed under MIT. Zettelkasten-based persistent memory for AI coding agents. Works with Claude Code, Cursor, VS Code Copilot, Codex, Windsurf & any MCP client. No vector DB — just markdown + git sync. Topics: agent-memory, ai-agent, ai-coding, claude-code, cursor, knowledge-management, mcp-server, memory, vscode, zettelkasten.

Ranked #951 out of 24846 indexed tools.

In the top 4% of all indexed tools.

Has 22 contributors.

Ecosystem

TypeScript MIT
agent-memoryai-agentai-codingclaude-codecursorknowledge-managementmcp-servermemoryvscodezettelkasten

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 143

143 stars → growing community

Freshness 25% 2mo ago

Last commit 2mo ago → moderate activity

Issue Health 25% 98%

48/49 issues closed → responsive maintainer

Contributors 10% 22

22 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 42
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 64 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for iamtouchskyer/memex
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Matched Queries

topic:mcp-server

From the README

# memex

Persistent memory for AI coding agents. Your agent remembers what it learned across sessions.

[English](#english) | [中文](#中文) | [日本語](#日本語) | [한국어](#한국어) | [Español](#español)

---

## English

Every time your AI agent finishes a task, it saves insights as atomic knowledge cards with `[[bidirectional links]]`. Next session, it recalls relevant cards before starting work — building on what it already knows instead of starting from scratch.

No vector database, no embeddings — just markdown files your agent (and you) can read.

### Supported platforms

| Platform | Integration | Experience |
|----------|------------|------------|
| **Claude Code** | Plugin (hooks + skills) | Best — auto-recall, slash commands, SessionStart hook |
| **VS Code / Copilot** | MCP Server | 12 MCP tools, zero config |
| **Cursor** | MCP Server | 12 MCP tools, zero config |
| **Codex** | MCP Server | 12 MCP tools, zero config |
| **Windsurf** | MCP Server | 12 MCP tools, zero config |
| **Pi** | Exten
Read full README on GitHub →

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