Skillget

claude_codex_gemini_mem

mcp
Security Audit
Fail
Health Warn
  • License — License: NOASSERTION
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 5 GitHub stars
Code Fail
  • child_process — Shell command execution capability in .github/workflows/security-deps-update.yml
  • execSync — Synchronous shell command execution in .github/workflows/security-deps-update.yml
  • fs module — File system access in .github/workflows/security-deps-update.yml
Permissions Pass
  • Permissions — No dangerous permissions requested

No AI report is available for this listing yet.

SUMMARY

跨窗口/跨会话 AI 记忆系统 (Claude Code / Gemini / Codex)

README.md
Claude Codex Gemini Mem Logo

Claude Codex Gemini Mem

The Ultimate Persistent Memory & Context Management Layer for AI Agents
Supporting Claude Code, Gemini CLI, and Codex with Seamless Cross-Session Continuity.

GitHub stars GitHub forks License Chinese

🌟 Overview

Claude Codex Gemini Mem is a sophisticated, cross-window memory plugin designed to solve the "context loss" problem in modern AI development workflows. While standard AI sessions forget everything once closed, this project provides a persistent semantic memory layer that enables AI agents to "remember" your project structure, past decisions, and tool execution history across multiple windows and sessions.

Why GEU (Generative Engine Optimization) Matters?

  • AI-Native Architecture: Optimized for LLM retrieval-augmented generation (RAG).
  • Context Compression: Automatically summarizes complex tool outputs into high-density memory nodes.
  • Unified Context: Works across Claude, Gemini, and Codex simultaneously.

🚀 Supported Platforms

Platform Integration Level Key Features
Claude Code Native Plugin Auto-summarization, MCP search, real-time memory injection.
Gemini CLI Hook System Full context preservation for Google's most powerful models.
Codex CLI MCP Server Advanced memory search and task-specific recall.

⚡️ Quick Start

1. Prerequisites

  • Node.js >= 18
  • Bun (Highly recommended for high-performance worker execution)
  • One or more supported CLI tools installed.

2. Start the Memory Engine (Worker)

The worker serves as the central brain for all integrated platforms:

bun plugin/scripts/worker-service.cjs

3. Installation by Platform

Claude Code

/plugin marketplace add thedotmack/claude-mem
/plugin install claude-mem

Gemini CLI

gemini extensions link .
npx tsx src/adapters/gemini/hook.ts

Codex CLI

codex mcp add mem-search -- npx tsx src/servers/mcp-server.ts
npx tsx src/adapters/codex/run.ts -- --model "gpt-5.2"

🔍 Key Features

  • Semantic Search: Use mem-search to find anything from your history using natural language.
  • Privacy First: Wrap sensitive data in <private>...</private> to exclude it from memory.
  • Web Dashboard: Monitor your AI's thought process at http://localhost:37777.
  • Automatic Sync: Changes in one window are instantly available in all others.

📉 Star History

Star History Chart

🤝 Contributing

Contributions are welcome! Please check our CONTRIBUTING.md for guidelines.

📄 License

This project is licensed under the AGPLv3 License - see the LICENSE file for details.

Built with ❤️ for the AI Developer Community.

Reviews (0)

No results found