What is Claude Codex Gemini Mem?

Claude Codex Gemini Mem is a sophisticated, cross-window memory plugin that provides a persistent semantic memory and context management layer for AI agents, solving the 'context loss' problem in AI development workflows across multiple sessions.

How does it ensure persistent memory for AI agents?

It implements a persistent semantic memory layer that allows AI agents to 'remember' project structure, past decisions, and tool execution history. It also features automatic context compression into high-density memory nodes for efficient storage and retrieval.

Which AI platforms are compatible with Claude Codex Gemini Mem?

This tool offers unified context management supporting Claude Code, Gemini CLI, and Codex CLI simultaneously through native plugins, hook systems, and MCP server integrations.

What unique features does Claude Codex Gemini Mem offer developers?

Key features include semantic search for natural language history retrieval, a web dashboard for real-time monitoring of AI's thought process, automatic synchronization of memory across all windows, and optimization for LLM Retrieval-Augmented Generation (RAG).

Claude Codex Gemini Mem

Name: Claude Codex Gemini Mem
Author: CHANGGELY

•

Provides a persistent semantic memory and context management system for AI agents, enabling cross-session continuity for Claude, Gemini, and Codex.

Claude Codex Gemini Mem

•

Provides a persistent semantic memory and context management system for AI agents, enabling cross-session continuity for Claude, Gemini, and Codex.

概要

This tool addresses the 'context loss' problem prevalent in AI development by offering a sophisticated, cross-window memory plugin. It establishes a persistent semantic memory layer, allowing AI agents to retain project structure, past decisions, and tool execution history across multiple windows and sessions. Optimized for LLM retrieval-augmented generation (RAG), it includes automatic context compression and provides a unified context management system for Claude Code, Gemini CLI, and Codex, significantly enhancing AI workflow efficiency and memory capabilities.

主な機能

Persistent semantic memory layer across multiple windows and sessions
Semantic search capability for natural language history retrieval
Unified context management supporting Claude Code, Gemini CLI, and Codex simultaneously
1 GitHub stars
Automatic context compression and summarization into high-density memory nodes
Web dashboard for real-time monitoring of AI's thought process

ユースケース

Optimizing LLM retrieval-augmented generation (RAG) by providing persistent, searchable historical context
Developing AI agents that require long-term memory and context retention across sessions
Managing complex AI development workflows to prevent context loss and enhance continuity

概要

主な機能

Persistent semantic memory layer across multiple windows and sessions
Semantic search capability for natural language history retrieval
Unified context management supporting Claude Code, Gemini CLI, and Codex simultaneously
1 GitHub stars
Automatic context compression and summarization into high-density memory nodes
Web dashboard for real-time monitoring of AI's thought process

ユースケース

Optimizing LLM retrieval-augmented generation (RAG) by providing persistent, searchable historical context
Developing AI agents that require long-term memory and context retention across sessions
Managing complex AI development workflows to prevent context loss and enhance continuity