Claude Code is Anthropic's official CLI for coding with Claude. It's fast, powerful, and developer-friendly. But there's one major limitation: it doesn't remember anything between sessions.

Every time you start a new Claude Code session, you're starting from scratch. Your tech stack details, debugging solutions, and architecture decisions from last week? Gone. You have to re-explain everything.

In this guide, you'll learn how to give Claude Code persistent memory using the Model Context Protocol (MCP) — so Claude Code can search and remember all your past conversations across every AI platform.

The Problem: Claude Code Forgets Everything

Claude Code is designed for stateless sessions. This is great for security and privacy, but terrible for developer productivity:

• You re-explain your tech stack every session — "I'm using React 18 with Next.js 14, PostgreSQL on Railway..."
• Debugging solutions get lost — Fixed that weird SSR issue last week? Claude Code doesn't remember.
• No cross-session context — Started a feature in one session, continuing in another? Good luck.
• Can't reference past conversations — "Last month you suggested using Zod for validation" — Claude Code has no idea what you're talking about.

The Solution: MCP Server for Persistent Memory

The Model Context Protocol (MCP) is Anthropic's open standard for connecting AI tools to external data sources. AI Memory MCP Server implements this standard to give Claude Code persistent memory.

Here's how it works:

1. Install AI Memory MCP Server — One command: pip install aimemory-mcp-server
2. Add to Claude Code config — Register the MCP server in your Claude Code settings
3. Upload your conversations — Export from ChatGPT, Claude, DeepSeek, Gemini, Kimi and upload to AI Memory
4. Search in Claude Code — Use search_memories tool to find any past conversation instantly

Step-by-Step Setup Guide

Step 1: Install AI Memory MCP Server

# Install from PyPI (Python 3.10+ required)
pip install aimemory-mcp-server

# Verify installation
aimemory-mcp-server --version
# Should output: aimemory-mcp-server 1.5.0

Step 2: Configure Claude Code MCP

Claude Code stores MCP config in ~/.config/claude-code/mcp.json (Linux/macOS) or %APPDATA%\\claude-code\\mcp.json (Windows).

{
  "mcpServers": {
    "ai-memory": {
      "command": "aimemory-mcp-server",
      "env": {
        "AI_MEMORY_DB_PATH": "~/.ai-memory/memories.db"
      }
    }
  }
}

Step 3: Upload Your Conversations

Go to aimemory.pro and upload your conversation exports:

• ChatGPT: Settings → Data Controls → Export Data → Upload ZIP
• Claude: Go to claude.ai → Settings → Data & Privacy → Export → Upload JSON
• DeepSeek: Profile → Settings → Data Export → Upload JSON
• Gemini: Google Account → Data & Privacy → Download your data → Upload
• Kimi: Settings → Data Management → Export → Upload

Step 4: Test in Claude Code

Restart Claude Code, then try searching your memories:

> I need to find that conversation where we discussed React Server Components vs client-side rendering

[Claude Code uses search_memories tool]

Found 3 results:
1. "RSC vs CSR Performance" (Claude, 2 weeks ago)
   "RSC can reduce your JavaScript bundle by 40-60%..."

2. "Next.js 14 App Router Architecture" (ChatGPT, 1 month ago)
   "The App Router uses server components by default..."

3. "React Performance Optimization" (DeepSeek, 3 weeks ago)
   "Use React.memo() for expensive re-renders..."

12 MCP Memory Tools Available

AI Memory MCP Server provides 12 powerful tools for Claude Code:

Cross-Platform Memory: Search Everything

The biggest advantage of AI Memory MCP Server is cross-platform search. Most developers use multiple AI tools:

• ChatGPT for brainstorming and architecture discussions
• Claude for code review and debugging
• DeepSeek for math/algorithm problems
• Gemini for research and summarization
• Kimi for Chinese-language tasks

With AI Memory, all these conversations are in one searchable database. Ask Claude Code to search for "PostgreSQL connection pooling" and it finds results from all 5 platforms.

Comparison: With vs Without Memory

Frequently Asked Questions