MemPalace

ChatGPT Memory Is Limited to 1,200 Words. Here's the Fix.

Apr 8, 2026

ChatGPT's Memory Problem

ChatGPT's memory feature sounds great in theory: it remembers things about you across conversations. But in practice, it stores roughly 1,200-1,400 words of extracted facts. That's about one page of text.

Think about what that means:

  • You've had 1,000+ conversations with ChatGPT over the past year
  • Those conversations contain millions of tokens of decisions, context, and knowledge
  • ChatGPT's memory keeps less than 0.01% of that

Every time you start a new chat, you're re-explaining your tech stack, your project context, your preferences. ChatGPT doesn't remember the detailed discussion you had about JWT vs sessions last month. It doesn't remember why you chose PostgreSQL over MongoDB. It doesn't remember the SEO strategy you spent 45 minutes developing.

The Fix: Upload Your Full History to MemPalace

MemPalace takes a different approach: instead of letting AI decide what to remember (and losing 99%+ of your context), it stores everything and uses semantic search to find what's relevant.

ChatGPT MemoryMemPalace
Storage~1,200 wordsAll conversations (millions of tokens)
MethodAI extracts "key facts"Stores verbatim with embeddings
RecallUnknown (no published benchmark)96.6% (LongMemEval)
SearchNone (pre-loaded into context)Semantic similarity search
CostIncluded with ChatGPTFree

How to Export and Upload (3 Steps)

Step 1: Export Your ChatGPT Data

  1. Open ChatGPT Settings
  2. Go to Data Controls → Export data
  3. Click Export
  4. Check your email — you'll receive a download link within minutes
  5. Download the zip file and unzip it
  6. Find conversations.json — this is your entire chat history

Step 2: Upload to MemPalace

  1. Go to mempalace.me
  2. Drop conversations.json on the upload area
  3. Your browser parses the file locally and shows you a preview:
    • How many conversations you have
    • Auto-organized into topics (wings) and sub-topics (rooms)
    • No data leaves your browser at this point

Step 3: Save and Connect

  1. Click Save & Connect via MCP
  2. Your browser generates semantic embeddings for every conversation (using the same AI model as the CLI version)
  3. Data is uploaded to the server with your embeddings
  4. You get a personal MCP URL

Now connect your AI tool:

Claude Code:

claude mcp add mempalace --transport http https://mempalace.me/api/mcp?token=YOUR_TOKEN

Cursor / Claude Desktop:

{
  "mcpServers": {
    "mempalace": {
      "type": "url",
      "url": "https://mempalace.me/api/mcp?token=YOUR_TOKEN"
    }
  }
}

What Changes After Setup

Before: "Help me optimize our database queries" → AI asks: "What database are you using? What's your schema?" → You spend 10 minutes re-explaining everything

After: "Help me optimize our database queries" → AI searches your palace, finds your PostgreSQL discussion from January → AI already knows your schema, indexes, and previous optimization attempts → You get actionable advice in seconds

FAQ

Will this replace ChatGPT's built-in memory? No — it complements it. ChatGPT's memory handles basics (your name, language preference). MemPalace handles the deep context (architecture decisions, project history, detailed discussions).

Does it work with Claude and other tools? Yes. MemPalace uses MCP (Model Context Protocol), which works with Claude, Cursor, and any MCP-compatible tool. It's not limited to ChatGPT.

Is my data safe? Parsing happens in your browser. When you save, data is stored with your personal access token. Only your token can access your data. You can delete everything anytime.

How long does it take? About 60 seconds from upload to having a working MCP endpoint. The browser handles all the processing.

Ready to fix your AI's memory? Upload your conversations →

MemPalace Team

MemPalace Team