Universal Memory for AI Chat

One memory across ChatGPT, Claude, Gemini, and every AI chat tool. Stop repeating yourself to each one.

The Problem

You told ChatGPT your tech stack. Claude doesn't know it. You explained your project to Gemini. Perplexity starts from scratch. Each AI lives in its own silo.

Mnemoverse breaks the silos. One API key, one memory, every tool.

How It Works

                    ┌── Claude Code / Desktop (MCP)
                    ├── Cursor / VS Code / Windsurf (MCP)
   Mnemoverse API ──├── ChatGPT (Custom Actions)
   (one memory)     ├── Gemini (REST API)
                    ├── Perplexity (REST API)
                    └── Your own app (Python SDK / REST)

Every tool connects to the same Mnemoverse API. Write a memory in one, recall it in any other. Your context follows you everywhere.

Setup Guides

Each tool has its own integration page with step-by-step setup:

• Claude Code & Desktop — one command, MCP-based
• Cursor, VS Code & Windsurf — JSON config, MCP-based
• ChatGPT — Custom GPT with Actions, OpenAPI spec

Or give your agent this URL to self-configure: https://raw.githubusercontent.com/mnemoverse/.github/main/llms.txt

Gemini

The Mnemoverse REST API works with any tool that can make HTTP requests. Use the Python SDK in a Google Colab notebook or integrate directly via REST.

from mnemoverse import MnemoClient

client = MnemoClient(api_key="mk_live_YOUR_KEY")

# Store context from a Gemini conversation
client.write(
    "User's project uses FastAPI + PostgreSQL, deployed on GCP",
    concepts=["stack", "fastapi", "gcp"]
)

# Later, in any tool — retrieve it
results = client.read("what tech stack does the user have?")

Perplexity

Same approach — use the REST API alongside Perplexity queries. Perplexity retrieves web knowledge; Mnemoverse retrieves your knowledge.

The Key Idea

RAG gives AI access to documents. Mnemoverse gives AI access to you — your preferences, decisions, lessons, and context. They complement each other:

	RAG	Mnemoverse
Source	Documents, knowledge bases	Conversations, user behavior
Answers	"What does the docs say?"	"What did we discuss last time?"
Learns	No	Yes — feedback loop improves relevance
Cross-tool	No — per-app index	Yes — one memory, every tool

Get Started

1. Get an API key (free)
2. Set up your primary tool (Claude, ChatGPT, or editors)
3. Start using naturally — "remember that I prefer..." / "what do you know about my..."
4. Add more tools — they all share the same memory