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 — one command, MCP-based
- Claude Desktop, Web & Mobile — the Claude apps, one-click connector
- 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 |
Common questions
How do I stop copy-pasting context between AI chat tools? Connect each tool to one Mnemoverse memory instead of re-explaining yourself. Write your context once in any tool and recall it in the others — Claude and editors via MCP, ChatGPT via Custom Actions, Gemini and Perplexity via the REST API.
Can ChatGPT, Claude, and Gemini share the same memory? Yes. One Mnemoverse API key is a single memory all of them read and write. There is no per-app silo: a fact you store in ChatGPT is available to Claude, Cursor, Gemini, and any other connected tool.
How do I set up a shared memory layer for my AI tools? Get one API key at console.mnemoverse.com, then connect your primary tool (Claude, ChatGPT, or an editor) and add others over time. Every tool points at the same key, so they all share one memory automatically.
How does Mnemoverse differ from RAG for AI chat? RAG retrieves from documents; Mnemoverse remembers you — your preferences, decisions, and conversation history — and improves via a feedback loop. RAG answers "what do the docs say?", Mnemoverse answers "what did we discuss last time?" They complement each other.
Get Started
- Get an API key (free)
- Set up your primary tool (Claude, ChatGPT, or editors)
- Start using naturally — "remember that I prefer..." / "what do you know about my..."
- Add more tools — they all share the same memory