Universal Memory for AI Chat
Mnemoverse keeps 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 Mnemoverse account, one memory, every tool, whether the tool connects with an API key or OAuth.
How It Works
┌── Claude Code / Desktop (MCP)
├── Cursor / VS Code / Devin Desktop (MCP)
Mnemoverse API ──├── ChatGPT (MCP / 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 — per-editor guides, MCP-based
- ChatGPT — MCP connector with browser sign-in, or a Custom GPT with Actions on Business, Enterprise and Edu workspaces
Or give your agent this URL to self-configure: https://mnemoverse.com/docs/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 share memory between Claude and ChatGPT?
Connect both to one Mnemoverse memory: Claude over MCP (one command in Claude Code, one-click connector in the Claude apps), ChatGPT via a custom MCP server connector (OAuth sign-in) or, in a workspace, a Custom GPT Action with an API key from the same Mnemoverse account. Write a fact in either tool and the other recalls it — no copy-paste.
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 and recall it in the others — Claude and editors via MCP, ChatGPT via its MCP connector or Custom Actions, Gemini and Perplexity via the REST API. Recall works wherever a tool is connected; whether ChatGPT can also save depends on your ChatGPT plan (the table).
Can ChatGPT, Claude, and Gemini share the same memory?
Yes, when every tool connects as the same Mnemoverse account: the memory belongs to the account, not to a tool or a key. Claude and the editors connect with an API key or browser sign-in (OAuth), Gemini with an API key over the REST API, and ChatGPT with browser sign-in through its MCP connector or, on a Business, Enterprise or Edu workspace, with an API key in a Custom GPT. There is no per-app silo: a fact stored in one tool is available to every other tool on that account. Whether ChatGPT can connect at all, and whether it can save facts or only recall them, depends on your ChatGPT plan.
How do I set up a shared memory layer for my AI tools?
Create an account at console.mnemoverse.com, then connect your primary tool (Claude, ChatGPT, or an editor) and add others over time. Connect every tool as that same account, with an API key or browser sign-in, and they all share one memory.
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, each connected as the same Mnemoverse account, and they all share the same memory