Problem
Each LLM provider maintains its own isolated conversation history. If you use ChatGPT for brainstorming, Claude for coding, and Perplexity for research, none of them know what the others discussed. This forces users to repeatedly re-explain context, preferences, and project details every time they switch tools.
The problem compounds over time:
- Personal preferences and coding style must be restated in each tool
- Project context built up in one provider is invisible to others
- ChatGPT's memory feature is locked to OpenAI and cannot export
- Users who hit rate limits on one provider lose all accumulated context when switching
- There is no standard protocol for sharing memory across LLM interfaces
Solution
Install the Mem0 Chrome extension to automatically sync memory and context across ChatGPT, Claude, and Perplexity browser interfaces.
Step 1: Install and configure Mem0
1. Install the Mem0 Chrome extension from https://mem0.ai
2. Create a Mem0 account and sign in through the extension
3. Visit ChatGPT, Claude, or Perplexity in your browser
4. The extension automatically detects supported LLM interfaces
Step 2: Build up memory through normal usage
When you chat with any supported LLM, Mem0 captures key context:
- Personal preferences ("I prefer TypeScript over JavaScript")
- Project details ("I'm building a SaaS app with Next.js and Supabase")
- Technical decisions ("We use Tailwind CSS and shadcn/ui")
- Workflow patterns ("I like atomic commits with conventional commit messages")
Step 3: Access shared memory across providers
Switch from ChatGPT to Claude or Perplexity.
Mem0 injects relevant memory into the new conversation automatically.
The LLM receives your preferences and project context without you restating them.
Using the Mem0 API for custom integrations:
from mem0 import Memory
m = Memory()
# Store a memory
m.add(
"User prefers functional React components with TypeScript interfaces",
user_id="developer-1",
)
# Retrieve relevant memories for a new context
memories = m.search(
query="What frontend stack does the user prefer?",
user_id="developer-1",
)
for memory in memories:
print(memory["text"])
Why It Works
Mem0 acts as a persistent memory layer that sits between you and your LLM providers. The Chrome extension intercepts conversations in the browser and extracts key facts, preferences, and context. When you start a new conversation on any supported provider, Mem0 injects relevant memories into the system context. This creates the illusion of a single continuous memory across all your AI tools. The API also allows programmatic access for building custom memory-aware applications.
Context
- Mem0 was highlighted in the YCombinator community and supports ChatGPT, Claude, and Perplexity as of early 2025
- The extension stores memories in Mem0's cloud; review their privacy policy before use with sensitive data
- ChatGPT's native memory feature is limited to OpenAI and has caused issues with stale context for users who stopped paying for Pro
- For privacy-sensitive workflows, Mem0 also offers a self-hosted option via their Python SDK
- Consider scoping memory per project to avoid cross-contamination between unrelated work