We're entering an era where AI assistants are everywhere. But there's a problem: your context, research, and insights are still locked inside individual platforms.

AI Context Flow changes that.

Now you can capture information from ANY website and instantly use it across ChatGPT, Claude, Grok, Gemini, Perplexity (or any of 30+ AI models in our memory studio). If AI is truly your second brain, it should follow you everywhere you go.

Here's how it works:
Create topic-specific buckets (from the extension or Memory Studio)
Highlight and save text from any webpage directly to your AI memory
Access that context instantly across all major AI platforms

Different AI models excel at different tasks. This isn't just theory, it's backed by real-world benchmarks:
leads in coding (80.9% on SWE-bench) and long-form writing with careful reasoning
excels at conversational tasks, creative work, and maintains memory across sessions
dominates with 1M-token context windows, making it ideal for analyzing lengthy documents
(Writer's enterprise LLM) offers cost-effective performance for business workflows with specialized variants for healthcare, finance, and creative tasks
Despite these clear differences, most professionals stick to one platform. Why?
: Switching between AI tools means losing context every single time. You waste hours re-explaining project details, preferences, and constraints. Tab-switching becomes friction. Context-switching becomes exhausting.
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This is exactly what we have done with Pluto - Plurality Network's ontology agent that supports switching between 30+ AI agents.
1. Go to our memory studio: https://lnkd.in/dp3EJjZj
2. Create memory buckets for your projects in the Memory Studio
3. Add documents or manually input context
4. Switch between ChatGPT, Claude Opus or Sonnet, Gemini, or Palmyra and others mid conversation. Your context stays intact.

Most AI platforms treat memory like a walled garden.

What you tell ChatGPT stays in ChatGPT. What Claude learns about you stays in Claude.

People frame this as a "memory" problem. We don't think it is. It's an interoperability problem.

Throughout building our universal memory layer, this is the pattern we kept seeing:

: '

Ever asked ChatGPT about "the login system" and watched it confidently mix up three different projects?

That's memory bleed i.e. when your AI assistant can't separate your contexts. Your healthcare client's specs bleed into your fintech code.

Your Python project gets Node.js suggestions from yesterday's conversation. Your personal writing style contaminates professional emails.

Imagine taking your entire AI conversation history and context with you, across every platform you use.
That's what we've built with AI Context Flow. We already support ChatGPT, Claude, Grok, Gemini, and Perplexity. What more should we support?
Vote and drop a comment if you have specific platforms in mind. Your input directly shapes our roadmap.

One memory across 30+ agents

Switching between different AI models should not force you to endlessly repeat your information again and again.

We decided 2025 would be the last year that people spend 5+ hours/week in endless context repetition loops. Hence emerged AI Context Flow, #1 product of the day with ~2000 users now!

But 2026 is going to be even better. Today, I'm excited to announce our biggest update yet: Pluto (can you guess the wordplay here? )

We built a small calculator for you to see how much time you are wasting per day/week/year just due to context switching between different AI tools. Try it out!
My wastage was 6 hours/week, what's yours?