Two months ago, I'd never heard of Product Hunt. When I told people we were launching @AI Context Flow here, they told me to keep my expectations in check.

Fast forward to today: #1 Product of the Day and #1 Productivity Tool of the Week.

The journey was chaotic, humbling, and honestly surreal. If you'd told me this would happen, I wouldn't have believed you.

To everyone who upvoted, commented, and cheered us on: Thank you. Your support means everything and keeps us building.
If you need any tips on how we pulled this off as complete first-timers, ask your specific questions below

We launched, we won, we almost lost ourselves. This is the honest story of building AI Context Flow after the spotlight faded.

Six months ago, we launched on Product Hunt. We were excited and nervous in equal measure , not sure what a community that has seen everything, every single day, would think of our product. Now, looking back, six months felt both incredibly long and impossibly short. A lot happened. Just consider how many AI launches have come and gone in that time.

Our vision has been the same from day one: one knowledge base that works across all your AI tools.
And to achieve that, we launched our MCP Server in February. It connected to Claude Desktop, Claude Code, LM Studio, and most major AI agents. As far as we were concerned, the MCP chapter was closed.
Then we launched on AppSumo.
Within days, users kept asking for one thing: " ?"
Then came the questions about headless agents. CI scripts. n8n workflows. Users had intricate setups. They wanted a memory store for their OpenClaw agents, which they could also plug into Claude, which they could also call from a workflow runner. One memory, three completely different environments.
That's when we realized our MCP Server had a problem: it only supported OAuth. *facepalm*
(Getting a bit technical here, bear with me)
OAuth assumes there's a user sitting at a UI who can click "sign in" in a browser window. That's fine for Claude Desktop. It falls apart the moment you're running a headless agent on a server, or chaining four tools together in an automated workflow. Nobody is there to click anything!
So the team got to work. A few days later, we shipped Personal Access Tokens (PATs) for the MCP Server.
And that's how we ended up being the that works in three places at once:
In your browser, as a sidebar
Inside your chat agents, as an extension or MCP server
In your programmatic workflows, as an MCP with PAT-based authentication
New setup guides for everything are at docs.plurality.network.
Maybe a weekend project: give your OpenClaw or n8n agents a memory. Make them less forgetful, more intelligent, and a lot more useful.
If you are already running such setups, we have a lifetime deal going on for AI Context Flow: https://appsumo.8odi.net/m4n0da

The numbers tell the story:

3264 users

4.99 rating

5.3% paid conversion

In November 25, AI Context Flow was #1 Product of the Day and #1 Productivity Tool of the Week. It was surreal.

Since then, we have been building in public, together with this amazing community here.

You believed in this before it was polished. You gave us feedback when it was rough. You kept asking for more and that pushed us to build more, and we delivered more.

Everyone's chasing the newest AI model right now.
Claude Opus 4.7 just dropped, GPT-5.4 is out this March, Gemini 3.1 Pro is here.
And honestly? Chase them all, try every one. That FOMO is valid, these models are genuinely getting better every month.
But here's the part nobody talks about:
Every time you open a new model, and switch platforms, the context gets confused.

We started building AI Context Flow to explore this problem.

Not as another AI tool , but more like a layer across tools.

Just think for a sec.
You've told different chat agents your role, your tech stack, your client preferences, your project constraints - hundreds of times across hundreds of conversations.

But where does all that live?

Scattered across chat histories. Fragmented across different platforms. Sometimes contradictory, & mostly out of date.

The problem is: ' .

We built AI Context Flow because we believe the future of AI is about making all your tools and knowledge work as one. Using one AI agent has been the past and multi-agent is the future.

And every time you switch, your context should come with you. This is for you if:

• Your AI agents lose context every time you switch between projects

• You are drowning in saved articles that never talk to your AI

• You re in a team where everyone uses different tools but nobody shares the same context

We are offering $59 for lifetime access available for a limited time. You were the first ones to discover us, so it s only fair that you get the first lifetime plans.

Hey PH!

AI memory is personal by default. Your context, your preferences, your saved info, none of it is visible to anyone else.

Which is great for privacy. Terrible for collaboration.

My partner and I are avid travellers. I plan, he executes. Last year I sent him more AI chat links than memes trying to get us on the same page for trip planning. It was absurd.