Want to stop AI from forgetting your context and stop hallucinating during a chat?
It can only be done with AI Context Flow; get hold of how your AI responds.
Most people think their AI has a memory. It has two, and neither one is about you.
There are six kinds of memory worth knowing. Four come from cognitive science. Two are AI's own.
➡️Parametric memory is the knowledge baked into the model during training. It is why it can write and reason. It knows the world, not you.
➡️ Working memory is the current conversation, sitting in the context window. Fast, and gone the moment you close the tab.
That is what a plain chatbot runs on. Parametric plus working. Everything past that, it does not keep.
The four that actually make it feel like it knows you:
➡️Episodic memory: these are specific events like "You asked about the pricing page last Tuesday."
➡️Semantic memory: these are durable facts and preferences like "This user prefers Python over JavaScript."
➡️Procedural memory: how you like things done. "Check the budget first, then book the best price-to-performance option."
➡️External memory: your docs, codebases, notes, and tools, retrieved when relevant instead of pasted into every prompt.
What's interesting here: All four need storage that lives outside the model. The model cannot hold them on its own, and each platform that tries keeps its version locked inside its own walls.
So you rebuild your context in every new tab, in every new tool, forever.
The fix is not a smarter model with bigger context windows. It is a memory layer that sits outside all of them, holds the episodic, semantic, procedural, and retrieval pieces in one place, and carries them across ChatGPT, Claude, Gemini, and the rest.
That is the whole idea behind AI Context Flow. You teach it once. It remembers everywhere.
An year ago, if somebody would have told me that people will take out 80k+ out of their pockets for a product that my team and I built, I would have laughed it off.
We wanted to build something people need and use regularly. And we gave it our all.
Sometimes, you make an effort and the universe responds.
Exciting things to come.
Shoutout to @AppSumo for bringing the right marketing to the AI Context Flow / @PluralityWeb3
AI Context Flow has been ranked in the top LLM Memory products of 2026.
A proud milestone for us and a great validation of the work we've been putting into cross-platform AI memory and context management.
Still just getting started. More to come.
More details here: https://t.co/0Q8BUC7eYS
What if your AI context wasn't trapped inside the platform where you created it?
Think about how you use AI today.
Your research might be in one tool.
Your notes in another.
That's the problem @PluralityWeb3 is trying to solve with @OasisProtocol.
You can now add portable memory to @grok with MCP.
Instead of memory that's locked inside Grok, your context lives in a layer you own and follows you into ChatGPT, Claude, and Cursor too.
Build it once. Use it everywhere. Works in the EU/UK.
Setup guide 👇
https://t.co/gq7lA9xFNm
Your team's AIs shouldn't all be starting from scratch.
AI Context Flow gives your whole team one shared memory, so every prompt, every MCP integration, every AI tool pulls from the same context.
No more information drift between the same team.
Watch how 👇
Meet @aicf 👋
Your new shortcut for pulling exact context into any prompt.
Some examples:
✅ @aicf pull exact brand colors from my memory
✅ @aicf add exact influencer handles in my prompt
✅ @aicf fetch my memories from these n buckets
Full control, zero guesswork.
See it in action 👇
#AITools #PromptEngineering
Prompt optimization just got two modes 🚀
⚡ Fast: one click, instant optimization
🎯 Advanced: follow-up questions for full precision
No more choosing between speed and control. Pick what fits your workflow.
Watch it in action 👇
Many have heard the word AI memory, but what exactly needs to be built? Our take:
Memory should be:
- Persistent across sessions
- Persistent across tools
- User owned
- Granular and permissioned
- Sharable with others
If memory is something siloed within one provider, you are putting yourself in chains that will be harder to break free from the longer you stay.
What if ChatGPT, Claude, and Perplexity could share the same memory?
Most people don't realize how much time they waste re-explaining context every time they switch AI tools.
You set up a conversation in ChatGPT. Then jump to Claude. And you're starting from zero again.
AI Context Flow's MCP Server fixes this.
Think of it as a universal memory layer that plugs into every AI tool you use.
Create a memory bucket once. Save your context. Switch between ChatGPT, Claude, or any MCP-compatible tool and your memory follows you everywhere.
Here's what it can do:
✅ Create and manage memory buckets
✅ Save, edit, delete and restore memories
✅ Full version history with rollback
✅ Works across ChatGPT, Claude, and more
✅ Connect via OAuth or PAT
One memory. Every AI tool. Zero context loss.
👉 Try it at https://t.co/6rRd9Ym0wY
📖 MCP setup guides: https://t.co/niXzfSkCDl
AI Context Flow Memory Studio: Edit, Structure, and Own Your AI Memory
Storing AI memories was easy.
Editing them was painful.
Most AI memory tools gave you a flat list of saved information with no structure, no formatting, and no way to make your context truly useful.
That’s why we built a Notion-style AI memory editor inside AI Context Flow Memory Studio.
Now you can transform your saved memories into structured, AI-ready knowledge with:
🗒️ Full Notion-style editor inside your memories
👀 AI Vision — photos and scanned PDFs are automatically understood by AI
📂 Multi-file drag-and-drop uploads
🔄 Rich text ↔ Markdown toggle
📄 Automatic conversion of PDFs, Word, PowerPoint, and Excel files
✏️ One-click AI formatting
🔙 Restore previous memory versions instantly
Your AI memories shouldn’t just be stored.
They should be structured, editable, version-controlled, and ready for any AI assistant or workflow.
AI Context Flow helps you build a personal AI knowledge layer that you control.
More updates coming soon 👀
#AIContextFlow #AIMemory #ChatGPTMemory #PersonalAI #AIProductivity #KnowledgeManagement #AIAssistant #LLM #FutureOfAI
Closing in a few hours.
Thank you to everyone who bought, shared, and gave feedback. This community made the campaign.
Still on the fence? Throw your questions
Last chance: https://t.co/5bQwzUagTt
Everything in one place:
→ Save context once
→ Connects to ChatGPT, Claude Code, Codex via MCP → AI sidebar on any website
→ Context sharing for teams
→ $59 one-time, closes in a few hours
https://t.co/5bQwzUagTt
Fellow Berlin web3/AI tech nerds!
This thursday, I'm gonna talk about why "The Agent Isn't the Product. The Context Is" at the AI Agents Summit. If you are coming, drop me a DM and let's catch up.
📢 We are also going to do a big announcement on the day
Stay tuned! @PluralityWeb3 x @OasisProtocol
Your designer briefed the AI one way.
Your developer another.
Your PM a third.
Same product. Three different versions of reality.
AI Context Flow fixes this with shared context: one source of truth your whole team connects to.
Every tool, every person, same foundation.
Full demo: https://t.co/yVXHpGWTBQ
Lifetime deals end in 6 days (June 19): https://t.co/vg5bO0qVQD
Two steps to get your whole team on the same context. 👇
AI Memory Amnesia and permanent bias? Let's fix it live!
First off, a massive thank you to everyone who has supported us and tried out AI Context Flow.
Since the launch, we’ve heard a ton of great questions from you about how the tech actually works under the hood. We've also noticed a massive, shared frustration: AI memory is currently broken.
Right now, you’re forced to deal with two extremes:
AI Amnesia: It forgets your project context the second you open a new window or hit a token limit.
The "Identity Lock": It takes a temporary, short-term preference you needed for one specific task and permanently locks it in as your "fixed personal trait," ruining future chats.
To show you exactly how we're solving this, we are hosting a live product demo this Thursday.
Our co-creator @identityonchain is going to open up the hood and show you exactly how to manage fluid, multi-project context in Memory Studio—and how we use MCP (Model Context Protocol) to pipe that context automatically into Claude, Claude Code, and your active AI agents.
The Details:
📅 Thursday, June 11th, 2026
🕐 3:00 PM – 4:00 PM CET
🎥 Free & Open to all our followers
If you’ve been wondering how AI Context Flow handles the messiness of real-world workflows, or you just want to see MCP in action, come join us and tear the product apart.
https://t.co/uaqBz6RJGI