Managing conversations across multiple AI platforms is inefficient by design.

You may build deep context inside ChatGPT, only to switch to Claude for analysis or Gemini for multimodal work. The moment you switch, context and memory is lost. You are introduced to the issue of fragmented memory.

This is not a usability issue. It's an issue that cannot be solved by that AI vendor, and only possible through third party tools.

Context Pack solves this by introducing Portable AI Memory.

The Problem: AI Resets Constantly

Modern AI systems are powerful, but are only efficient with set context limits.

Some Problems:

Memory is isolated to a single Platform
Context limits like Chat GPT's 32k token limits memory
Chats become unusable when they exceed chat limits or image uploads

This creates several systemic problems:

Lost Context: Switching tools means starting from zero
Vendor Lock-In: Your history keeps you tied to one platform
Inefficiency: Re-explaining context wastes time and tokens
Fragmentation: AI behaves inconsistently across workflows
Unusable Exports: Chat histories are dumped into massive, unstructured JSON files
No Source of Truth: Businesses cannot reliably personalize AI across teams or users

As a result, AI is fragmented, forgetful, and unreliable as a long-term assistant.

What Can Change

You should have access to your chats, documents, and preferences.

The memories and information you share with AI should not only be yours, but also portable, editable, and under your control.

The Solution: Portable AI Memory

Context Pack creates Portable AI Memory.

It converts conversations, documents, and preferences into structured, reusable context that moves with you across AI models and workflows.

Instead of starting from scratch, your AI starts with context.

What Context Pack Enables

Carry work, research, and preferences across AI platforms
Reuse context without re-uploading or re-explaining
Read and manage extremely large chat export files
Maintain consistent AI behavior across sessions
Personalize AI reliably, even at scale

Your AI no longer starts from zero.

Real-World Use Cases

For Developers

Maintain technical context across AI coding tools:

I am building a Next.js 14 application.
The backend uses Supabase.
Tailwind handles styling.
Here is the current architecture and what we have implemented so far.

Reuse this context across debugging, refactoring, and planning sessions without restating it.

For Researchers

Preserve research continuity:

Import papers and notes
Carry literature reviews across models
Compare outputs from different AIs using the same source context

Context stays consistent while perspectives vary.

For Content Creators

Maintain creative continuity:

Store character bios and worldbuilding details
Preserve tone, voice, and narrative rules
Move projects between AI platforms without drift

Security and Control

Context Pack is built with privacy as a baseline:

End-to-end encryption
No AI training on user data
Full user control over deletion and persistence

Your memory belongs to you.

Why Portable AI Memory Matters

AI tools will continue to multiply.

You're also going to keep feeding AI information.

Without portable memory, users remain trapped in fragmented workflows where context constantly decays. Portable AI Memory is the foundation for AI systems that behave consistently over time.

Context Pack delivers that foundation.

Getting Started

Create an account at context-pack.com
Upload a conversation export or document
Generate your context pack
Import it into any AI and continue your work

Portable AI Memory. A new way to carry AI context, identity, and history across tools, time, and platforms.

Ready to create your first Context Pack? Get started →