Portable AI memory
Portable AI Memory

SnowBall

Your Portable AI Memory Layer

Sync knowledge from any AI tool. Inject context into any other. Build a growing project brain that never forgets.

Stop re-explaining your projects. Stop copy-pasting conversations. SnowBall accumulates your AI work across platforms and turns it into structured, reusable intelligence.

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Compatible tools
  • ChatGPT logo
  • Gemini logo
  • Claude logo
  • Perplexity logo
  • Notion AI logo
  • Cursor logo
  • Kimi logo
  • Figma AI logo

Built for cross-AI memory, AI conversation management, and context management for AI teams who need reusable knowledge, not another siloed transcript archive.

12k+

conversations organized into reusable project memory

3 min

to connect capture, retrieval, and context injection

98%

less repeated context-setting in AI-heavy workflows

“Most AI tools treat the conversation as the product. SnowBall treats the conversation as source material and the knowledge as the asset.”

Stop starting from zero. Let your AI work compound.
Category

AI project memory, not another place to dump chats

SnowBall gives founders, operators, consultants, and research-heavy teams a portable AI memory layer so prior work becomes reusable context instead of invisible history.

Not a note-taking app

SnowBall is built for AI-assisted execution. It keeps source conversations connected to reusable project knowledge instead of expecting manual note hygiene.

Not a generic memory plugin

SnowBall creates versioned project memory with structure, traceability, and reuse across workflows, not just snippets stored in a sidecar.

Not a chat archive

The point is not to save more transcripts. The point is to turn chats into decisions, requirements, risks, assumptions, and reusable context.

Workflow continuity

Preserve the parts of AI work that matter

SnowBall is designed for teams that live in AI tools but still need durable continuity around decisions, requirements, risks, assumptions, research, and next steps.

Reduce repeated context-setting across AI tools
Preserve decisions, requirements, risks, and assumptions
Maintain cross-AI continuity between models and teammates
Build reusable, versioned project knowledge over time
Who SnowBall is for

Built for serious AI users, not casual chat hoarding

Founders and operators

Keep product, GTM, hiring, research, and strategic work aligned across ChatGPT, Claude, Cursor, and your next model.

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Consultants and strategists

Preserve client context, working assumptions, and recommendations so every engagement compounds instead of resetting.

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Product and research teams

Turn scattered AI conversations into a shared source of truth for requirements, risks, insights, and decision history.

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Agencies and analysts

Carry reusable context between accounts, briefs, deliverables, and tools without rebuilding every prompt from scratch.

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Benefits

Why SnowBall

A sharper memory layer, less repeated prompting, and cleaner continuity across AI workflows.

01

No More Context Loss

Every AI conversation becomes structured project knowledge instead of forgotten source material.

02

Cross-AI Continuity

Work in ChatGPT today. Bring the right context into Claude, Gemini, Cursor, or Perplexity tomorrow.

03

Compounding Intelligence

Each sync strengthens a reusable, versioned project brain instead of creating another dead-end thread.

04

Less Repeated Prompting

Stop rewriting the same requirements, risks, assumptions, and prior decisions every time you switch tools.

05

Structured Project Memory

SnowBall clusters, tags, deduplicates, and versions knowledge so teams can reuse it confidently.

Features

Infrastructure for structured AI knowledge

Built to preserve AI work continuity without adding operational drag.

1
AI

Universal Sync Engine

Capture conversations from browser-based AI tools and route them into the right project memory.

2
CLUSTER

Smart Clustering

Group related ideas, decisions, entities, and requirements into structured AI knowledge.

3

Semantic Indexing

Search across prior AI work like a knowledge base instead of digging through chat history.

4
KNOW
Inject

Context Injection

Compress relevant project knowledge into clean context for the next model, prompt, or workflow step.

5
Project A
Versioned

Project-Based Memory

Keep memory isolated by project so your knowledge stays reusable, versioned, and traceable.

6

Secure and Private

Project knowledge stays encrypted, separated, and designed for serious AI-assisted work.

Process

How SnowBall works

A clear workflow for making AI output cumulative instead of disposable.

01

Sync

Capture conversations from ChatGPT, Claude, Gemini, Perplexity, Cursor, Notion AI, and other browser-based tools.

AI
02

Structure

SnowBall extracts decisions, requirements, risks, assumptions, insights, and supporting facts into reusable knowledge.

MAP
03

Inject

Bring the right project context into your next prompt or tool without starting from zero.

KB
Inject
04

Compound

Each new sync improves work continuity across teams, models, and future project iterations.

Pricing

Pricing that matches how serious AI work scales

Choose a plan based on how much AI workflow memory, context reuse, and team continuity you need, then use the contact section if your rollout needs something custom.

Free

$0
/month

For individuals validating an AI project memory workflow.

Get Started
  • 1 project
  • 10 syncs / month
  • Basic clustering
  • Standard context injection
  • Community support

Pro

Popular
$19
/month

For serious AI users who need reusable, versioned project knowledge.

Upgrade to Pro
  • Unlimited projects
  • Unlimited syncs
  • Advanced clustering
  • Smart context compression
  • Priority processing
  • Version history

Team

$49
/month

For AI-native teams who need shared project memory and clear workflow continuity.

Start Team Plan
  • Shared project memory
  • Role-based access
  • Collaboration layer
  • Admin dashboard
  • API access
  • Priority support
FAQ

Common questions about AI project memory

These are the core questions we hear from teams evaluating integrations, security, pricing, and fit for cross-AI memory workflows.

What is SnowBall, exactly?

SnowBall is an AI-native project intelligence platform and portable AI memory layer. It turns conversations into structured, reusable, versioned project knowledge.

How is SnowBall different from note-taking tools?

Note-taking tools expect manual capture. SnowBall treats AI conversations as source material, then structures the resulting knowledge so it can be reused across future work.

How is SnowBall different from a chat history saver?

Saving chat transcripts is table stakes. SnowBall extracts decisions, requirements, risks, assumptions, and knowledge objects so prior conversations become operational assets.

Who is SnowBall built for?

SnowBall is built for founders, operators, consultants, strategists, product teams, research teams, agencies, analysts, and other AI-heavy professionals who want work continuity.

What AI platforms does SnowBall support?

SnowBall works with browser-based AI tools including ChatGPT, Claude, Gemini, Perplexity, Notion AI, Cursor, Kimi, Figma AI, and similar workflows.

What does context injection mean in SnowBall?

SnowBall compacts the most relevant project knowledge into a usable context block so your next model starts with decisions, constraints, risks, and prior work already in frame.

Contact

Talk to SnowBall about your AI workflow

Have questions, need team rollout help, or want to discuss a high-volume AI project memory workflow? We would love to hear from you.

Universal AI memory for builders and teams

Sync from ChatGPT, Gemini, Claude, Perplexity, Notion AI, Cursor, and more. Keep the knowledge that matters and bring it forward instantly.

Email info@mysnowball.tech