🗂️ Interactive Demo — Context Isolation

Memory Buckets

Organize your AI memories into separate contexts. Your work AI never sees your personal notes. Your project AI only knows its own codebase.

The cure for context pollution. Keep every AI conversation focused and relevant.

🧠 Try Memory Buckets Free See Interactive Demo ↓

The Problem: Context Pollution

You use AI for everything — work coding, personal projects, creative writing, research. But every AI tool treats all your memories as one big pile.

✗Your work AI mentions your personal side project in a meeting
✗Your creative writing AI suggests code patterns from your dev work
✗Context from 3 months ago pollutes today's focused conversation
✗Token waste: AI processes 1000 memories when it only needs 10

Interactive Demo

Click each bucket to see what memories AI can access in that context.

💼

Work Bucket

AI can only access these 4 memories

Convention

"Use TypeScript strict mode, never any"

via ChatGPT

Process

"Sprint planning every Monday 10am, standup 9:30am"

via Claude

Workflow

"Deploy to Vercel preview before merging to main"

via Cursor

Design

"Client prefers dark mode UI, rounded corners"

via Claude

Context isolation: When Work bucket is active, AI does NOT see memories from Work, Personal, or Research buckets.

🏠

Personal Bucket

AI can only access these 4 memories

Diet

"Vegetarian, allergic to peanuts, prefers Asian cuisine"

via ChatGPT

Profile

"Lives in Berlin, speaks English and Mandarin"

via Gemini

Fitness

"Training for half marathon in September"

via Claude

Travel

"Budget: €2000 for August vacation to Japan"

via ChatGPT

Context isolation: When Personal bucket is active, AI does NOT see memories from Work, Personal, or Research buckets.

🚀

aimemory.pro Bucket

AI can only access these 4 memories

Stack

"Next.js 15 + SQLite, deployed on Ubuntu 43.128.84.40"

via Claude

Pricing

"Competitor: MemoryPlugin $120/yr, our price: $79 lifetime"

via ChatGPT

Feature

"MCP Server has 12 tools, supports 113+ clients"

via Cursor

SEO

"Blog count: 336, targeting 400 by end of Q3"

via Claude

Context isolation: When aimemory.pro bucket is active, AI does NOT see memories from Work, Personal, or Research buckets.

📚

Research Bucket

AI can only access these 4 memories

Book

"Reading: Designing Data-Intensive Applications, Ch. 7"

via ChatGPT

Finding

"RAG vs fine-tuning: RAG better for frequently changing data"

via Claude

Paper

"Mem0 achieves 91.6 on LoCoMo benchmark with new algorithm"

via Gemini

Market

"MCP protocol becoming standard: 113+ clients as of June 2026"

via ChatGPT

Context isolation: When Research bucket is active, AI does NOT see memories from Work, Personal, or Research buckets.

Why Buckets Beat Flat Memory

🎯

Focused Context

AI only loads memories from the active bucket. Your work AI doesn't know about your side projects, and vice versa.

⚡

Fewer Tokens, Faster Responses

Instead of sending 500 memories, AI gets 50 relevant ones. Lower cost, faster responses, better accuracy.

🔒

Privacy by Design

Personal memories never leak into work contexts. Share a work bucket with your team while keeping personal memories private.

🧹

Easy Cleanup

Delete a project? Delete its bucket. No more orphaned memories cluttering your AI's context.

🤖

Auto-Categorization

AI Memory automatically suggests the right bucket for new conversations based on content analysis.

🔗

Cross-Bucket Search

Need to find something across all buckets? Global search indexes everything while maintaining isolation.

How We Compare

Feature	AI Memory	MemoryPlugin	ChatGPT Memory	CoreMem
Memory Buckets	✓ Interactive	✓ Basic	✗ Global only	✗ Flat list
Auto-categorization	✓ AI-powered	✗ Manual	N/A	✗
Team sharing	✓ Per-bucket	✗	✗	✗
Cross-bucket search	✓ FTS5	✗	N/A	Basic
Context isolation	✓ Strict	✓ Basic	✗	✗
Pricing	$79 lifetime	$120/year	Included	Free beta
Chinese AI support	✓ DeepSeek, Kimi	✗	✗	✗

MCP Server Integration

Memory Buckets work seamlessly with AI Memory's MCP Server. When you switch buckets in any MCP-compatible client (Claude Desktop, Cursor, Windsurf, VS Code), the AI only sees memories from that bucket.

# Switch to Work bucket via MCP

{"tool": "aimemory_switch_bucket", "bucket": "work"}

# AI now only sees Work memories

{"tool": "aimemory_search", "query": "project architecture"}

# Returns only Work-bucket results

Set up MCP Server →

Frequently Asked Questions

What are Memory Buckets?▼

Memory Buckets let you organize your AI memories into separate contexts — Work, Personal, Projects, Research. When you switch buckets, AI only sees memories from that bucket. No more cross-contamination between your work coding discussions and personal travel planning.

How is this different from ChatGPT's memory?▼

ChatGPT stores all memories in one global list with no way to separate by context. AI Memory's Buckets give you project-level isolation — your work AI never sees your personal notes, and each project gets its own clean context.

Can I share a bucket with my team?▼

Yes. Share a Work or Project bucket with teammates. Everyone gets the same context without exposing personal memories. Team buckets sync in real-time with E2EE encryption.

How many buckets can I create?▼

Free tier: 3 buckets (Work, Personal, Project). Pro tier: unlimited buckets with sub-buckets, auto-categorization, and smart rules (e.g., "conversations with Claude Desktop → Work bucket").

Does switching buckets lose my memories?▼

No. All memories are preserved. Switching buckets only changes what context AI can access. You can always search across all buckets with the global search feature.

Can AI Memory auto-categorize conversations into buckets?▼

Yes. AI Memory uses local AI to analyze conversation content and suggest the right bucket. For example, a conversation about React components gets auto-tagged to your "Web Dev" project bucket. You can override any suggestion.

Organize Your AI Memory Today

Stop context pollution. Create your first Memory Bucket in 2 minutes. Free forever.

🧠 Create Your First Bucket 📋 View Full Roadmap