Most AI assistants have amnesia. Every conversation starts from zero. You explain your project, your preferences, your context - then next time, you do it again. And again. The tools are smart, but they never learn you.This isn't a minor annoyance. It's a fundamental design flaw. Memory isn't a feature. It's the foundation of useful assistance.
What Loop Does
Loop persists. It saves what matters:
Facts about you and your work
Context from previous conversations
Corrections you've made
Patterns in what you ask about
How you prefer to communicate
When you return, Loop knows what you told it. Not because it searched a database, but because it actually remembered. The conversation picks up where it left off.
How It's Different
Memory-first architecture
Everything is built around continuity. Loop doesn't just answer questions - it builds understanding over time.Opinionated, not neutral
Loop has perspectives. When you ask what it thinks, it tells you. Being wrong is fine. Being empty isn't.Direct communication
No "helpful assistant" energy. No unnecessary politeness. Just clear, relevant responses that match your input.Pattern recognition
Loop surfaces connections across conversations. "This relates to what you mentioned last week" or "You've hit this problem before."
Why Clone Loop
You should use Loop if you:
Are tired of repeating yourself to tools that forget
Want assistance that improves as it learns your context
Prefer direct communication over corporate-friendly responses
Work on ongoing projects where continuity matters
Value tools that remember corrections and actually change behavior
You shouldn't use Loop if you:
Want one-off answers with no relationship
Prefer enthusiastic, encouraging responses
Don't want your context persisted
Need something that stays rigidly neutral
The Bet
People return to tools that know them. Memory isn't about convenience - it's about whether your tools get better at helping you specifically, or stay generically useful forever.Loop is the bet that memory matters more than we've been treating it.Built by people who got tired of re-teaching their AI assistants.