RememberLLM

Finally, AI that remembers.

Remembers what matters. Forgets on command.

Built for people who want continuity without losing control. Keep long-term context for projects, preferences, and personal workflows, or switch into quick-answer mode when you just want a clean response.

Request beta access See it in action

Persistent memory with clear controls
Quick answers mode for disposable chats
Calm interface designed for long sessions

Memory-aware chat workspace

Memory mode

You

Pick up the onboarding plan where we left it last week.

Loaded project notes, hiring preferences, and team milestones.

Continuing from your last planning thread: design review on Tuesday, founder outreach on Thursday, and the beta checklist still needs analytics events.

Memory mode

Quick answers

What makes it different

The product is designed around trust, not just recall.

Memory when continuity matters

Ongoing projects, personal preferences, and recurring details stay available so the assistant feels useful over time instead of stateless.

Quick answers when it should stay disposable

Not every chat should become part of a long-term profile. Switch modes and keep one-off prompts lightweight, private, and fast.

Calm, focused workspace

The interface borrows the same glassy surfaces, soft gradients, and restrained motion as the app itself so the product feels cohesive from first impression to daily use.

Real scenarios

Context that holds, months later.

RememberLLM recalls details from your past conversations exactly when you need them — campaigns you ran last year, health data you logged six months ago — without you having to re-explain a thing.

Memory active

Referencing Q2 2024 campaign — 14 months ago

You

I'm starting the Q2 2025 summer brief. I want to beat last year — what did we learn and what should we do differently?

Memory recalled

Loaded: Q2 2024 Summer Launch brief, post-campaign retro (Aug 2024), audience debrief, creative performance notes, and your budget notes from the Q3 planning session.

RememberLLM

Last year's campaign had a strong start — "Catch the Light" hit 4.2M impressions and your email open rate was 38%, well above benchmark. But your August retro flagged three things worth fixing:

1. The landing page CTA was too vague. You wrote "should have been benefit-led, not action-led." Try leading with the outcome this time.
2. Reels underdelivered. CPM was 2× higher than Feed but conversions were half. You noted the creative felt too polished — needed to feel more organic.
3. You wanted to test a younger segment (21–28) after noticing organic engagement skewed younger than your paid target.

Want me to draft a brief that addresses all three — sharper CTA, native Reels angle, and a split audience test?

Memory active

Referencing logs from October 2025 — 6 months ago

You

How has my weight been trending since I started tracking in October? And what were my eating habits like when I made the most progress?

Memory recalled

Loaded: 6 months of food logs, weekly weigh-ins, meal notes, and your personal goal set on Oct 3 (target: 168 lbs by spring).

RememberLLM

You started at 184 lbs in October. You dropped to 179 lbs in November after cutting late-night snacking, then crept back up slightly over the holidays. Since January you've held a steady downward trend — you're currently at 173 lbs.

Your best stretch was the two weeks in November where you logged high-protein breakfasts and kept dinner before 7 pm. Those weeks averaged a 1.4 lb drop each. Want me to pull that week's meal log as a template to start from?

Who it's for

Built for people who think in long arcs.

Founders

Keep investor context, hiring decisions, and product bets connected across months of conversations — without re-briefing the AI every session.

Researchers

Build on prior notes, paper summaries, and hypothesis threads without losing the thread. Your literature review doesn't start over every chat.

Marketers

Reference last quarter's campaigns, audience segments, and creative learnings the moment you open a new brief. Context that compounds.

Power users

For anyone who lives in AI chat all day — your preferences, shortcuts, and ongoing projects stay loaded so the assistant already knows you.

Beta access

Join the first wave of RememberLLM users.

We're looking for founders, operators, students, and heavy AI users who want a more useful memory layer than generic chat history.

Early access to the product
Direct feedback channel with the builder
Priority for memory and workflow experiments