@supermemory
Pushing the frontier of memory and continual learning for agents. Add memory to your agents today
supermemory @supermemoryIntroducing the supermemory memory graph every document becomes atomic facts, and dreaming keeps building the graph in the background - extracting facts - linking related memories - resolving updates, the old version stays as history get one for yourself in the console ↓
Dhravya Shah @DhravyaShahIntroducing supermemory's graph engine yes. I did a graph. and yes, im against graphs. guess what It's built ground-up from first principles (its not a real graph) ALL you need for memory is: - Keeping track of changing knowledge - Forgetfulness on specific information - Connections between information We boiled the entire logic down into a single data structure. it can be represented as a filesystem, facts system, pages, or anything your agent / setup needs This also allows us to magically find and inject tokens into the model harness without the model having to come looking for that information. Because memory should be magical and super intelligence needs @supermemory
supermemory @supermemoryIntroducing the supermemory memory graph every document becomes atomic facts, and dreaming keeps building the graph in the background - extracting facts - linking related memories - resolving updates, the old version stays as history get one for yourself in the console ↓
Nizzy @nizzyabiwe put lovable in iMessage. text an idea. build the app. ship it. send another message when you want to change something. you can now build and launch software from the same place you text your friends. introducing @onkeiki for lovable 🐎 💗
Omar Waseem @omarwasmConversation with @DhravyaShah, Founder of SuperMemory 00:00 Cloudflare Culture & Working Under CTO 01:36 Autonomy, Writing Culture & Product Flywheel 02:45 Product Life Cycle: Idea to Launch 04:28 Demo Days & Engineering Writing Culture 06:32 Origins of Supermemory 08:00 Acquiring the Domain 08:59 Going Viral on GitHub & VC Interest 10:03 Turning Down Early Investment Deals 13:38 Early Investors & Susa Ventures 17:08 Shifting from Product to Infrastructure 18:49 The Market Street Epiphany & Shutting Down Products 22:04 Focusing on AI Memory & Continuous Learning 24:47 Inbound Go-to-Market Strategy 27:28 Testing Memory via AI Companions 28:11 AI Companion Dynamics & Psychosis Risks 30:31 Embracing Iteration Velocity 31:31 Lessons from Company Brain 33:25 Defining Good Memory Systems 34:32 Rethinking Memory Retrieval & Injection 36:45 Supermemory Architecture & Local Models 39:00 Memory for Continual Improvement 41:33 Agent-to-Agent Security Risks 43:32 Public Identity & Personal Growth 46:12 Productivity Philosophy
