Pushing the frontier of memory and continual learning for agents. Add memory to your agents today

San Francisco, CA
Joined May 2024
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Replying to @reginaldandreas
Got it. We're working on making this experience better!
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Replying to @ManishBaghelz
a tree is a graph if you think about it
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Replying to @0xDevShah
thank you!
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supermemory retweeted
supermemory does such gorgeous stuff
Introducing 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 ↓
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supermemory retweeted
we're glad we stuck with supermemory, since transitioning over, we never got a single complaint about Fae remembering stuff since! our signals for "forgetting" on @raindrop_ai dropped by 30% to single digits!
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Introducing 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
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supermemory retweeted
Introducing 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
Introducing 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 ↓
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Introducing 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 ↓
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Replying to @grindyoway @MonidHQ
noooo @MonidHQ are friends
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supermemory retweeted
this is all it takes to get a @Lovable iMessage agent in production with @supermemory @browserbase @daytonaio BYOK
we 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 🐎 💗
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supermemory retweeted
one command and persistent memory for your coding agents 🧠 𝚗𝚙𝚡 𝚜𝚞𝚙𝚎𝚛𝚖𝚎𝚖𝚘𝚛𝚢 𝚙𝚕𝚞𝚐𝚒𝚗𝚜
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one command and persistent memory for your coding agents 🧠 𝚗𝚙𝚡 𝚜𝚞𝚙𝚎𝚛𝚖𝚎𝚖𝚘𝚛𝚢 𝚙𝚕𝚞𝚐𝚒𝚗𝚜
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supermemory retweeted
i ran some numbers. Markdown memory is 40x more expensive than @supermemory let that sink in. teams never realize this because token spend is not well attributed, so it feels like the users are using the model too much, when in reality it was just your memory consolidation step
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supermemory retweeted
so... we have a foundation model in the house
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supermemory local v0.0.9 is out! - API v5 support - Better security - about 40% faster - you can use it with docker now (we heard you! The next version of local will be 10x less resource intensive)
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listen to @DhravyaShah talk about his cloudflare days, going viral on github, turning down early money, why we shut down products, ai companions and much more... ↓
Conversation 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
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