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supermemory

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

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one command and persistent memory for your coding agents 🧠 𝚗𝚙𝚡 𝚜𝚞𝚙𝚎𝚛𝚖𝚎𝚖𝚘𝚛𝚢 𝚙𝚕𝚞𝚐𝚒𝚗𝚜

one command and persistent memory for your coding agents 🧠 𝚗𝚙𝚡 𝚜𝚞𝚙𝚎𝚛𝚖𝚎𝚖𝚘𝚛𝚢 𝚙𝚕𝚞𝚐𝚒𝚗𝚜

34,041 次观看

You can break down every memory implementation into two axes - time: what changed, and when - connections: what links to what supermemory's graph keeps both on atomic facts, the latest fact wins, the old one stays as history, and you never draw an edge

You can break down every memory implementation into two axes - time: what changed, and when - connections: what links to what supermemory's graph keeps both on atomic facts, the latest fact wins, the old one stays as history, and you never draw an edge

10,316 次观看

Your agents are interchangeable but your context shouldn't be. supermemory is the persistent context layer across all your agents Swap the model and keep the memory!

Your agents are interchangeable but your context shouldn't be. supermemory is the persistent context layer across all your agents Swap the model and keep the memory!

22,200 次观看

supermemory graph is now an embeddable react component you can customize & hack it to your own app designs too :)

supermemory graph is now an embeddable react component you can customize & hack it to your own app designs too :)

93,832 次观看

Usual memory systems learn the moment data flows in, then never look at it again. supermemory 𝚍𝚛𝚎𝚊𝚖𝚜. Status done means the chunks are indexed. Memories come from a second phase, where related documents are grouped so memories form from coherent units, never one isolated write. When you go quiet, or enough new context has piled up, supermemory enters a dream cycle on its own. During a dream it: - merges fragments that belong together - reweights old facts against everything since - resolves contradictions - derives facts you never stated in one place, each traceable to its sources The output is new memories, a graph of derivations between them, and a picture of the user that updates as the evidence changes. If you use supermemory in any way, this already works. Dream away.

Usual memory systems learn the moment data flows in, then never look at it again. supermemory 𝚍𝚛𝚎𝚊𝚖𝚜. Status done means the chunks are indexed. Memories come from a second phase, where related documents are grouped so memories form from coherent units, never one isolated write. When you go quiet, or enough new context has piled up, supermemory enters a dream cycle on its own. During a dream it: - merges fragments that belong together - reweights old facts against everything since - resolves contradictions - derives facts you never stated in one place, each traceable to its sources The output is new memories, a graph of derivations between them, and a picture of the user that updates as the evidence changes. If you use supermemory in any way, this already works. Dream away.

11,021 次观看

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Agents need continual learning. At supermemory, we are doubling down and pushing the frontier for memory and in-context learning, for every agent and use case. Introducing 𝚕𝚎𝚊𝚛𝚗𝚎𝚛-𝟷

Agents need continual learning. At supermemory, we are doubling down and pushing the frontier for memory and in-context learning, for every agent and use case. Introducing 𝚕𝚎𝚊𝚛𝚗𝚎𝚛-𝟷

1,867,791 次观看 • 1 个月前

Introducing the supermemory company brain A super employee with all the knowledge of your company, lives in your slack. - Learns how the team works and talks - Works across all your tools - Permission controls built-in for big teams 2 mins to set up. just invite to slack 👇

Introducing the supermemory company brain A super employee with all the knowledge of your company, lives in your slack. - Learns how the team works and talks - Works across all your tools - Permission controls built-in for big teams 2 mins to set up. just invite to slack 👇

621,682 次观看 • 2 个月前

Introducing the new supermemory console. Revamped design, better UX, new functionalities!

Introducing the new supermemory console. Revamped design, better UX, new functionalities!

46,963 次观看 • 1 个月前

Introducing API v5, the agent-first memory API - container tags are now namespaces, and they live in the url - output from the API is now optimized for agent context - one prompt to migrate - Markdown negotiation in API results

Introducing API v5, the agent-first memory API - container tags are now namespaces, and they live in the url - output from the API is now optimized for agent context - one prompt to migrate - Markdown negotiation in API results

19,757 次观看 • 18 天前

supermemory makes agent context into one API. everything built in 𝚗𝚙𝚖 𝚒 𝚜𝚞𝚙𝚎𝚛𝚖𝚎𝚖𝚘𝚛𝚢 memory, filesystems, retrieval, profile, connectors and data extraction. ask your agent to use supermemory :)

11,304 次观看 • 13 天前

You can break down every memory implementation into two axes - time: what changed, and when - connections: what links to what supermemory's graph keeps both on atomic facts, the latest fact wins, the old one stays as history, and you never draw an edge

You can break down every memory implementation into two axes - time: what changed, and when - connections: what links to what supermemory's graph keeps both on atomic facts, the latest fact wins, the old one stays as history, and you never draw an edge

10,316 次观看 • 14 天前

Introducing the supermemory CLI. MCP isn't dead - but CLIs can be more powerful. So we built the most advanced CLI for agents. EVERY single thing you can do on the supermemory platform can be done by Agents. just prompt them. They are first class users. > npx supermemory

Introducing the supermemory CLI. MCP isn't dead - but CLIs can be more powerful. So we built the most advanced CLI for agents. EVERY single thing you can do on the supermemory platform can be done by Agents. just prompt them. They are first class users. > npx supermemory

96,291 次观看 • 7 个月前

Usual memory systems learn the moment data flows in, then never look at it again. supermemory 𝚍𝚛𝚎𝚊𝚖𝚜. Status done means the chunks are indexed. Memories come from a second phase, where related documents are grouped so memories form from coherent units, never one isolated write. When you go quiet, or enough new context has piled up, supermemory enters a dream cycle on its own. During a dream it: - merges fragments that belong together - reweights old facts against everything since - resolves contradictions - derives facts you never stated in one place, each traceable to its sources The output is new memories, a graph of derivations between them, and a picture of the user that updates as the evidence changes. If you use supermemory in any way, this already works. Dream away.

Usual memory systems learn the moment data flows in, then never look at it again. supermemory 𝚍𝚛𝚎𝚊𝚖𝚜. Status done means the chunks are indexed. Memories come from a second phase, where related documents are grouped so memories form from coherent units, never one isolated write. When you go quiet, or enough new context has piled up, supermemory enters a dream cycle on its own. During a dream it: - merges fragments that belong together - reweights old facts against everything since - resolves contradictions - derives facts you never stated in one place, each traceable to its sources The output is new memories, a graph of derivations between them, and a picture of the user that updates as the evidence changes. If you use supermemory in any way, this already works. Dream away.

11,021 次观看 • 29 天前

Everyone wants AI with a bigger memory, we think that's the wrong goal.. We sat down with Soham Daga, AI researcher at supermemory, for a deep dive into how machines actually remember you. what we get into: - why every AI forgets you - why forgetting is the hard part, not remembering - memory that understands time - going past reranking with aggregation - buckets for agent memory - SMFS, cutting tokens by 60% A conversation on the future of context, full episode below!

Everyone wants AI with a bigger memory, we think that's the wrong goal.. We sat down with Soham Daga, AI researcher at supermemory, for a deep dive into how machines actually remember you. what we get into: - why every AI forgets you - why forgetting is the hard part, not remembering - memory that understands time - going past reranking with aggregation - buckets for agent memory - SMFS, cutting tokens by 60% A conversation on the future of context, full episode below!

20,600 次观看 • 2 个月前

Episode 1 of memory 101: the anatomy of memory.🧠 real memory isn't one thing. it's five: > facts > profiles > relationships > temporality > forgetting "AI memory" products build one of these primitives and stop. Real memory is when all five compose. Next, stay tuned for RAG ↓

Episode 1 of memory 101: the anatomy of memory.🧠 real memory isn't one thing. it's five: > facts > profiles > relationships > temporality > forgetting "AI memory" products build one of these primitives and stop. Real memory is when all five compose. Next, stay tuned for RAG ↓

23,164 次观看 • 3 个月前

Meet the minds building supermemory! 🧠 Our research engineer Prasanna breaks down how memory actually works, in your head, and in AI. inside the episode: → why forgetting is a feature and not a failure → what your hippocampus inside brain is really doing all day → how "dreaming" turns a messy day into long-term memory → what the AI labs get right, and wrong, when they copy the brain → why a bigger context window still isn't memory the line worth sitting with: stop asking where memory is stored. start asking what gets kept, and why the brain chose it. full episode below ↓

Meet the minds building supermemory! 🧠 Our research engineer Prasanna breaks down how memory actually works, in your head, and in AI. inside the episode: → why forgetting is a feature and not a failure → what your hippocampus inside brain is really doing all day → how "dreaming" turns a messy day into long-term memory → what the AI labs get right, and wrong, when they copy the brain → why a bigger context window still isn't memory the line worth sitting with: stop asking where memory is stored. start asking what gets kept, and why the brain chose it. full episode below ↓

14,752 次观看 • 3 个月前

Introducing Memory 101 🧠 Every ai tool you use is a goldfish. brilliant for one chat, close the tab and it forgets you completely. memory is the most underbuilt layer in ai right now. so we're explaining how it actually works, one episode at a time. coming up: → rag vs memory, why most "ai memory" is just search → the 5 things real memory needs: facts, profiles, graphs, time, forgetting → why good memory has to forget things follow along!

Introducing Memory 101 🧠 Every ai tool you use is a goldfish. brilliant for one chat, close the tab and it forgets you completely. memory is the most underbuilt layer in ai right now. so we're explaining how it actually works, one episode at a time. coming up: → rag vs memory, why most "ai memory" is just search → the 5 things real memory needs: facts, profiles, graphs, time, forgetting → why good memory has to forget things follow along!

17,235 次观看 • 4 个月前

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