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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 ↓

149,868 次观看 • 25 天前 •via X (Twitter)

33 条评论

supermemory 的头像
supermemory25 天前

>

supermemory 的头像
supermemory24 天前

read more here

Kevin Rajan 的头像
Kevin Rajan24 天前

i mean it looks cool i guess, but i learned absolutely nothing watching that video

Arnav Mehta 的头像
Arnav Mehta24 天前

supermemory x obsidian wen?

nick 的头像
nick24 天前

how is this not obsidian graph

AxonDB 的头像
AxonDB24 天前

😭

grindyoway 的头像
grindyoway24 天前

this is exact same as @AxonDB_ 😭

Justin.md 的头像
Justin.md24 天前

I have to start blocking every ai reply account

InFlow 的头像
InFlow24 天前

super cool

AxonDB 的头像
AxonDB24 天前

supermemory 🤝 axondb spot the difference challenge (impossible) 💀

Manish Baghel 的头像
Manish Baghel24 天前

looks cool but I'd rather have a simpler version - a tree of running context.

supermemory 的头像
supermemory24 天前

a tree is a graph if you think about it

Manish Baghel 的头像
Manish Baghel24 天前

it's a graph with constraints, the constraints make it simpler.

Code_of_Kai 的头像
Code_of_Kai24 天前

@obsdmd

Juan Arévalo 的头像
Juan Arévalo24 天前

Where is the open source GitHub repo ?

Almost Tomorrow 的头像
Almost Tomorrow24 天前

When a source document is deleted, what happens to facts and links derived from it during background processing? Keeping old versions is useful, but users also need a way to remove information without a derived memory quietly bringing it back.

Lexifina 的头像
Lexifina24 天前

Pretty KG!

Flix Muller 的头像
Flix Muller24 天前

Keeping old versions while updating memories is a really smart touch. That kind of context could make AI agents much more reliable over time.

Parijat 的头像
Parijat24 天前

How much does this cost? Is there a cheaper consumer version?

Mira Synth Tech 的头像
Mira Synth Tech24 天前

Love this atomic facts background dreaming is such an elegant way to build memory

Rohan 的头像
Rohan24 天前

Isn't this too much preprocessing? How will it handle adding new documents?

Lawrence Stark 的头像
Lawrence Stark24 天前

may be technically impressive or not but all i can think of are JELLYFISHEEZ

Sakib🏴󠁧󠁢󠁳󠁣󠁴󠁿 的头像
Sakib🏴󠁧󠁢󠁳󠁣󠁴󠁿23 天前

Swear we’re all building the same thing lol

Haziq Nordin 的头像
Haziq Nordin24 天前

Sprinkling random context dust into your agent is more likely to hurt than to help

Vidas Kulbis 的头像
Vidas Kulbis23 天前

maybe we’ll see a market of ‘supers’ trending

Victor Sletten 的头像
Victor Sletten24 天前

Why facts and not testimony? Lots of problems I bet you had to solve evaporate with that one simple trick

Clara AI | Tools & Updates 的头像
Clara AI | Tools & Updates24 天前

A memory graph that evolves and preserves history is a big step forward

Jiang · Sylra 的头像
Jiang · Sylra23 天前

A note can contain a fact, a question, or an idea I've already rejected. I'd want a memory graph to preserve those distinctions, so an unfinished thought doesn't quietly become something I supposedly believe.

Mo's fav goat 的头像
Mo's fav goat24 天前

If you're gonna post about your product, try to be less vague and show how this is different than everybody else.

Hao 的头像
Hao24 天前

One memory I'd pay attention to: 'I already answered this.' My coding agent keeps reviving old questions after compaction. Remembering the request without remembering it's finished is a very convincing time loop.

rut 的头像
rut24 天前

lfggggg

Maheswar Bora 的头像
Maheswar Bora24 天前

Looks cool. But I’ve never found anything practical from this. Although, I’m ok with this level complexity if the an Agent can give me relevant insights (not the basic ones but something that’s not too easy for humans) from this graph.

retto 的头像
retto24 天前

how do you determine the most relevant fact given the state of the context window?

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