143.7 MB→15.3 kBthe TIFF at esawebb.org → what an agent reads
live · space
Webb’s Cosmic Cliffs, strip by strip
- read header
- hash×97
- root
- point
emem:tree:wkxa7tcmw2orf7ujjf5yi66dhe
Hash a file. Read a place. Sign it. Hand it on.
left: what writes signed memory · middle: one name, signed, logged · right: what reads and checks it
emem:fact:…
log head …
measured by this tab just now, from the responder’s own endpoints
…
live · read and checked in your tab
143.7 MB→15.3 kBthe TIFF at esawebb.org → what an agent reads
live · space
emem:tree:wkxa7tcmw2orf7ujjf5yi66dhe
502.5 MB→3.2 kBthe episode on Hugging Face → what an agent reads
live · robotics
emem:tree:qcoylkllqzfqnsinn4af5i2mi4
15 rasters→120 Bsigned Sentinel-2 rasters → one token
live · earth
emem:rasterset:sml5syqegico2sobfkxjp2o2twwepdwve7753ubkoa5n27y22rba:zu5p3u4r5n5uinu2ghwzjo2272ztjvnnf7cnlt7hiqwxo4cq3hhq
548.1 MB→19.7 kBGPT-2 weights on Hugging Face → what an agent reads
live · model weights
emem:tree:amii4tnpkfoofsyzrbbs2vxsj4
30.54 GB→2.4 kBthe whole-Earth terrain map → what an agent reads
live · maps
emem:tree:ppdqanaf7ufpxedvwdrwuqhf5u
3.2 MB→139 Bthe splat file → the signed field it grew from
live · 3d
emem:raster:m7kktwsz3pluzxj3lqd2oz6r3tvjg7u52ooda42rx2mb4dvr7ctq:copdem30m.elevation:0:jbeyfmrxxhjozo2gmribunxgzypyxop3wgcpk7yfpazm37xaa7ma
12 clips→6.2 kB12 camera clips → what an agent reads
live · cameras
note t7ebh6s6imxrwdmizebnw52nwe
1.05 GB→4.8 kB41 years of a climate model → what an agent reads
live · climate
emem:tree:o2iyw5aexedv7sneir7sgng4fm
39.2 kB→1.3 kBthe DICOM file → what an agent reads
live · medical
emem:tree:elk3oajsbjlws4ad4up7ha7rey
~182k tok→20.8 kB178 files of express → the index an agent reads
live · code
note 5otn33skohjocfbhychddlovme
161.7 kB→1.7 kBthe photo → what an agent reads
live · photo
emem:tree:rcv34ptfbsoynlzs6yjxtchpwe
1 reading→~72 Ba signed elevation → its token
live · fact
emem:fact:defi.zb521.jawI.gOze:…
~28.5 MB→11.5 kBa 3D microscope image at EMBL-EBI → what an agent reads
live · microscopy
emem:tree:54t6krywa6eeklzpapklpuhqau
81.1 MB→2.2 kB10.6 million points on S3 → what an agent reads
live · lidar
emem:tree:jjyznjvil64vzygbs6mxceszbu
~9.5k tok→1.4 kBa 15-page paper → the index an agent reads
live · research
note 5k4rsdbh3oe3zudjanr42mh6wy
2.0 MB→6.0 kBthe TIFF at esahubble.org → what an agent reads
live · planets
emem:tree:fi67bt4rxkic3ssuag2v2hskly
1 scanned page→468 Ba sample invoice scan → the text an agent reads
live · documents
note g6u3kpc4varj6epnzcbxkqmpyi
144 squares→38 Bsigned NDVI squares → one bundle token
live · grid
reading the grid…
13,870 events→63 Ba machine’s kernel trace → one token
live · device
emem:trace:mxyer5c2oxn4ud3xqbtnaxcxhdv4kkxiu67q32inbwxgpa7r3s6a
this page, tokenised live in your tab
claude mcp add --transport http emem https://emem.dev/mcpcurl -s https://emem.dev/mcp -H 'content-type: application/json' -H 'accept: application/json, text/event-stream' -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"emem_locate","arguments":{"place":"Lusail"}}}'
pip install ememdevfrom ememdev import Client
with Client() as em:
cell = em.locate("Mount Fuji")["cell64"]
facts = em.recall(cell, bands=["copdem30m.elevation_mean"])
print(facts["facts"][0]["value"])
npm i @vortxai/ememdocker run -p 5051:5051 ghcr.io/vortx-ai/emem:latesthttp://127.0.0.1:5051/mcpghcr.io/vortx-ai/emem-airgap