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Slim Mederos local dataserver / mesh hub (no torch)

Project description

mederos-node (pip)

Slim local dataserver + mesh hub for Mederos. No torch / transformers. Requires Python ≥ 3.10.

pip install mederos-node
mederos-node init    # probes hardware, optional deps, then runs
mederos-node doctor  # print tier + saved ~/.mederos/profile.json
mederos-node run     # or just: mederos-node

Hardware-aware setup

init / doctor / --probe run hardware_probe, which classifies the machine as low | medium | high (CPU, RAM, free memory, GPU) and:

Tier Dependencies Runtime knobs
low Skip optional zeroconf MESH_WORKER=0, RELAY_WORKER=0, fewer HTTP connections, no bar persist, no mDNS
medium Keep zeroconf Mesh hub off; relay on; bar persist + discovery
high Offer uvloop (Linux) + zeroconf Mesh hub eligible; higher HTTP concurrency

Profile is written to ~/.mederos/profile.json (shared with the npm channel). Override anytime with mederos-node doctor then edit env, or mederos-node run --probe.

Extras: pip install 'mederos-node[high]' after a high-tier probe.

Pairs with the desktop app (native installer or npx @mederos/desktop). Default bind: 127.0.0.1:8532.

Maintainers — build / upload

Run from kalshi-ai-advisor/python (not from inside .pip-stage):

cd C:\Users\epiki\Documents\Development\kalshai\kalshi-ai-advisor\python
node ..\..\mobile\scripts\stage-pip-package.mjs
cd .pip-stage
python -m build
python -m twine upload dist/*

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