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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