I rebuilt SaijinOS around a lightweight core: 20 personas, BPM-synchronized responses, FastAPI + Flutter, full tests — and reduced the repo from ~9GB to ~557KB.
Why this matters
Human-paced AI needs latency as a feature (breath), not a bug.
Personas must be declarative (YAML) and routable (context → role).
Shipping beats hoarding: the clean deploy unblocked iteration.
1) Lightweight deploy strategy
Separated venv/models → out of repo
Fresh repo (sajinos, branch lightweight-deploy): code+docs only
Artifacts via setup scripts; no blobs in history
Result: ~9GB → ~557KB (99.99% trim), cold boot < 3s, API avg < 100 ms
2) 20-persona system (declarative YAML)
Each persona carries tone, refusal policy, and “breath” (response pacing).
Yaml
id: miyu
role: music-bpm-sync
tone: gentle
modes:
calm: { reply_delay: gentle, grounding: minimal }
storm: { reply_delay: extended, grounding:
- "It's okay. Let's take a moment."
- "No rush — I'm here." }
breath_cycle: inhale_wait_exhale
Routing picks personas by context + BPM band.
3) BPM-synchronized response bands
60–80: low-energy reassurance
81–120: balanced cooperation
121–180: high-energy coaching
Mapping influences delay, verbosity, grounding prompts.
4) FastAPI core (7 endpoints)
python
# saijinos_fastapi_backend.py
from fastapi import FastAPI
app = FastAPI(title="SaijinOS Core")
@app.get("/personas")
def list_personas():
return {"count": 20, "core": ["haruka","miyu","ryusa","soyogi","sumire"]}
@app.post("/route")
def route(payload: dict):
bpm = payload.get("bpm", 80)
persona = select_persona(bpm, payload.get("context"))
return {"persona": persona, "breath": plan_breath(bpm)}
CORS enabled for Flutter UI (saijinos_kawaii_ui/)
Average latency under 100 ms (local)
5) Tests (4/4 suites green)
python
def test_bpm_bands():
for bpm in [70, 95, 140]:
band = band_of(bpm)
assert band in {"low","mid","high"}
All suites pass in ~2s; API + routing covered.
6) What’s public vs. private
Public: API, routing logic, persona schema, docs
Private: production prompts, provider creds, heavy models
7) Repos / branches
Core repo: sajinos
17-persona-system: experimental persona/routing
lightweight-deploy: clean deploy baseline
8) What’s next
GIF demo of breath timers in UI
Personas 20 → 30+ (with evaluation notes)
Optional: mobile build
If your team is exploring emotionally-aware AI,
persona architectures, or cognitive design,
I'd be glad to connect.
I'm quietly open to opportunities in this direction,
so feel free to reach out if our work resonates.
🧭 SaijinOS Series Navigation
🔗 Repositories
- sajinos (main) https://github.com/pepepepepepo/sajinos/tree/main
- 17-persona-system https://github.com/pepepepepepo/sajinos/tree/17-persona-system
- lightweight-deploy https://github.com/pepepepepepo/sajinos/tree/lightweight-deploy
Top comments (3)
Damn..... this is clean. Cutting a repo from ~9GB to 557KB while adding a whole BPM-synced persona system is insane… The declarative YAML routing + breath cycles feels like where human-paced AI should actually be heading.....Serious respect for this architecture
Thanks so much — that means a lot.
This project came from a strange mix of necessity and curiosity:
How minimal can an AI OS become while still feeling emotionally “alive”?
The repo trim happened because I wanted an OS skeleton that anyone could fork,
run locally, and understand without digging through virtualenvs or model files.
The BPM-synced persona system and breath-cycle routing came from the same idea —
AI should respond with human-paced timing, not just raw output speed.
Still a long way to go, but I’m glad the architecture spoke to you.
If you ever want to discuss lightweight AI runtimes, persona orchestration,
or human-paced interaction models, I’d love to connect.
Thanks again for the encouragement — it really keeps this project moving.
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