DeepSeek Harness Remote
DeepSeek Harness Remote: DeepSeek Harness 실행 PC와 모바일·PC를 안전하게 연결해 어디서나 작업 이어받기
저장소 정보는 아직 수집하지 않았습니다.
아직 감지된 업데이트가 없습니다. GitHub 릴리스가 나오면 여기에 보입니다.
Bell AI an AI based voice assistant that places automated calls to remind them take medicines on time, attend medical appointments, and complete other essential tasks .Voice AI provides natural conversations, that will enable elderly people to respond to reminders, question and confirm completion of tasks with ease.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다.
README 전문 보기 ↗Bell AI is an AI-based voice assistant that helps elderly people live independently. It places automated calls to remind them to take medicines on time, attend medical appointments, and complete other essential tasks. Voice AI keeps the conversation natural, so they can respond to reminders, ask questions and confirm tasks are done.
A quick look at BellAI: setting up a reminder, a real call, and what the family sees afterwards.
Team: Ayush (caregiver UI, scheduler, retries) · Devesh (voice agent and outbound calls) · Utkarsh (webhooks, outcomes, caregiver alerts, elder and call-log API)
Stack: FastAPI (Python) · Next.js (TypeScript) · Bolna voice AI · APScheduler · SQLite
Read AGENTS.md for ownership, branching and conventions before contributing.
BellAI/
├── AGENTS.md # roles, branch rules, conventions (read first)
├── docs/architecture.md # system flow + API contract
├── agent/ # Bolna voice-agent prompt + config notes
├── backend/ # FastAPI app
│ ├── app/
│ │ ├── main.py # app factory, router registration, scheduler start
│ │ ├── config.py # env settings
│ │ ├── db.py # engine + session
│ │ ├── models.py # DB tables (shared contract)
│ │ ├── schemas.py # API request/response models (shared contract)
│ │ ├── routers/ # auth, profiles, tasks, calls, webhooks
│ │ └── services/ # bolna client, scheduler, outcome logic, notifications
│ └── tests/
└── frontend/ # Next.js caregiver web app
└── src/
├── app/ # pages: dashboard, add elder, add task
└── lib/ # api client + shared types
cd backend
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env # BOLNA_MOCK=true by default — no real calls
uvicorn app.main:app --reload
API docs: http://localhost:8000/docs
cd frontend
npm install
cp .env.example .env.local
npm run dev
/docs).calling.curl -X POST localhost:8000/api/webhook/call-outcome \
-H 'Content-Type: application/json' \
-d '{"id": "<bolna_call_id from /api/calls>", "status": "completed",
"extracted_data": {"outcome": "completed"}}'
cd backend && pytest