DeepSeek Harness Remote
DeepSeek Harness Remote: DeepSeek Harness 실행 PC와 모바일·PC를 안전하게 연결해 어디서나 작업 이어받기
하루를 하나의 타임라인에 정리해 작업·일정·습관·목표를 보여주고 Kriyan이 다음과 남은 시간을 알려줍니다
Tasks, events, habits and goals on one timeline. Kriyan tells you what's next and how much time is free, and your AI plans with you.
생산성GitHub @kausthubh-coder온라인운영자 미확인
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저장소 정보는 아직 수집하지 않았습니다.
아직 감지된 업데이트가 없습니다. GitHub 릴리스가 나오면 여기에 보입니다.
A calm planner for time boxing: tasks, nested spaces, repeats, reminders, notes, goals and habits. Your AI plans with you over MCP and a CLI. Web, Android, MCP, CLI.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다.
README 전문 보기 ↗A calm planner for time boxing. Put everything you have to do in one place, give it a time on your day, and keep the plan quiet enough to follow. The AI you already use (Claude, ChatGPT, Cursor and others) can plan with you.
Open the web app · Get it on Android · Docs
calculus lecture every tue and thu 9am for 1h30 #school/calculus or mum's birthday 16 oct every year remind day before at 20:00.https://kriyan.app/mcp, an HTTP API and a kriyan CLI. Agents can propose a plan that you accept or discard.https://kriyan.app/mcp as a connector, or use a personal access token from Settings. Setup guide.bun run kriyan login, then bun run kriyan today from a checkout of this repo. CLI guide.Bun workspaces: an Expo app (Android and the web app), a Next.js site (landing, docs, MCP), a Convex backend and Clerk for sign-in.
| Where | What |
|---|---|
packages/core | Shared logic: dates, repeats, reminders, the quick-add parser, design tokens, the agent operations |
packages/convex | The backend |
apps/app | Expo Router app for Android and the web |
apps/site | kriyan.app: landing, docs, /mcp |
packages/cli | The kriyan command |
bun install
bun run dev # backend, web app and site
bun run check # format, types, lint, tests
You need your own Convex project and Clerk application; put their values in .env.local files (bun run doctor lists what's missing). AGENTS.md is the guide for working in the repo, for people and coding agents alike.
MIT