DeepSeek Harness Remote
DeepSeek Harness Remote: DeepSeek Harness 실행 PC와 모바일·PC를 안전하게 연결해 어디서나 작업 이어받기
아직 감지된 업데이트가 없습니다. GitHub 릴리스가 나오면 여기에 보입니다.
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기메이커가 쓴 소개는 위의 한 줄이 전부입니다. 더 자세한 내용은 저장소 README에서 읽을 수 있습니다. 저장소 README ↗
README 전체를 불러오는 중입니다.
README 전문 보기 ↗Your job-hunt butler.
Track every application you have in flight, and turn each one into work you can actually do — a calibrated fit score, a prep plan, and the questions the loop will ask.
Documentation · Quick start · Providers · Full demo ↓
| Track | Nine stages, drag and drop, and a timeline recording every move, note and email. Paste a posting and Alfred extracts the fields. |
| Analyze | A fit score calibrated like a hiring manager, with skill-by-skill coverage, the gaps worth closing, and a positioning angle. |
| Prepare | Coding problems, concepts, system-design prompts and behavioural stories chosen for that role — each with a reason. |
| Rehearse | The questions this loop will probably ask, with answers drafted in your own voice for you to rewrite. |
| Ingest | Optional read-only IMAP sync that classifies recruiter mail and matches it to your pipeline. |
It runs locally against SQLite. Nothing leaves your machine except the calls you configure to an AI provider.
git clone https://github.com/Unchained-Labs/alfred.git
cd alfred && npm install && npm run dev
Open http://localhost:3000. The database is created and migrated on first render — there is no setup step. Requires Node 22+.
Want to see it populated first? npm run seed loads a demo pipeline
(destructive — it replaces existing data).
Then, in Settings: paste your résumé, pick a provider, and add an application.
One interface, four implementations — switching is a dropdown and nothing else changes.
| Provider | Notes |
|---|---|
| Claude | Anthropic API — structured outputs, adaptive thinking, configurable effort |
| Local Claude Code | The claude CLI already on your machine. No API key, uses your existing sign-in |
| LLM endpoint | Any OpenAI-compatible server: Ollama, vLLM, LM Studio, OpenRouter |
| Custom agent | Your own agent over HTTP, given a documented task envelope |
A local endpoint or the local CLI keeps your résumé, the job descriptions and your mail entirely on your machine.
The loop above is the short version. The full 60-second walkthrough plays on the documentation site, which also has a clip for each section — the board, fit analysis, prep plans and questionnaires, the mailbox and providers.
Or download the MP4 (1440×900, 4.8 MB).
| Install · Quick start | Getting running |
| Tracking · Analysis · Prep · Mailbox | Using it |
| Providers · Agent API · Architecture · Security | Reference |
Issues and pull requests welcome — see CONTRIBUTING.md. Run
make check before pushing.
A note on secrets. API keys and your mailbox password are stored in plaintext in
data/alfred.db(gitignored). That's a deliberate trade for a single-user local tool, and it means the file is as sensitive as what's in it. SetANTHROPIC_API_KEY,ALFRED_LLM_API_KEYorALFRED_AGENT_API_KEYin the environment to avoid storing them at all — the environment wins. Security model →
MIT © 2026 Erwin Lejeune and contributors