Bambu Bar
Mac 메뉴 막대에서 Bambu Lab 프린터를 모니터링합니다
Karpathy 스타일 LLM 위키이며 전투 검증 소프트웨어와 로컬 RAG로 핵심을 강화했습니다
Kenjaku is a Karpathy-style LLM wiki, reinforced where it counts with battle-tested software (including a local RAG).
생산성JavaScript · TypeScriptGitHub @tpierrain직접 설치운영자 미확인
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README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Never miss what matters — and never drown in the rest.
🧠 Just ask. Sit down and relax. — your second brain handles the rest.
By Thomas Pierrain (VP Tech at shodo)
Kenjaku is a Karpathy-style LLM wiki, reinforced where it counts with battle-tested software.
Ask it like you'd ask a personal assistant — no dev skills required — and pull up any decision or
piece of info from your work in seconds, always with the sources. *In Claude Desktop or on the
command line, your call.*
🧠 What's a second brain? · 🚀 Install yours now · 📖 View the articlesREADME 전문 보기 ↗By Thomas Pierrain (VP Tech at shodo)
Kenjaku is a Karpathy-style LLM wiki, reinforced where it counts with battle-tested software.
Ask it like you'd ask a personal assistant — no dev skills required — and pull up any decision or piece of info from your work in seconds, always with the sources. In Claude Desktop or on the command line, your call.
🧠 What's a second brain? · 🚀 Install yours now · 📖 View the articles
🧑 "Where are we on the billing project — who owns what, and what's been decided?"
🧠 "At the January 15 team sync: the database was settled (PostgreSQL over MongoDB), and Jane Doe — platform Tech Lead — is pushing to get ahead of technical debt as early as sprint 1. → decision of January 10 · → team sync of January 15"
🧑 "What does 'MEDDIC' mean — that thing the sales team keeps repeating in their meetings?"
🧠 "MEDDIC = the opportunity-qualification method adopted by sales: Metrics, Economic buyer, Decision criteria, Decision process, Identify pain, Champion. Introduced by John Smith (VP Sales) at the sales kickoff on February 12 to make the forecast more reliable. → sales kickoff of February 12 · → sales playbook"
"Wait — you hadn't heard?" · "That was decided last week." · "You didn't see Sarah's email?" · "It's in the #product Slack thread…"
We've all been on the receiving end of that — behind, never having had the chance to catch up, to read it all, to digest it all. The faster the world moves, the more sources you plug into (Slack, mail, Drive, meeting transcripts, your own notes) and the more the signal drowns in the noise. Staying on top of it is a second full-time job — unless your memory does it for you.
The whole point, in three everyday aches it takes off your plate. No jargon — the mechanics live in the small "if you're curious:" strip on each board.
🧠 Never forget — the decision made last quarter, the message you know you saw somewhere: pulled back in seconds, always with its source. From your own notes; never invented, never off to the web.
✅ Never let anyone down — live with a customer, or juggling ten threads: know at a glance what's on you and what others owe you, and by when. A spoken "I'll take care of it" lands on the right to-do list by itself.
🌊 Never drown — back from a week off, or freshly wired into the CRM and call transcripts: instead of drowning in the flood, ask, and it filters it down to what concerns you, with the source and the date. Read-only: it reads your sources, never changes them.
Whoever you are — Head of Engineering, PM, Customer Success, sales, consultant, researcher — it keeps your thread: your teams and 1-1s, the why behind a product decision, a client's whole context.
All-audience by design — that's the whole point. It was conceived so non-tech profiles can use it: use-case-driven, nothing to manage, and no temporal coupling to track (never a "did it refresh before I asked?" — freshness, backup and recovery are all handled). If you can chat with Claude, you can use it. Just ask. Sit down and relax. (Only the one-time install is technical, and it's guided end-to-end.)
The web's stale-while-revalidate pattern, applied to your memory: you get a fast answer from what's already indexed; freshness catches up behind the scenes and only amends the answer if there's genuinely something new. (details in EN-QUOI §2)
여기까지가 README 앞부분입니다. 나머지는 원문에서 읽을 수 있습니다. README 전문 보기 ↗