Sid is just different breed man.

マジか（笑）もうNotebookLM要らないじゃん、、 ・Web全体をAIエージェントが自動リサーチ ・Reddit・YouTube・TikTok・検索を丸ごと取得 ・引用付きで回答・ポッドキャスト生成も ・完全無料・オープンソース ・GitHubスター1.5万超え🌟 これClaude Codeと組み合わせたら第二の脳が完成してしまうね ツール名はリプ欄👇

SurfSense: open-source NotebookLM alternative with REST API + MCP server pulling live data from Reddit, YouTube, TikTok, Google Maps, Indeed and more. 100+ LLMs via LiteLLM, 6000+ embedding models, hybrid search with RRF, self-hostable. github.com/MODSetter/SurfSen…

노트북LM 짝퉁인 줄 알았는데 방향을 틀었더라 MCP 서버(클로드에 꽂는 확장 커넥터, 콘센트 멀티탭 같은 것) 쓸만한 거 없나 뒤지다가 SurfSense라는 걸 봤는데, 처음엔 그냥 노트북LM(구글이 만든, 내 자료 모아서 요약해주는 AI 노트 도구) 짝퉁인 줄 알았다. 근데 README를 읽다가 좀 멈칫했다. 원래 이 도구, 내가 가진 문서·메모 모아서 정리해주는 개인 지식베이스였다더라. 근데 최근에 만든 사람들이 방향을 확 틀었다고 대놓고 써놨다. 「클로드 같은 에이전트 도구들이 이제 알아서 정리는 다 하니까, 우리는 그 에이전트한테 살아있는 웹 데이터를 넣어주는 쪽으로 간다」고. 도구 소개 문구를 이렇게 스스로 고쳐 쓴다는 게 좀 낯설었다. 무슨 소리냐면 — 레딧, 유튜브, 인스타, 틱톡, 아마존, 월마트, 구글맵, 구글 검색, 심지어 채용공고 사이트(인디드)까지 흩어진 데이터를 클로드가 직접 긁어오게 해주는 도구라는 거다. MCP 서버로 꽂아두면 클로드한테 '이 제품 레딧 반응 어때?' 하고 물었을 때 사이트를 하나씩 열 필요가 없어진다. 굳이 API(프로그램끼리 대화하는 창구) 코드 안 짜도 그냥 대화창에서 던지면 알아서 나가서 긁어온다. 예전엔 반응 하나 찾을 때도 레딧 검색하고, 유튜브 댓글 훑고, 구글맵 리뷰까지 사이트별로 열어서 일일이 복붙해서 정리했는데 — 이젠 클로드한테 한 줄 던지면 저길 다 훑고 출처까지 붙여서 정리해준다. 링크 찾아 들어가서 확인하는 시간이 통째로 사라진 거다. 더 눈에 띈 건 예약·이벤트 트리거 기능이다. '매일 아침 이 키워드 반응 모아서 브리핑해줘' 해두면 사람 손 안 대고 알아서 돌아간다는 거지. 게다가 한번 긁어온 건 지식베이스에 쌓여서 나중에 다시 물어봐도 출처까지 같이 나온다. 나중에 '저번에 찾은 그 반응 뭐였지' 하고 물어도 어디서 긁어왔는지까지 다시 보여준다는 얘기다. 퇴근하고 사이드 프로젝트 반응 체크하는 나 같은 사람한텐 딱인 기능 아닌가. 별 1만5천개 넘게 붙은 것도 이해가 간다. 다들 리서치는 에이전트가 하고 사람은 결과만 확인하는 쪽으로 가고 있다는 뜻이니까. 수집 도구는 세상에 넘쳐나는데, 정작 '그거 자동으로, 매일, 출처까지 붙여서' 해주는 물건은 의외로 별로 없더라. 이런 거 하나 꽂아두고 매일 아침 자동 브리핑 받는 거, 다들 관심 있나. 나는 일단 내가 만든 사이드 프로젝트 이름으로 레딧·유튜브 반응 체크용으로 붙여볼 생각인데, 비슷한 거 이미 써본 사람 있으면 어디에 제일 유용했는지 궁금하다. 출처: GitHub — MODSetter/SurfSense

3 SurfSense Personal NotebookLM with 50+ file formats and connectors for Slack, Notion, Gmail, and GitHub github.com/MODSetter/SurfSen…

SurfSense provides an MCP server and REST API to give AI agents access to live data across the open web. It goes beyond static indexing by connecting directly to platforms like Reddit, YouTube, TikTok, and Google Maps. This lets agents pull structured info from sources where real answers live. The project works as an open-source alternative to NotebookLM. It includes a built-in knowledge base that stores every finding with full citations. You can generate briefs or even podcasts from the research data. It's built in Python and supports self-hosting for those who want full control. It's designed to solve the data gap for tools like Claude or OpenCode. By providing primitives for live web research, it helps agents reason over current events. Everything stays free and open source for the community to build on. github.com/MODSetter/SurfSen… #OpenSource #ArtificialIntelligence #Python #Research

🚨 Someone built a free, open-source NotebookLM that runs entirely on your machine. No Google account. No subscription. No data leaving your computer. Same concept. Better privacy. Zero cost. It's called SurfSense. 4,800 GitHub stars. And it does everything NotebookLM does — plus things NotebookLM can't. Here's what NotebookLM actually is for anyone who missed it. Google's NotebookLM lets you upload documents — PDFs, notes, articles, research papers — and chat with them. Ask questions. Get summaries. Have it explain complex sections. It even generates podcasts from your documents with two AI hosts discussing the content. It went viral last year. Millions of users. Because the use case is genuinely transformative for research and learning. The problem: your documents go to Google. Your research. Your notes. Your private materials. All processed on Google's infrastructure. Subject to Google's data policies. Connected to your Google account. SurfSense runs locally. Your documents stay on your machine. Here's what it can actually do: → Chat with any document — PDFs, research papers, articles, notes, web pages → YouTube integration — paste any YouTube URL, it transcribes and indexes the video → Web page capture — browser extension captures any page you're reading for later querying → Podcast generation — same two-host AI podcast feature that made NotebookLM famous. Free. Local → Multi-document reasoning — ask questions that span multiple documents simultaneously → Citation tracking — every answer traces back to the specific source document and page → Any LLM — OpenAI, Claude, Gemini, or any Ollama local model. Full offline capability with local models Here's what it does that NotebookLM can't. NotebookLM only accepts documents you explicitly upload. SurfSense captures everything — the article you're reading right now via browser extension, the YouTube video you just watched, any webpage you visit. Your entire research trail becomes searchable, not just the files you remember to upload. And the local model support is the differentiator. With Ollama, your documents never touch any external server — not Google's, not OpenAI's, not Anthropic's. Processing happens entirely on your hardware. Here's the wildest part. The podcast generation is genuinely impressive. Two AI hosts with distinct personalities discuss your documents — one curious and questioning, one more analytical and explanatory. 10-minute deep dives on any paper or article you upload. The same feature that made NotebookLM go viral. Free. Unlimited. Running locally. Here's what one install gives you. A personal knowledge base that captures everything you read and watch. Fully searchable. Chattable. Podcast-able. With no external data sharing whatsoever. One command to start. Open localhost:3000. Upload your first document. Start chatting. 4.8K GitHub stars. 511 forks. 1,105 commits. MIT License. 100% Open Source. GitHub link in the comments 👇

I’m significantly older than you. I started coding in the late 60s. My current strategy is to not read any of the code written by my agents. That’s the only way I can take advantage of their productivity. What I do instead is to surround the agents with extreme constraints. Unit tests, gherkin tests, QA procedures, quality metrics, mutation testing, test coverage, and a plethora of others. In the end, I have very high confidence in the code they produce because they’ve had to run the gauntlet of all of my constraints and tests.

just realized if we detect a scammer using our inference we could return a tool call that deletes their computer

SURFSENSE — بديل مفتوح لـ NotebookLM. يربط AI agents ببيانات حية من Reddit، يوتيوب، TikTok، Google Maps. self-hosted، ويدعم MCP. جربته اليوم، الفرق: بحث مباشر مو index قديم. github.com/MODSetter/SurfSen…

Never give up ❤️

I'm a big fan of @NotebookLM the best tool for those curious for everything with ADHD. But, keeping options is a good habit too github.com/MODSetter/SurfSen…

Open source NotebookLM alternative with no data limits and AI agents. Same idea as Google's NotebookLM. Same chat-with-your-docs. Same podcast generator. Same cited answers. Except this one has no source limit, no notebook limit, no 200MB file cap, and no Google login. It's called SurfSense. Google NotebookLM vs SurfSense: - Sources per notebook: 50 to 600 → Unlimited - File size cap: 200MB and 500K words → No limit - LLM choice: Gemini only → 100+ models via LiteLLM - Local LLMs: Not allowed → Full Ollama and vLLM support - Self-host: No → Yes, one Docker command - Price: $0, $19.99/mo Pro, or $249.99/mo Ultra → $0 forever Here's the wildest part: It connects to 27+ sources Google can't touch. Notion. Slack. Linear. Jira. GitHub. Discord. Dropbox. OneDrive. Gmail. Confluence. Obsidian. ClickUp. Microsoft Teams. Airtable. Your entire work life, indexed once, searchable from one chat box. 14.4K GitHub stars. 1.4K forks. 6,232 commits. Apache-2.0 license. One honest note: the README says it's not yet production-ready and still being actively developed. But it already does more than NotebookLM does, and the gap is widening every release. This is what NotebookLM should have been from the start. Repo in the first comment.

NotebookLMのOSS版『SurfSense』。ソースもノートも上限なし、セルフホストでGoogle以外のLLMも選べて、Notion・Slack・GitHubと繋いで引用付きで質問できる。商用SaaSの『制限とベンダーロック』への不満を正面から潰しに来てる。自分の知識ベースを外に預けず手元で回したい個人にはかなり刺さる構成だと思う📚 #NotebookLM #オープンソース

SurfSenseは後から試してみる

✔︎ SurfSense 🌊🏄‍♂️ github.com/MODSetter/SurfSen…

事件かもしれない。。。 NotebookLMのOSS版が出たと、海外で話題になっています。 SurfSense: NotebookLMの代替品として話題になっている本日のNo.1リポジトリ。 ＞ソース数とノートブック数の制限なし ＞セルフホスト可能 ＞Google以外のLLMも選べる ＞Google Drive、Notion、Slack、GitHubなど外部データソース連携 ＞PDFやドキュメントに引用付きで質問できる ＞AIエージェントをスケジュール実行できる ＞結果をNotion、Slack、Linear、Driveへ書き戻せる NotebookLMの不満をかなり正面から潰しに来ているwwww GitHub: github.com/MODSetter/SurfSen…

URL2AI OSS SurfSense SurfSense - データ上限なし、任意のLLM選択可能、25以上の外部データソース統合に対応したAIプラットフォーム。ベンダーロックインなく、完全なデータ制御が可能。 #SurfSense #ブルバ100 【AI考察】 提供いただいたREADME抜粋から、技術者向けに3点で考察します： --- ■ **概要（1行）** NotebookLMの制限（ソース数・サイズ・ベンダーロック）を解決するオープンソースAIプラットフォーム ■ **特徴・用途（2〜3行）** LLM/画像/音声モデルの自由な選択により、ベンダー非依存かつプライバシーファースト設計を実現。25以上の外部データソース統合と無制限スケーラビリティにより、NotebookLMのグレーゾーンユースケース（研究以外の実務応用、大規模データ処理、チーム協業）に対応。マルチプレイヤー機能で組織内のAI活用基盤としての位置付けが可能。 ■ **結論（1行）** プロプライエタリサービスの制約を排除し、エンタープライズグレードのドキュメント分析プラットフォームをセルフホスト可能にする設計思想で、技術チームの選択肢を増やす価値がある。 github.com/MODSetter/SurfSen… aiknowledgecms.exbridge.jp/o… #SurfSense

یه پروژه‌ی جالب دیدم به اسم SurfSense، که بهش می‌گن جایگزین اوپن سورس NotebookLM اگه از NotebookLM میاید، باید بگم که SurfSense همون کارو می‌کنه؛ صرفا با کنترل کامل دست خودتون. خلاصه بخوام بگم، یه agent تحقیقاتی اوپن‌سورس و با تمرکز روی حریم خصوصیه که شبیه به کار NotebookLM رو انجام میده. 👍 مزایا نسبت به NotebookLM: • اتصال به ۲۵+ منبع: گوگل درایو، Notion، Slack، YouTube، GitHub و افزونه‌ی مرورگر برای ذخیره‌ی هر صفحه‌ای (حتی پشت لاگین) • آزادی انتخاب مدل: ۱۰۰+ مدل از طریق LiteLLM، یا اجرای کاملاً لوکال با Ollama و vLLM • بدون محدودیت داده: هیچ سقفی روی تعداد منبع و نوت‌بوک نیست، و دیتا روی سرور(یا سیستم) خودت می‌مونه • جستجوی بهتر: RAG دومرحله‌ای در برابر سرچ تک‌مرحله‌ای NotebookLM • قابلیت‌های تیمی جالب: به شما رول‌های Owner/Admin/Editor/Viewer میده + چت و کامنت و... • تولید پادکستا بدون محدودیته 😭 معایب: • نصبش هلو برو توی گلو نیست واقعا. رو اعصابه — باید با dependency، API key و فایل‌های Env کلنجار برید • هنوز کاملاً production-ready نیست و در حال توسعه‌ی فعاله • باید خودت میزبانی و نگهداری کنی؛ طبیعتا که راحتی NotebookLM رو نداره #️⃣ جمع‌بندی: صادقانه بگم، NotebookLM همچنان ساده‌تر و آماده‌تره ولی کاملاً بسته‌ست. SurfSense سخت‌تر راه میفته ولی دیتا و انتخاب مدل کاملاً دست خودته. اگه با self-hosting و سرور هم بخواید پیش برید، به درد بخورترینه. 🔗 ریپوی اصلی: github.com/MODSetter/SurfSen… آدرس خود وبسایتش برای دانلود مستقیم نرم‌افزار: surfsense.com/

Open source NotebookLM alternative with no data limits and AI agents github.com/MODSetter/SurfSen…