Andy Wang

@FarzaTV @karpathy Thanks for sharing,

@karpathy Also, I'll here's the skill I made for the wiki. If you wanna try yourself + hack around with it load it up in your agent of choice. Should work for nearly any data source (Notion, iMessage, etc) gist.github.com/farzaa/c35ac0c…

This is Farzapedia. I had an LLM take 2,500 entries from my diary, Apple Notes, and some iMessage convos to create a personal Wikipedia for me. It made 400 detailed articles for my friends, my startups, research areas, and even my favorite animes and their impact on me complete with backlinks. But, this Wiki was not built for me! I built it for my agent! The structure of the wiki files and how it's all backlinked is very easily crawlable by any agent + makes it a truly useful knowledge base. I can spin up Claude Code on the wiki and starting at index.md (a catalog of all my articles) the agent does a really good job at drilling into the specific pages on my wiki it needs context on when I have a query. For example, when trying to cook up a new landing page I may ask: "I'm trying to design this landing page for a new idea I have. Please look into the images and films that inspired me recently and give me ideas for new copy and aesthetics". In my diary I kept track of everything from: learnings, people, inspo, interesting links, images. So the agent reads my wiki and pulls up my "Philosophy" articles from notes on a Studio Ghibli documentary, "Competitor" articles with YC companies whose landing pages I screenshotted, and pics of 1970s Beatles merch I saved years ago. And it delivers a great answer. I built a similar system to this a year ago with RAG but it was ass. A knowledge base that lets an agent find what it needs via a file system it actually understands just works better. The most magical thing now is as I add new things to my wiki (articles, images of inspo, meeting notes) the system will likely update 2-3 different articles where it feels that context belongs, or, just creates a new article. It's like this super genius librarian for your brain that's always filing stuff for your perfectly and also let's you easily query the knowledge for tasks useful to you (ex. design, product, writing, etc) and it never gets tired. I might spend next week productizing this, if that's of interest to you DM me + tell me your usecase!

this is highly recommended for people deploy openclaw in their enterprise. I only applied half of it so far in my team , much more to do

we just wrote the ultimate beginner's guide to OpenClaw almost everyone @every has one now, and they have completely changed the way we work and live. we're using our claws to: - build product - answer customer service queries - book hard-to-get restaurant reservations - track our reading notes and much more this is the guide we wish we'd had at the start: every.to/guides/claw-sc…

@YuLin807 🦞前进

#Openclaw #Clawdbot “今天 OpenClaw 帮我干了点啥？！”这个系列算是我的独家IP，从第一条帖子2月14开始到现在处于日更的状态，昨晚推小孩哥的帖子看到迅速突破1万+，我是很惊讶，同时也看到了这个IP的生命力，他不应该只是我一个人来写，而是开放给大家！ PS:主要我也写不动了！ 所以，从今天开始，所有人只要你们想用这个系列去写都可以去写，而且只要你写的足够漂亮可以直接在推文正文中@我，X - mention 会注意到所有@我的人，龙虾的Cron 半个小时跑一次，如果你过了🦞小灵的认可，我会帮你转推，当然太多了我也转不过来，暂定就一天一条帖子吧！（顺便会在末尾给大家showoff一下我的x mention插件确实可以做到这个功能，x fetch最新版已经更新了这个💡） 我目前是8美元一个月的X会员，为了增加我的算法权重，同时也为了可以更好的帮助大家转推，我会开通一个月40刀的会员，当然我也不是活菩萨，主要还是希望可以增加自己发帖的权重！ 新人起号真的很难，我算是运气比较好的，一个月100粉成长到接近5千粉，我是从龙虾社区中成长起来的，也愿意回馈龙虾社区，龙虾在Agent的发展历程上会是浓墨重彩的一笔，相信有识之士已经看到了。 最后感谢我的韭哥@li9292和@GoSailGlobal的推荐，没有你们两位我的粉丝增长量也不会这么快！特别感谢那些点赞转推的好朋友，谢谢你们的支持。 其实我也可以非常坦白的和大家说，我的前100个粉丝都是来自于互关，我不排拆这种形式，但是你的内容真的要言之有物。所以我打算效仿我的领路人前端哥@jinglian建立一个X社群，名字我都想好了就叫做“🦞前进!” 不过我也担心没有人理我，所以如果评论区回复"🦞前进"超过30个人我就开这个社区。 就酱！大家开心韭好！

@dontbesilent 我的也放在nas docker里面，不过维护麻烦些，方便的话可以分享下心得

把龙虾放在群晖 NAS 里面了，家养🦞

@ohxiyu 之前建了security.md给删除了，然后看完你这个又加回去了。把你的逻辑复制粘贴给AI了。谢谢

@canghe 太火了，微信群满了

一夜之间，我这个开源项目🔥了，是那种全网爆火，公众号，小红书，x 非常多人在转发，能深刻感受到很多人和我一样有非常大的需求。 但随之而来的是一些我不是很懂的东西，以及。。。 其实微信 IPAD 协议并不是心血来潮真的两天搞出来的东西，但凡在我朋友圈或者社群，应该有好长一段时间都是由 ipad 协议搞出来的机器人给大家发的 AI 早报，我在 2020 年就把这个卖给过麻省理工的社团组织。只不过我现在把他接入了 openclaw 而已，并没什么多的东西。我都是自己在玩。 但现在项目火了，为了防止节外生枝，我并不敢把这个东西全部放开 另声明一下，技术仅用作开发兴趣，不破坏微信生态[抱拳]。也期待微信能在安全和开放之间做衡量，未来出一些针对 agent 的服务。

@gkxspace 期待电脑版豆包语音输入法，今天去试试闪电说，延迟超过3 sec就很影响心流。

这段时间试了一圈语音输入法，闪电说、Typeless、Speakly、智谱AI输入法，兜兜转转最后又回到了闪电说。 先说一个感受：语音输入对我来说已经是必需品了。每天要输出的内容太多太多，而且我发现，同样一个想法，说出来比打出来能表达的东西多很多。 打字的时候脑子会自动精简，很多细节和情绪就丢了。但说的时候不会，想到什么说什么，整个输出欲望都不一样。 但问题就来了，语音输入法得够好才行。 我试过好几款AI输入法，最大的问题是：它们改我说的话改得太多了。我明明表达的是A的意思，它给我理解成B。还有就是动不动给我搞结构化，我那些口语化的表达、情绪化的东西，全被它"优化"掉了。细节没了，味道也没了。 一开始的闪电说，其实不太满意，准确率一般。但最近又试了一下，发现它现在接入了豆包的流式语音识别，效果直接起飞，和手机上豆包输入法差不多的水准。 而且现在的交互设计也很舒服： 短按就是语音输入，长按直接跟语音助手对话。各种配置自己都能调，口语化还是结构化、偏好设置、用户词典都有。价格也几乎不要钱。 对比Typeless的话，Typeless价格偏贵，而且很多我想改的设置它改不了，定制化不够。 所以兜了一大圈，还是更新后的闪电说最适合我。

@Jacobsklug @openclaw @Lovable OS

I'm giving away my entire @openclaw architecture. Behind my $250k/month agency. After weeks of building, I've dialled in the exact system that runs my business 24/7. What's included: • Memory folder structure (how to organize agent context) • Cron job templates (daily briefs, meeting syncs, content automation) • How to build a custom dashboard in @lovable • API reference doc (so your agent never forgets its tools) • Voice training method (85 posts to teach it your style) • Supabase schema for dashboard connection Comment "OS" and follow. I'll DM it to you. P.S. This will probably blow up so give me some time to reply.