我们发现了什么
Launch HN:Almanac(YC S26)——了解你公司的 AI。大多数 AI 助手工具都把记忆功能当作事后才考虑的问题。
- 来源:Hacker News(发现于 2026-09-01)
- 证据等级:D · 发现产品或需求信号,暂未获得可核验的商业证据。
- 商业模式:待核验
- 主题:独立产品
- 初筛评分:30.2/100 · 收录 1 次
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中文辅助译文(全文)
嗨,HN,我是 Kushagra,Almanac 的三位创始人之一。Almanac 是一个了解你们公司一切信息的、带大脑的 Hermes。我们最初是为自己的公司搭建 Hermes 的,觉得这事儿应该很简单。我们想要的 agent 能掌握我们公司的全部上下文,这样我们就能提问,并得到贴合上下文的回答。这开启了一段极其烦人又艰难的旅程:搭建 Hermes、让它正确对话、自己为每个连接器构建 OAuth 应用、自己往里喂上下文,最终还要跟 Hermes 默认的 memory 死磕。与此同时,我们看到 YC 的同批创业伙伴也在为同样的问题挣扎,我们看到了一个机会。于是我们做了 Almanac。它的运作方式是这样的:你注册后会直接获得一个 Hermes agent;你可以一键连接任意账户(Gmail、Calendar、Granola、PostHog 等);你拥有个人账户(仅你可访问),也有共享账户(公司里所有人都可访问)。结果是,我永远看不到我联合创始人的账户。这个 agent 的"大脑"是 wiki。我们从你连接的数据源里抽取信息,并开始把这些信息组织到两个 wiki 中。一个是个人 wiki,专属于你,它理解你是谁、你的偏好、你生活中的人,以及你生活中正在发生的事。第二个是公司 wiki,包含公司是什么、你们在做什么、路线图是什么,以及公司的阻碍因素是什么。你的 agent 最终可以访问这两个 wiki 以及原始账户,从而给人"它就是懂你"的感觉。演示视频:https://www.youtube.com/watch?v=ajXP5PHuK18 。
我们是三位联合创始人,Rohan、Kushagra 和 Divit,我们从备战 IIT-JEE 起就是朋友,已经相识 11 年。我们都学过电气工程(Rohan 在 IIT Delhi,我在 IIT Kharagpur,Divit 在 BITS Pilani Hyderabad),Rohan 和我后来去了 Harvard,这个预编译层(pre-compilation layer)成了我们的毕业设计论文。我们围绕"预编译知识层"这个想法已经构建了多个产品。我们的核心差异化在于我们处理记忆与上下文的方式。多数 AI 助理工具把记忆当作事后补充。我们做面向 AI 的 wiki 已经超过一年,也为 Harvard 和 NASA 构建过产品。我们学到的最重要的一点是:要做好这件事,必须在知识库的预编译阶段投入大量算力。拥有这个预编译知识库能催生很多有趣的想法。第一是主动型 agent。既然我已经编译好公司和个人当下正在发生的事,Almanac 就能自主开始完成任务。具体来说,我们运行一个后台 worker,它会查看可以完成的任务,ping 主 agent,主 agent 再 ping 我,建议它能自动化哪些任务。于是我每天醒来会看到主动推送的通知,比如"我已经帮你起草好了融资 pitch deck 的初稿,要看一下吗?"第二是长周期任务。在我们的 wiki 中,我们维护着一个关于进行中项目的板块,所以 Almanac 可以在数天后重新拾起一项任务而不丢失线索。多数 agent 都是绑定单次会话的:它们跑一次、结束、然后忘掉。但很多真实工作不是一次性的;
它会在数小时到数天的时间里展开,且过程中有人参与。最典型的例子就是任何涉及等待人的事,比如安排会议、跟进销售线索、催一份文档。Almanac 可以代表你发送邮件,因为它一直在线且记得这个项目,它会在四小时后注意到回复,并在上下文中起草合适的后续跟进。自上线以来,我们看到了 Almanac 的很多使用场景。有一位用户通过它运营自己的狗狗救助业务:寻找可用的寄养家庭、跟踪接送、以及发送同意表格的提醒。另一位用户用 Almanac 研究 Polymarket 策略,它的记忆会保留过去的策略,提出新策略,并把它们与上次做对或做错的地方做比较。还有一位用户用它搭建营销活动,而不必每次都重新解释业务和整个活动。关于隐私和安全,Almanac 只访问你显式连接的账户。你的 OAuth 凭证由我们的连接服务商持有,不存储在 Almanac 的数据库中。我们只存储 wiki 以及其引用背后的来源。因此作为引用的一封邮件可能会以 Markdown 的形式保留。我们已上线:https://usealmanac.com 。我们的所有套餐都有 7 天试用。欢迎大家分享是否做过类似的搭建,以及希望在 Almanac 中看到哪些新功能。如果你的公司想要一个真正能完成任务的 agent,我非常愿意聊聊:https://cal.com/team/almanac/demo 。
译文由上游机器翻译生成,可能有误;判断请以英文原文为准。
英文原文(来源本站未改写)
Hi HN, I'm Kushagra, one of three founders of Almanac, a Hermes with a brain that knows everything about your company.We started our journey with setting up Hermes for our company, thinking it must be easy.We wanted an agent that would know every context about our company, so we could ask questions and get context-appropriate responses to.This started a very annoying and difficult journey.Setting up Hermes, getting it to talk right, building OAuth apps for every connector myself, then feeding it context myself, and ultimately struggling with Hermes's default memory.At the same time, we saw our YC batchmates struggling with the same problem, and we saw an opportunity.So we built Almanac.
This is how it works.You sign up, you get a Hermes agent straight out of the box.You have a one-click connect to any account (Gmail, Calendar, Granola, PostHog, etc).You have personal accounts (only accessible by you) and also shared accounts (accessible by everyone in the company).The consequence being I can never see my cofounders' accounts.The “brain” of this agent is wikis.We pull in information from your connected sources, and start organizing this information in two wikis.A personal one, for you, which understands who you are, what your preferences are, the people in your life, and the things going on in your life.
The second wiki is a company wiki, which includes what the company is, what you’re working on, what the roadmap is, and what the blockers of the company are.Your agent ultimately has access to these two wikis and the original accounts, which invoke the feeling of “it just knows you.” Here’s a demo: https://www.youtube.com/watch?v=ajXP5PHuK18 We're three cofounders, Rohan, Kushagra, and Divit, and we've been friends for 11 years, since studying for the IIT-JEE.We all did Electrical Engineering (Rohan at IIT Delhi, me at IIT Kharagpur, Divit at BITS Pilani, Hyderabad), and Rohan and I later went to Harvard, where this pre-compilation layer became our capstone thesis.
We have built multiple products around the idea of a pre-compiled knowledge layer.Our main differentiating point is the way we approach memory and context in general.Most AI assistant tools treat memory as an afterthought.We have worked on wikis for AI for more than a year now, building products for Harvard and NASA.The one thing we have learnt is that one needs to spend a lot more compute upfront, in the pre-compilation of this knowledge base, to get it right.Having this pre-compiled knowledge base enables a lot of interesting ideas.First is a proactive agent.Since I have compiled what’s going on in both my company and my current life, Almanac can start completing tasks on its own.
Concretely, we run a background worker which takes a look at tasks that could be completed, pings the main agent, who then pings me, suggesting which tasks it could automate.As a result, I wake up to proactive notifications which look like “I already prepared a draft of your fundraising pitch deck, want to take a look?” Second, long-horizon tasks.In our wikis, we maintain a section on ongoing projects, so Almanac can pick a task back up days later without losing the thread.Most agents are session-bound: they run once, finish, and forget.But a lot of real work isn't one shot;it plays out over hours and days with people in the loop.
The clearest example is anything that involves waiting on a human, like scheduling a meeting, following up on a sales thread, or chasing a document.Almanac can send an email on your behalf, and because it's always on and remembers the project, it notices the reply four hours later and drafts the right follow-up in context.Since launching, we've seen a lot of use cases for Almanac.One person runs her dog-rescue operation through it: finding available fosters, tracking pickups, and sending reminders for consent forms.
Another researches Polymarket strategies with Almanac, where its memory holds what past strategies were, proposes new ones, and compares them against what went right or wrong last time.Another builds marketing campaigns on it without having to re-explain the business and the whole campaign every single time.Regarding privacy and security, Almanac only accesses accounts you explicitly connect.Your OAuth credentials are held by our connection provider, not in Almanac’s database.We only store the wiki and the source behind its citations.So an email used as a citation may be retained as Markdown.We’re live: https://usealmanac.com .We have a 7-day trial on all of our plans.
Happy to hear if people have done similar setups, and what new features they’d like in Almanac.If you’re a company that wants to get an agent that actually gets tasks done, I would love to talk: https://cal.com/team/almanac/demo .
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