The top Hermes integrations to give your agent superpowers:
1. Firecrawl
Basically web search built for agents.
It's better than the native Hermes web search because it gives you clean web data, so responses come back faster and uses fewer tokens.
I keep this on by default.
2. Browserbase
Gives Hermes browser access for actually interacting with sites.
Logging in, clicking buttons, booking stuff, anything that needs a real browser session.
Hermes will automatically pick between Firecrawl and Browserbase depending on what the task needs, so you just plug both in.
3. Google Workspace
Gmail, Calendar, Drive, Docs, and Sheets in one connector.
If Hermes can't read your inbox, see your calendar, or write to your docs, it can't really work for you. Plug this in first.
4. Reddit
The best signal you'll find on what people actually think about any product, niche, or problem (bc its real opinions from real users)
Amazing for market research.
5. YouTube transcripts
Pulls captions from any video. Long podcasts, tutorials, interviews etc become searchable notes in seconds.
Probably the highest-leverage research integration nobody plugs in.
6. Discord
I host my business in Discord, so this one's huge for me.
I plug Hermes into different channels and have it run specific workflows in each.
Example: I have a dedicated customer support channel where Hermes scans my email every morning for support tickets and drops them in organized.
7. GitHub
Code, issues, PRs. Turns Hermes into an actual engineering teammate.
Non-negotiable if you write code.
8. Stripe
Payments, customers, failed charges, refunds.
You can just ask "why did this customer churn" and get a real answer.
Also can't wait for this...Stripe is releasing agentic payments, so soon Hermes will be able to actually book stuff with your card.
9. Bland (or Twilio)
Gives Hermes a voice so it can place real phone calls (like booking reservations etc).
I love listening to the recordings haha
10. Apify
Pre-built scrapers for X, LinkedIn, Instagram, Google Maps, etc. The way to get X data without paying $5k/mo for the official API.
11. Readwise
Every highlight you've ever saved from books, articles, tweets, and podcasts, all queryable. Solves the "dead knowledge" problem.
12. Granola (or Fathom)
Searchable transcripts of every meeting you've had. Hermes can answer "what did that client say about pricing last month" instantly.
13. Obsidian
For Karpathy LLM wiki second-brain maxxing.
If I had to set up only 5, I'd do Firecrawl, Browserbase, Google Workspace, GitHub, and Obsidian.
Covers ~80% of what most people need.
I use Composio to add these in one click, makes setup basically zero effort instead of messing w technical stuff.
Anything I'm missing?? What's in your stack?
显示更多
Understanding, accepting, and working with reality is both practical and beautiful. I have become so much of a hyperrealist that I’ve learned to appreciate the beauty of all realities, even harsh ones, and have come to despise impractical idealism.
Don’t get me wrong: I believe in making dreams happen. To me, there’s nothing better in life than doing that. The pursuit of dreams is what gives life its flavor. My point is that people who create great things aren’t idle dreamers: They are totally grounded in reality. Being hyperrealistic will help you choose your dreams wisely and then achieve them.
By interacting with my digital twin, you can evaluate your own decision-making processes and evolve your approach in real-time. The faster you evolve, the faster your results will follow. Click the link below/in my bio to start our comversation now. #
principleoftheday#
显示更多
Very interested in what the coming era of highly bespoke software might look like.
Example from this morning - I've become a bit loosy goosy with my cardio recently so I decided to do a more srs, regimented experiment to try to lower my Resting Heart Rate from 50 -> 45, over experiment duration of 8 weeks. The primary way to do this is to aspire to a certain sum total minute goals in Zone 2 cardio and 1 HIIT/week.
1 hour later I vibe coded this super custom dashboard for this very specific experiment that shows me how I'm tracking. Claude had to reverse engineer the Woodway treadmill cloud API to pull raw data, process, filter, debug it and create a web UI frontend to track the experiment. It wasn't a fully smooth experience and I had to notice and ask to fix bugs e.g. it screwed up metric vs. imperial system units and it screwed up on the calendar matching up days to dates etc.
But I still feel like the overall direction is clear:
1) There will never be (and shouldn't be) a specific app on the app store for this kind of thing. I shouldn't have to look for, download and use some kind of a "Cardio experiment tracker", when this thing is ~300 lines of code that an LLM agent will give you in seconds. The idea of an "app store" of a long tail of discrete set of apps you choose from feels somehow wrong and outdated when LLM agents can improvise the app on the spot and just for you.
2) Second, the industry has to reconfigure into a set of services of sensors and actuators with agent native ergonomics. My Woodway treadmill is a sensor - it turns physical state into digital knowledge. It shouldn't maintain some human-readable frontend and my LLM agent shouldn't have to reverse engineer it, it should be an API/CLI easily usable by my agent. I'm a little bit disappointed (and my timelines are correspondingly slower) with how slowly this progression is happening in the industry overall. 99% of products/services still don't have an AI-native CLI yet. 99% of products/services maintain .html/.css docs like I won't immediately look for how to copy paste the whole thing to my agent to get something done. They give you a list of instructions on a webpage to open this or that url and click here or there to do a thing. In 2026. What am I a computer? You do it. Or have my agent do it.
So anyway today I am impressed that this random thing took 1 hour (it would have been ~10 hours 2 years ago). But what excites me more is thinking through how this really should have been 1 minute tops. What has to be in place so that it would be 1 minute? So that I could simply say "Hi can you help me track my cardio over the next 8 weeks", and after a very brief Q&A the app would be up. The AI would already have a lot personal context, it would gather the extra needed data, it would reference and search related skill libraries, and maintain all my little apps/automations.
TLDR the "app store" of a set of discrete apps that you choose from is an increasingly outdated concept all by itself. The future are services of AI-native sensors & actuators orchestrated via LLM glue into highly custom, ephemeral apps. It's just not here yet.
显示更多
💯 "If you build it, they will come." :)
~Every business you go to is still so used to giving you instructions over legacy interfaces. They expect you to navigate to web pages, click buttons, they give out instructions for where to click and what to enter here or there. This suddenly feels rude - why are you telling me what to do? Please give me the thing I can copy paste to my agent.
显示更多