Hermes Agent can now /learn from anything: feed it directories of any source material (code, API docs, manuals, PDFs, configs) and it distills a verifiable reusable skill
Tip of the Day: Did you know you can share your hermes agent profiles onto github?
Share a profile and others or yourself can download and distribute it with ease!
See the docs here: https://t.co/TioH6JHaVE
Hermes Agent now supports asyncronous subagents!
The existing delegate tool, which your agent uses to spawn subagents to fan out and do work, no longer blocks your chat!
To access now, `hermes update`, and enjoy!
I saw a post on Reddit that said that “The underlying purpose of AI is to allow wealth to access skill while removing from the skilled the ability to access wealth.” And I don’t think I’ve ever seen AI described so incisively.
Introducing Write Gate in Hermes Agent.
Now you have the capability to be able to approve/deny memory updates, skill updates, and skill creation with the same familiar mechanisms as approving dangerous commands.
If you are using a small model that doesn't always recognize what it learned, a secure environment that needs gating before things that can affect operations occurs, or just want to be more involved in the self improvement process of your Hermes Agent, now you have full control!
This will be included in the next major release version, but you can run `hermes update` now to access early!
I want to say a final thing about my Fable first reaction: I dedicated my life to programming and I'll use every innovation in the field, also to extract value and bring it to the local inference world, to Redis, and so forth. But:
Fable is a good model. As with all new models, it is simultaneously excellent and entirely unremarkable (relative to other models). It is slow and expensive, and the "loops are all you need" discourse they are pushing is obvious in the context of someone using Fable-class models
What I've found so far is that for broad scope design (code architecture) tasks, Fable is unremarkable. Or, not better enough to justify its cost and speed.
But in highly targeted goal-oriented loops, it is another beast entirely. It is very slow but produces very good results.
I let it churn on optimizing a SwiftUI-layout resolver in Go I wrote and it was able to bring it down to an order of magnitude I could not reach myself (micro => nanosecond scale). But it took 2 hours and $40 to do it and I had to claw back some changes it overfit to Apple Silicon. Still, very worth it.
In comparison, for "implement this feature/change" iterative work, I ran head-to-head Fable vs GPT5.5 vs. GLM-5.1. They all produced equally acceptable final results, but GPT5/GLM did it in a couple minutes and Fable was churning away for 40 minutes. And GLM cost me less than a dollar, GPT5.5 ~$1.50, and Fable cost $9.
You can see that in this context, interactively working with an agent is nonsense. Its too slow. You need to write loops to keep the agent working and you probably want to highly parallelize the work being done. As with all things, I think a balance makes sense...
My sense is that I'd reserve Fable for targeted, surgical analysis and work. Not for daily driving everyday tasks.
I'm going to keep spending a shitload of money (relatively) and maining Fable for the rest of the week to continue to judge, will report if anything changes. I'll continue to head-to-head as well.
Having an amazing time writing the story, screenplay, dialogues and songs for Son of Thanjai.
The game is being developed by @StudioAyelet and is coming to @Xbox and @PlayStation.
Watch the Gameplay Reveal Trailer
https://t.co/4XKAQ8z1ck
#SonOfThanjai
you need to be promptmaxxing. sorry, you need to stop prompting. you need to write loops. your loops need to be agentic. your agents need to be prompting your loops. you need recursive loops within your agentic workflows. you need to design while loops that constantly generate new agentic workflows from first principles. you need to migrate from human-first tokenmaxxing to agent-first loopmaxxing. you need to be a loop-pilled tokenmaxxed agentcore vibe coder. you are now in your loop era. be in your loop era. be loopy
IaC was always such a beautiful idea with imperfections
things always went sideways and you'd have to cleanup resources or state manually
but now it's actually as magical as it could be because your agent deals with that for you