Nour Eddine Hamaidi
2.2K posts
@zeddotdev @Teknium @mr_r0b0t @NousResearch It already looks nice without the registery, we really need it there, I raised it in the Zed Discord day1 yet Hermes wasn't popular then.
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@zeddotdev could we please get official ACP support for @NousResearch Hermes agent?
It's ACP ready, just need the formal connect 😍
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@Teknium Bro I was thinking this just yesterday, hermes orchestrates codexes.
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@neural_avb @OpenAIDevs @thsottiaux I did this. And it's seamless to switch between 2 in Codex mac app without loosing any chats! However I since upgraded to 1x$100 and can't even use up the limits, they're super high
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Someone from the Codex team, can you kindly explain the TOS around this?
If I have a $40/mo budget, is it safe to get two Plus accounts?
@OpenAIDevs @thsottiaux
AVB@neural_avb
Told my girlfriend, "current $20 Codex sub is not enough. I need to go $100/mo" She suggested, "why don't you open a second $20 Codex account" I feel so dumb🤔
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@reagan_hsu I had to hack around to Fix the Windows Version bugs.
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hello potential Browser Use Desktop(github.com/browser-use/de…) users!!
if you've used the app, love it or hate it, I would love to learn about your use case and how I can make the app as best as possible for ya
will give credits hahahhaa just dm me!
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Give our early preview of Computer Use (with ANY model) a try today!
Built into the latest Hermes Agent and powered by @trycua - opens the door to any model, not just the frontier models in special modes - to control your actual computer.
Best part, it doesnt take over your PC - you can continue to work and operate with full control of your keyboard, mouse, and screen - works entirely in the background!
Nous Research@NousResearch
Computer use with any model Hermes Agent × @trycua
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@Teknium Would be cool if most things are pluginable and base hermes is so light. Anyone then can only install what they need.
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We have greatly expanded the surface area for plugins over the last few weeks, and now you can extend LLM Inference Providers and Gateway Channels with plugins.
Want a custom implementation of your favorite gateway platform? Maybe we haven't been quick enough to add inference provider support for your favorite provider? Are you a provider of one of these interfaces and want to help bring access to it faster?
Create a plugin and share it in the plugins-skills-and-skins channel!
Check out the docs on the total pluggable surface of Hermes Agent here: #pluggable-interfaces--where-to-go-for-each" target="_blank" rel="nofollow noopener">hermes-agent.nousresearch.com/docs/user-guid…
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@Maketplans Free isn't the catch anymore, I need an agent to be able to show different room designs for me
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@__RobertG__ I use the default (No external memory system)!
and find it plenty adequate for my use
But I dont use/need the day to day diary like interactions like some people want
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Can someone who is a seasoned Hermes Agent user recommend a good memory setup? There are a number of options (Honcho, OpenViking, Mnemosyne, etc.) and I have no idea which one to choose. I just want something that works well and that I can run locally. @Teknium, any advice?
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🤯 Hermes agent just got a Kanban task board, and it changes everything.
Watch multiple AI agents collaborate in real time, each with a defined role, completing tasks with way more depth than your typical sub-agents.
This is the future of multi-agent workflows 👇
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@0xPaulius @zeddotdev IDE but can use all the above + hermes.
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Codex - but u can use Claude, Cursor, OpenCode, GPT, Kimi, etc
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@Teknium @boxmining Now this is obviously chasing down paperclip
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@boxmining Should I see about letting hermes/orchestrator profile get the ability to make profiles? ^_^
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The important thing is 24t/s is actually usable for agentic tasks as long as you don’t need a lot of human in the loop
stevibe@stevibe
"Why are you benchmarking DGX Spark? It's a training box." Yeah. Low bandwidth, but 128GB of unified memory is just sitting there. Plenty of room to optimize. DGX Spark + Qwen3.6 27B. Four backend/quant combos: 🔴 llama.cpp + UD_Q4_K_XL > 11.0 tok/s (baseline), TTFT 297ms 🟢 llama.cpp + DFlash > 20.4 tok/s (peaks at 97 tok/s), TTFT 320ms 🟡 vLLM FP8 + MTP > 13.1 tok/s, TTFT 540ms 🟣 vLLM NVFP4 + MTP > 24.2 tok/s, TTFT 376ms NVFP4+MTP is the winner for me, rock stable around 24 tok/s, no wild swings. DFlash is the wildcard: massive peaks, but fluctuates a lot. FP8+MTP barely beats baseline, and it's FP8. Love my Spark.
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@yazins it just opens the tab and sees the status there, but you need an api for AI (Gemini or xAI) and ALPHAVINTAGE
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randomly came across this repo called "vibetrader"
It feeds candlestick charts to an image model, which tells it to either BUY/SELL/HOLD.
it's like the good ole' chart-reading you see all over Tradingview, but without all the squiggly lines..
i'm running it on a $100k Alpaca paper account for 2 weeks to see how it fares with the real market.
just started today; i'll share an update in a couple weeks
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@Worldchang2025 @Teknium Hi there,
it has this guide github.com/HenkDz/hermes-…
let me know if it is not clear engouh. You can have your agent install it easily (on a separate profile so you can test only on that profile). For me I have it on a recall-test agent.
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There is just over 30 minutes left to submit your Hermes Agent creativity/art hackathon submission, and we have over TWO HUNDRED submissions.
Get those last minute submissions in NOW! Happy Hacking!
Nous Research@NousResearch
The Hermes Agent Creative Hackathon starts now 16 Days, $25k in Prizes Presented by @Kimi_Moonshot & @NousResearch For the tinkerers pushing Hermes Agent into creative domains: video, image, audio, 3D, long-form writing, creative software, interactive media and more. Show us what your Hermes Agent can do. Details Below ↓
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Our first dive into Multi-Agent Coordination and Cooperation is here, with Hermes Agent Kanban
Orchestrate tasks across multiple agent profiles and dependencies easily and visually. Achieve more.
See the docs here:
hermes-agent.nousresearch.com/docs/user-guid…
Nous Research@NousResearch
Hermes Agent now has multi-agent via the Kanban, new in v0.12.0. Agents claim tasks from a board, work in parallel, and hand off when blocked. You watch progress and unblock from one easy view instead of juggling terminals. We asked it to plan and make this video about itself:
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