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Introducing Hermes Fleet! We are training LeWorld and Qwen 2.5 model our decentralized 70000 hardware fleet using Hermes Agent Framework. Imagine what we can build! Teknium 🪽 Nous Research Sudo su

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13,615 görüntüleme • 4 ay önce •via X (Twitter)

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Introducing Hermes Workspace 🚀 Native UI for Nous Research Hermes Agent Teknium 🪽 + Mobile Access 📲 💬 Chat with live tool execution 🖥 Built-in Terminal 📦 90 Skills Browser 🧠 Memory Viewer 📂 File Explorer 🎨 8 Themes (Dark + Light) ⚙️ Provider & Model Config 🔍 Inspector Panel Built for the Hermes Agent Hackathon⭐️
1:41

Introducing Hermes Workspace 🚀 Native UI for Nous Research Hermes Agent Teknium 🪽 + Mobile Access 📲 💬 Chat with live tool execution 🖥 Built-in Terminal 📦 90 Skills Browser 🧠 Memory Viewer 📂 File Explorer 🎨 8 Themes (Dark + Light) ⚙️ Provider & Model Config 🔍 Inspector Panel Built for the Hermes Agent Hackathon⭐️

Eric ⚡️ Building...

63,384 görüntüleme • 5 ay önce

You can run Hermes agent by Nous Research with Kimi K2.6 on atomicbot.ai VPS 🌑 Kimi.ai just dropped a new open source coding model. We asked Hermes to build and deploy a game. It did incredibly well!
0:27

You can run Hermes agent by Nous Research with Kimi K2.6 on atomicbot.ai VPS 🌑 Kimi.ai just dropped a new open source coding model. We asked Hermes to build and deploy a game. It did incredibly well!

atomicbot.ai

42,913 görüntüleme • 4 ay önce

Ever wonder what it looks like inside the Buzz hive with Fable, Sol, and Hermes running at the same time? So did I, so I asked Deepseek v4 Flash and Flux 3 to show me. Thanks Teknium 🪽 Nous Research Black Forest Labs and jack - we live in amazing times.
0:53

Ever wonder what it looks like inside the Buzz hive with Fable, Sol, and Hermes running at the same time? So did I, so I asked Deepseek v4 Flash and Flux 3 to show me. Thanks Teknium 🪽 Nous Research Black Forest Labs and jack - we live in amazing times.

Leo Laporte (twit.social/@leo)

16,395 görüntüleme • 29 gün önce

Hermes Agent is now free to run 24/7. No paid model needed. You can plug in: → Qwen 3.6 Plus → OwlAlpha via OpenRouter Both have 1M token context windows. That means your agent can research, write, find leads, handle tasks, and build workflows without burning through paid API credits. The best part? When one free model hits limits, just switch to the other. Free AI agents are getting scary fast.
8:29

Hermes Agent is now free to run 24/7. No paid model needed. You can plug in: → Qwen 3.6 Plus → OwlAlpha via OpenRouter Both have 1M token context windows. That means your agent can research, write, find leads, handle tasks, and build workflows without burning through paid API credits. The best part? When one free model hits limits, just switch to the other. Free AI agents are getting scary fast.

Julian Goldie SEO

21,609 görüntüleme • 3 ay önce

A lot of people are calling Hermes Agent the end of OpenClaw. BRUH! It's not... Nous Research trains actual models and they built an agent around that expertise. The local model routing is solid, but the part that matters for your business is that your conversations become fine-tuning data. You can train a model on how you actually work. 00:00 The Problem with Local AI Models 00:25 Introduction to Nous Research 01:04 Cross-Platform Agent Capabilities 01:44 Deep Local Model Integration 02:30 Routing Tasks to Different Models 03:06 Conversations as Training Data 03:50 Hermes Agent vs. OpenClaw 04:15 Future Plans and Series Overview
4:45

A lot of people are calling Hermes Agent the end of OpenClaw. BRUH! It's not... Nous Research trains actual models and they built an agent around that expertise. The local model routing is solid, but the part that matters for your business is that your conversations become fine-tuning data. You can train a model on how you actually work. 00:00 The Problem with Local AI Models 00:25 Introduction to Nous Research 01:04 Cross-Platform Agent Capabilities 01:44 Deep Local Model Integration 02:30 Routing Tasks to Different Models 03:06 Conversations as Training Data 03:50 Hermes Agent vs. OpenClaw 04:15 Future Plans and Series Overview

Ray Fernando

42,398 görüntüleme • 5 ay önce

HERMES AGENT: 5 USEFUL COMMUNITY PLUGINS RIGHT NOW Hermes already ships with strong core features — Skills, MCP, Memory, Curator, and a plugin system. These extensions don’t replace anything in the core. They fill practical gaps. Here are the ones worth installing: 1. hermes-plugins by 42-evey Solid collection. Adds goal management, inter-agent communication, cost tracking, and easier model switching. Good for running Hermes autonomously. 2. web-search-plus Much stronger web search than the default. Supports multiple providers, smart routing, quality scoring, and a proper research mode. 3. super-hermes by Cranot Adds “Prisms” — structured analytical frameworks. Makes the agent noticeably better at deep analysis and catching its own blind spots. 4. Hermes Agent Self-Evolution (by Nous Research) Official companion that automatically improves skills and prompts using DSPy + GEPA. Useful if you want the agent to get better over time with minimal manual work. 5. Advanced Memory Providers When built-in memory isn’t enough for long projects, external providers give Hermes stronger long-term recall and context handling. All of these work cleanly on top of Hermes v0.16.0 without conflicting with core systems. Which plugins or extensions are you actually using with Hermes right now? Github links 👇
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HERMES AGENT: 5 USEFUL COMMUNITY PLUGINS RIGHT NOW Hermes already ships with strong core features — Skills, MCP, Memory, Curator, and a plugin system. These extensions don’t replace anything in the core. They fill practical gaps. Here are the ones worth installing: 1. hermes-plugins by 42-evey Solid collection. Adds goal management, inter-agent communication, cost tracking, and easier model switching. Good for running Hermes autonomously. 2. web-search-plus Much stronger web search than the default. Supports multiple providers, smart routing, quality scoring, and a proper research mode. 3. super-hermes by Cranot Adds “Prisms” — structured analytical frameworks. Makes the agent noticeably better at deep analysis and catching its own blind spots. 4. Hermes Agent Self-Evolution (by Nous Research) Official companion that automatically improves skills and prompts using DSPy + GEPA. Useful if you want the agent to get better over time with minimal manual work. 5. Advanced Memory Providers When built-in memory isn’t enough for long projects, external providers give Hermes stronger long-term recall and context handling. All of these work cleanly on top of Hermes v0.16.0 without conflicting with core systems. Which plugins or extensions are you actually using with Hermes right now? Github links 👇

YanXbt

34,564 görüntüleme • 2 ay önce

HERMES AGENT + QWEN 3.6 IS CURRENTLY THE STRONGEST LOCAL SETUP MOST PEOPLE CAN RUN. Even if frontier models stopped improving tomorrow, this stack would still cover the majority of real work. Qwen 3.6 (72B and 235B) is officially supported in Hermes and brings: → Strong coding and complex refactoring → Reliable tool calling and multi-step execution → Excellent long context (128k–1M tokens) → Good structured reasoning with /goal workflows → Solid memory and session continuity Paired with Hermes memory, skills, Kanban, cron and tools — you get a fully private, self-improving agent that codes, automates and runs 24/7 without sending data anywhere. You don’t need the latest closed model to build something powerful. This is one of the strongest fully local stacks available right now — and it runs on real hardware.
0:25

HERMES AGENT + QWEN 3.6 IS CURRENTLY THE STRONGEST LOCAL SETUP MOST PEOPLE CAN RUN. Even if frontier models stopped improving tomorrow, this stack would still cover the majority of real work. Qwen 3.6 (72B and 235B) is officially supported in Hermes and brings: → Strong coding and complex refactoring → Reliable tool calling and multi-step execution → Excellent long context (128k–1M tokens) → Good structured reasoning with /goal workflows → Solid memory and session continuity Paired with Hermes memory, skills, Kanban, cron and tools — you get a fully private, self-improving agent that codes, automates and runs 24/7 without sending data anywhere. You don’t need the latest closed model to build something powerful. This is one of the strongest fully local stacks available right now — and it runs on real hardware.

YanXbt

53,423 görüntüleme • 2 ay önce

How to start your Hermes AI Agent (step-by-step guide for beginners) I'm a beginner, and I spent the last 24h: > Understanding the process > Launching my Hermes Agent (Nous Research) > Recording the whole process > Editing this step-by-step guide So you can do it yourself and understand everything in less than 1 hour! 00:00 Intro 00:38 What is Hermes ? Key concepts every beginner should know 01:16 What is a VPS ? 02:00 What is SSH ? 03:52 What is the Terminal ? 04:03 What is an LLM provider ? 04:37 What is an API key ? 04:52 What is the Terminal Backend 05:34 What is the Messaging Gateway ? 06:10 What is the Memory System ? Step-by-step: Launch your Hermes AI agent 06:53 Step 1 : Get your VPS 08:04 How to generate an SSH key 09:00 Step 2 : Connect to your VPS 10:32 Step 3 : Install Hermes Agent 14:34 Connect your agent to Telegram 17:12 How to fix a mistake during the process 17:48 Gateway testing 18:17 Telegram is working 18:31 Run your agent 24/7 19:16 Thank you Make sure to save this for later and share it with friends who want to start with AI agents. Thanks to Teknium 🪽 for being so active!
20:04

How to start your Hermes AI Agent (step-by-step guide for beginners) I'm a beginner, and I spent the last 24h: > Understanding the process > Launching my Hermes Agent (Nous Research) > Recording the whole process > Editing this step-by-step guide So you can do it yourself and understand everything in less than 1 hour! 00:00 Intro 00:38 What is Hermes ? Key concepts every beginner should know 01:16 What is a VPS ? 02:00 What is SSH ? 03:52 What is the Terminal ? 04:03 What is an LLM provider ? 04:37 What is an API key ? 04:52 What is the Terminal Backend 05:34 What is the Messaging Gateway ? 06:10 What is the Memory System ? Step-by-step: Launch your Hermes AI agent 06:53 Step 1 : Get your VPS 08:04 How to generate an SSH key 09:00 Step 2 : Connect to your VPS 10:32 Step 3 : Install Hermes Agent 14:34 Connect your agent to Telegram 17:12 How to fix a mistake during the process 17:48 Gateway testing 18:17 Telegram is working 18:31 Run your agent 24/7 19:16 Thank you Make sure to save this for later and share it with friends who want to start with AI agents. Thanks to Teknium 🪽 for being so active!

Theo

33,099 görüntüleme • 5 ay önce

Chess engines tell you the best move. But grandmasters are human, they don’t always play it. So I built "Kibitz": a human move predictor for chess broadcasts. I trained this model on my Nvidia RTX 5080. Then I made it run as a business by itself. A channel buys the overlay, Hermes onboards them, charges via Stripe test mode, runs the broadcast, narrates with NVIDIA AI Nemotron, tracks inference cost, and books its own P&L. I build. Hermes operates. This is my demo and entry for the Nous Research × NVIDIA AI × Stripe Hermes Agent Accelerated Business Hackathon.
2:26

Chess engines tell you the best move. But grandmasters are human, they don’t always play it. So I built "Kibitz": a human move predictor for chess broadcasts. I trained this model on my Nvidia RTX 5080. Then I made it run as a business by itself. A channel buys the overlay, Hermes onboards them, charges via Stripe test mode, runs the broadcast, narrates with NVIDIA AI Nemotron, tracks inference cost, and books its own P&L. I build. Hermes operates. This is my demo and entry for the Nous Research × NVIDIA AI × Stripe Hermes Agent Accelerated Business Hackathon.

Vidit Gujrathi

658,255 görüntüleme • 2 ay önce

You need to try Hermes RIGHT NOW. OpenClaw was the breakthrough. Hermes feels like the evolution. Here’s why AI power users are quietly switching: • Hermes learns from you over time • It creates its own reusable skills • Memory stays curated instead of bloated • Agents improve every 10 turns automatically • It actually feels stable on day 30 The wildest part: Hermes agents build workflows from your behavior. One user asked their agent to configure Twingate once. The agent: → learned the process → created a reusable skill → stored it for future tasks → improved its own workflow automatically That’s not prompt engineering anymore. That’s agent evolution. Meanwhile most people are still babysitting broken OpenClaw setups and manually importing marketplace skills. Hermes took a different path: Less clutter. Less tweaking. More autonomy. And it’s working. It already flipped OpenClaw in OpenRouter token usage and became one of the fastest-growing AI repos on GitHub. The bigger shift: We’re entering the era where the model matters less than the harness around it. GPT-5.5, Grok, Qwen: They’re already powerful enough. The real edge now is: • memory systems • self-improvement loops • skill creation • agent orchestration Hermes understands that. Most people still think AI agents are glorified chatbots. The people using Hermes are building AI teammates.
32:38

You need to try Hermes RIGHT NOW. OpenClaw was the breakthrough. Hermes feels like the evolution. Here’s why AI power users are quietly switching: • Hermes learns from you over time • It creates its own reusable skills • Memory stays curated instead of bloated • Agents improve every 10 turns automatically • It actually feels stable on day 30 The wildest part: Hermes agents build workflows from your behavior. One user asked their agent to configure Twingate once. The agent: → learned the process → created a reusable skill → stored it for future tasks → improved its own workflow automatically That’s not prompt engineering anymore. That’s agent evolution. Meanwhile most people are still babysitting broken OpenClaw setups and manually importing marketplace skills. Hermes took a different path: Less clutter. Less tweaking. More autonomy. And it’s working. It already flipped OpenClaw in OpenRouter token usage and became one of the fastest-growing AI repos on GitHub. The bigger shift: We’re entering the era where the model matters less than the harness around it. GPT-5.5, Grok, Qwen: They’re already powerful enough. The real edge now is: • memory systems • self-improvement loops • skill creation • agent orchestration Hermes understands that. Most people still think AI agents are glorified chatbots. The people using Hermes are building AI teammates.

Dami-Defi

17,062 görüntüleme • 3 ay önce

The Hermes Agent Accelerated Business Hackathon presented by NVIDIA AI × Stripe × Nous Research starts now, for builders making agents that can earn, spend, and run real operations at any scale. Our NVIDIA integrations let your team run agents safely through NemoClaw, quickly on Nemotron 3 Ultra, and intelligently with access to their extensive agent skills. The new Stripe Skills for Hermes let your agent buy what it needs, provision its own SaaS, and pay for the services it uses. We want to see what kind of business tooling you can build on top of this foundation, whether it’s a fully automated company or a framework to accelerate enterprise functions. Prizes: 1st — $10,000 cash + NVIDIA DGX Spark + $5,000 Stripe Credits 2nd — $5,000 cash + NVIDIA DGX Spark + $3,000 Stripe Credits 3rd — $2,500 cash + NVIDIA DGX Spark + $1,000 Stripe Credits To enter: 1) Tweet a 1-3 minute demo video tagging Nous Research with a short writeup 2) Drop the link in the submissions channel: 3) Fill out the submission form: Judged by Nous Research, NVIDIA, and Stripe on usefulness, viability, and presentation. Submissions due EOD Tuesday, June 30.
1:06

The Hermes Agent Accelerated Business Hackathon presented by NVIDIA AI × Stripe × Nous Research starts now, for builders making agents that can earn, spend, and run real operations at any scale. Our NVIDIA integrations let your team run agents safely through NemoClaw, quickly on Nemotron 3 Ultra, and intelligently with access to their extensive agent skills. The new Stripe Skills for Hermes let your agent buy what it needs, provision its own SaaS, and pay for the services it uses. We want to see what kind of business tooling you can build on top of this foundation, whether it’s a fully automated company or a framework to accelerate enterprise functions. Prizes: 1st — $10,000 cash + NVIDIA DGX Spark + $5,000 Stripe Credits 2nd — $5,000 cash + NVIDIA DGX Spark + $3,000 Stripe Credits 3rd — $2,500 cash + NVIDIA DGX Spark + $1,000 Stripe Credits To enter: 1) Tweet a 1-3 minute demo video tagging Nous Research with a short writeup 2) Drop the link in the submissions channel: 3) Fill out the submission form: Judged by Nous Research, NVIDIA, and Stripe on usefulness, viability, and presentation. Submissions due EOD Tuesday, June 30.

Nous Research

1,890,111 görüntüleme • 2 ay önce

London will not tolerate criminal behaviour. The Met’s new Sur-Ron e-bikes are already proving their value in helping officers go after offenders using e-bikes. With the fleet now expanded, we can build on progress tackling robbery and phone theft to help make our streets safer.
3:09

London will not tolerate criminal behaviour. The Met’s new Sur-Ron e-bikes are already proving their value in helping officers go after offenders using e-bikes. With the fleet now expanded, we can build on progress tackling robbery and phone theft to help make our streets safer.

Mayor of London, Sadiq Khan

45,680 görüntüleme • 4 gün önce

Our approach to AI infra is simple: build the most fungible and flexible fleet to meet the real world's needs across inference and training as Scott Guthrie shared with Alex Kantrowitz. And we are already doing it at scale today, as we power the biggest AI workloads like Copilot and ChatGPT, APIs that power 3P products & enterprise workloads and high scale training.
1:39

Our approach to AI infra is simple: build the most fungible and flexible fleet to meet the real world's needs across inference and training as Scott Guthrie shared with Alex Kantrowitz. And we are already doing it at scale today, as we power the biggest AI workloads like Copilot and ChatGPT, APIs that power 3P products & enterprise workloads and high scale training.

Satya Nadella

114,478 görüntüleme • 11 ay önce

We deployed a fully private AI agent on NuNet in under 5 minutes 🚀 OpenClaw🦞 running Qwen through ollama , one of the hottest open source model families right now, entirely on decentralized compute. No cloud. No API keys. No data leaving the machine. This is what private AI looks like when you actually build it instead of just talking about it. Your model. Your hardware. Your rules. Full walkthrough showing exactly how it works: What should we deploy next?
12:59

We deployed a fully private AI agent on NuNet in under 5 minutes 🚀 OpenClaw🦞 running Qwen through ollama , one of the hottest open source model families right now, entirely on decentralized compute. No cloud. No API keys. No data leaving the machine. This is what private AI looks like when you actually build it instead of just talking about it. Your model. Your hardware. Your rules. Full walkthrough showing exactly how it works: What should we deploy next?

NuNet 🌐

87,604 görüntüleme • 5 ay önce

We beat Claude Code in our evals: 61% to 53%. Yes, evals are actually important haha And now we’re open-sourcing our entire codebase and launching an agent framework! Now you can build custom agents for your project and get better results 🔥
5:42

We beat Claude Code in our evals: 61% to 53%. Yes, evals are actually important haha And now we’re open-sourcing our entire codebase and launching an agent framework! Now you can build custom agents for your project and get better results 🔥

James Grugett

276,719 görüntüleme • 11 ay önce

“We believe in intelligence as a public good before everything else.” Here’s my new episode with mephisto, who co-founded Nous Research and helped build Hermes, the #1 personal agent and AI app on OpenRouter. Karan is the most down-to-earth AI founder I've interviewed. We had a great chat about: → Why open-source AI must win → How Hermes improves itself without slop → How to mod your favorite games with AI Some quotes from Karan: “We need to keep giving this level of intelligence to everyone so that we're all on an even and equal playing field.” “Anytime [the model] says ‘you’re absolutely right,’ you’re being reward hacked. You are fuel for its reward function.” “Memory, skills, and the self-improvement loop are where context is stored. That’s where the actual personality you want lives. You can put that on any model.” 📌 Watch now: Thanks to our sponsors: Riverside: All-in-one AI studio for podcasts and video Linear: The AI agent platform for modern teams
0:32

“We believe in intelligence as a public good before everything else.” Here’s my new episode with mephisto, who co-founded Nous Research and helped build Hermes, the #1 personal agent and AI app on OpenRouter. Karan is the most down-to-earth AI founder I've interviewed. We had a great chat about: → Why open-source AI must win → How Hermes improves itself without slop → How to mod your favorite games with AI Some quotes from Karan: “We need to keep giving this level of intelligence to everyone so that we're all on an even and equal playing field.” “Anytime [the model] says ‘you’re absolutely right,’ you’re being reward hacked. You are fuel for its reward function.” “Memory, skills, and the self-improvement loop are where context is stored. That’s where the actual personality you want lives. You can put that on any model.” 📌 Watch now: Thanks to our sponsors: Riverside: All-in-one AI studio for podcasts and video Linear: The AI agent platform for modern teams

Peter Yang

124,572 görüntüleme • 29 gün önce

this is a laptop running a 31b parameter model at 99% gpu autonomously through hermes agent, 15 tok/s sustained, 22.8 of 24gb vram gone, 94 watts at 50c. no api keys. no rate limits. no "your prompts are being used for training". no monthly subscription. no anthropic telling me what i can and cant ask. no openai logging my work. no outages when aws goes down. just google deepmind's open weights, open source llama.cpp, nous research's hermes agent, a rog scar 18 on my desk, and 95 watts of sustained compute while it builds stuff on its own. the laptop is roaring. results incoming.
0:50

this is a laptop running a 31b parameter model at 99% gpu autonomously through hermes agent, 15 tok/s sustained, 22.8 of 24gb vram gone, 94 watts at 50c. no api keys. no rate limits. no "your prompts are being used for training". no monthly subscription. no anthropic telling me what i can and cant ask. no openai logging my work. no outages when aws goes down. just google deepmind's open weights, open source llama.cpp, nous research's hermes agent, a rog scar 18 on my desk, and 95 watts of sustained compute while it builds stuff on its own. the laptop is roaring. results incoming.

Sudo su

65,567 görüntüleme • 4 ay önce

Local models aren’t fast and honestly they’re not cheaper (yet!) than your frontier model sub. BUT, you can burn infinite tokens 24/7– and that when things get interesting. That’s why Alex Finn runs a fleet of Mac Studios, a DGX Spark, and an RTX 5090 machine to power ambient AI across his business. In this ep, Alex shows me his local AI setup, including: - how he chooses his hardware - Tailscale to stay connected - how cc and local models work together - his software factory: from build loop to rocket emoji Plus, we have the honest OpenClaw vs Hermes debate 🦞 A big ty to our sponsors! Runway - The creative AI platform for images, video and more Atlassian Jira - Prioritize with insights, build with confidence Full episode:
1:32

Local models aren’t fast and honestly they’re not cheaper (yet!) than your frontier model sub. BUT, you can burn infinite tokens 24/7– and that when things get interesting. That’s why Alex Finn runs a fleet of Mac Studios, a DGX Spark, and an RTX 5090 machine to power ambient AI across his business. In this ep, Alex shows me his local AI setup, including: - how he chooses his hardware - Tailscale to stay connected - how cc and local models work together - his software factory: from build loop to rocket emoji Plus, we have the honest OpenClaw vs Hermes debate 🦞 A big ty to our sponsors! Runway - The creative AI platform for images, video and more Atlassian Jira - Prioritize with insights, build with confidence Full episode:

claire vo 🖤

54,333 görüntüleme • 1 ay önce

I love Hermes Agent and Gemini Live is also one of my for voice conversation, so over the weekend I built a small vibe-coding project that brings the two together called IRIS. The idea is simple: Gemini Live becomes the conversational interface, while Hermes Agent handles execution, automation, and long-running tasks behind the scenes. I can talk to Gemini naturally, and whenever something needs real work, Gemini formulates the request and hands it off to Hermes. The best part is that the conversation never stops. Gemini keeps talking with me naturally while Hermes works in the background. When Hermes finishes, Gemini proactively tells me the results are ready, switches context to the Hermes output, helps me review it, and then we return to our normal conversation. That manager/worker flow feels really good. Because I wanted the app to be as hands-free as possible, I also added a camera-based gesture layer using MediaPipe Gesture Recognizer. I can point at Hermes task cards, open details, scroll through results with my hand, and close them using gestures. Small weekend project, but I had a lot of fun building it. Also, the anti-flicker macOS app I vibe-coded yesterday ended up being incredibly useful for this project. It fixed my webcam flickering issue, so I can finally record videos properly. 🙂
1:29

I love Hermes Agent and Gemini Live is also one of my for voice conversation, so over the weekend I built a small vibe-coding project that brings the two together called IRIS. The idea is simple: Gemini Live becomes the conversational interface, while Hermes Agent handles execution, automation, and long-running tasks behind the scenes. I can talk to Gemini naturally, and whenever something needs real work, Gemini formulates the request and hands it off to Hermes. The best part is that the conversation never stops. Gemini keeps talking with me naturally while Hermes works in the background. When Hermes finishes, Gemini proactively tells me the results are ready, switches context to the Hermes output, helps me review it, and then we return to our normal conversation. That manager/worker flow feels really good. Because I wanted the app to be as hands-free as possible, I also added a camera-based gesture layer using MediaPipe Gesture Recognizer. I can point at Hermes task cards, open details, scroll through results with my hand, and close them using gestures. Small weekend project, but I had a lot of fun building it. Also, the anti-flicker macOS app I vibe-coded yesterday ended up being incredibly useful for this project. It fixed my webcam flickering issue, so I can finally record videos properly. 🙂

AshutoshShrivastava

149,739 görüntüleme • 2 ay önce

HERMES AGENT IS NOW IN THE CLOUD. NO VPS. NO TERMINAL. NO SETUP. PICK A MODEL. PICK A SERVER SIZE. AGENT IS LIVE IN 60 SECONDS. Nous Portal just launched hosted Hermes Agent. two clicks. one minute. done. Nous Research WHAT THIS MEANS: before today: install Hermes on a VPS or your laptop. configure providers. set up gateway. manage updates. run hermes setup. edit config.yaml. great for power users. friction for everyone else. now: go to pick a model. pick a server size. your agent is live and reachable in 60 seconds. no terminal. no SSH. no Docker. same Hermes. same features. same tools. someone else handles the infrastructure. FOR TEAMS: this is where it gets interesting. spin up agents for everyone at your org. each team member gets their own Hermes instance. granular access controls per user. unified billing through Nous Portal. your team gets Hermes on day one. no DevOps needed. no VPS per person. one admin dashboard. one bill. WHAT'S INCLUDED: → 300+ models via Nous Portal (Claude, GPT, Gemini, DeepSeek, Grok, MiniMax, and more) → Tool Gateway (web search, image generation, TTS, browser automation) → all messaging platforms (Telegram, Discord, Slack, WhatsApp, Signal) → full feature set (profiles, cron, kanban, skills, memory, sub-agents, MoA, /goal, /learn, /journey) → automatic updates ONE PORTAL. FOUR TIERS: Free: $0/month. pay-as-you-go credits from $10. Plus: $20/month. $22 in monthly usage credit. Super: $100/month. $110 in monthly credit. Ultra: $200/month. $220 in monthly credit. highest rate limits. every paid tier includes Tool Gateway. one OAuth. one subscription. no extra API keys. SELF-HOSTED IS NOT GOING ANYWHERE: Hermes is MIT licensed. open source. free forever. you can still run it on your laptop, VPS, or GPU cluster. nothing changes for self-hosted users. the cloud version is for people who want the agent running without managing the machine. pick your path: → self-hosted: full control. you manage everything. → cloud: zero ops. Nous manages infrastructure. → hybrid: self-host your main agent, cloud for team members. HOW TO START: cloud: self-hosted: hermes setup --portal both connect to the same Nous Portal. same models. same tools. same billing. learn how to replace your entire team with 8 hermes agents 👇
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HERMES AGENT IS NOW IN THE CLOUD. NO VPS. NO TERMINAL. NO SETUP. PICK A MODEL. PICK A SERVER SIZE. AGENT IS LIVE IN 60 SECONDS. Nous Portal just launched hosted Hermes Agent. two clicks. one minute. done. Nous Research WHAT THIS MEANS: before today: install Hermes on a VPS or your laptop. configure providers. set up gateway. manage updates. run hermes setup. edit config.yaml. great for power users. friction for everyone else. now: go to pick a model. pick a server size. your agent is live and reachable in 60 seconds. no terminal. no SSH. no Docker. same Hermes. same features. same tools. someone else handles the infrastructure. FOR TEAMS: this is where it gets interesting. spin up agents for everyone at your org. each team member gets their own Hermes instance. granular access controls per user. unified billing through Nous Portal. your team gets Hermes on day one. no DevOps needed. no VPS per person. one admin dashboard. one bill. WHAT'S INCLUDED: → 300+ models via Nous Portal (Claude, GPT, Gemini, DeepSeek, Grok, MiniMax, and more) → Tool Gateway (web search, image generation, TTS, browser automation) → all messaging platforms (Telegram, Discord, Slack, WhatsApp, Signal) → full feature set (profiles, cron, kanban, skills, memory, sub-agents, MoA, /goal, /learn, /journey) → automatic updates ONE PORTAL. FOUR TIERS: Free: $0/month. pay-as-you-go credits from $10. Plus: $20/month. $22 in monthly usage credit. Super: $100/month. $110 in monthly credit. Ultra: $200/month. $220 in monthly credit. highest rate limits. every paid tier includes Tool Gateway. one OAuth. one subscription. no extra API keys. SELF-HOSTED IS NOT GOING ANYWHERE: Hermes is MIT licensed. open source. free forever. you can still run it on your laptop, VPS, or GPU cluster. nothing changes for self-hosted users. the cloud version is for people who want the agent running without managing the machine. pick your path: → self-hosted: full control. you manage everything. → cloud: zero ops. Nous manages infrastructure. → hybrid: self-host your main agent, cloud for team members. HOW TO START: cloud: self-hosted: hermes setup --portal both connect to the same Nous Portal. same models. same tools. same billing. learn how to replace your entire team with 8 hermes agents 👇

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