Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

HERMES AGENT IS THE MOST POWERFUL OPEN SOURCE AI AGENT FRAMEWORK AVAILABLE RIGHT NOW — AND MOST PEOPLE HAVE NO IDEA HOW TO USE IT PROPERLY. This masterclass fixes that completely. From zero to a fully operational autonomous agent system in one sitting. Installation. Skills. Memory. MCP servers. Scheduler.... show more

CyrilXBT

196,992 subscribers

34,637 просмотров • 5 месяцев назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 25

Фото профиля Shinka - AI

Shinka - AI5 месяцев назад

Most devs are still building fragile prompt chains when they should just give the agent a terminal and let it manage its own memory. ⚡️

Фото профиля Hussain Hashim | Building SundayBack

Hussain Hashim | Building SundayBack5 месяцев назад

@cyrilXBT can't believe how many ppl overlook Hermes. it's like having a superpower just sitting there waiting to be used.

Фото профиля Blum

Blum5 месяцев назад

completely agree, my life changed fundamentally after Hermes came into it

Фото профиля Rohit

Rohit5 месяцев назад

Sounds like a game-changer! Excited to see how this masterclass unlocks its potential for everyone. Let's dive in!

Фото профиля 老拐瘦

老拐瘦5 месяцев назад

我踩过一个很实在的坑：框架越强调 autonomous，越要先把 tool schema、权限边界、失败回收钉死。不然 agent 不是不会做事，是会在错误的事上跑得特别快。先把 3 条黄金路径跑通，比一上来堆 skills 更有用。

Фото профиля supper

supper5 месяцев назад

The multi-agent section is where it gets real. Running 3 agents in parallel for research, coding, and testing feels like having a tiny dev team. Key insight: define clear boundaries or they step on each other.

Фото профиля ganamahesh kumar

ganamahesh kumar5 месяцев назад

Bookmarking this Serious value here

Фото профиля Kai🔺

Kai🔺5 месяцев назад

i'm actually kinda surprised people don't know how to use it properly

Фото профиля Saberin Samarat

Saberin Samarat5 месяцев назад

Awesome share

Фото профиля Laki

Laki5 месяцев назад

Can you use hermes on Mac air m2?

Фото профиля Hybrid 🏃🏾

Hybrid 🏃🏾5 месяцев назад

@eng_khairallah1 And is not even close. Changing to it back in March was the best decision ever

Фото профиля Dieter Kieran

Dieter Kieran5 месяцев назад

fr that hermès agent masterclass is exactly what we needed been so lost trying to set it up

Фото профиля Alpha Batcher

Alpha Batcher5 месяцев назад

Hermes Agent >> without competition

Фото профиля wake up or keep dreaming ? | 醒来还是继续做梦 ?

wake up or keep dreaming ? | 醒来还是继续做梦 ?5 месяцев назад

monday is bold, who's shipping screenshots?

Фото профиля 逸风·666 | 🎒

逸风·666 | 🎒5 месяцев назад

alpha right here, but the monday promise is doing a lot of work

Фото профиля Paulinus J

Paulinus J5 месяцев назад

The gap between running a demo and running it in production is real, hopefully above course helps.

Фото профиля Lea Imas

Lea Imas5 месяцев назад

This is the kind of guide that saves weeks of trial and error

Фото профиля Ares

Ares5 месяцев назад

I just switched to MiMo V2.5 and it's genuinely competing with the big names around. Way cheaper too. Xiaomi's open platform lets you run their full model lineup. Use my code TZ8M32 for $2 in free credits instantly — worth every token 👇

Фото профиля Arlie Babilon

Arlie Babilon5 месяцев назад

Underrated.

Фото профиля Arslan Yousaf

Arslan Yousaf5 месяцев назад

Hermes framework changes everything. Master it.

Фото профиля rewind

rewind5 месяцев назад

open source agents leveling up

Фото профиля Dinh Chung

Dinh Chung5 месяцев назад

本当にすごい！使い方教えてください。次は何を学べるの？

Фото профиля Khairallah AL-Awady

Khairallah AL-Awady5 месяцев назад

this is huge man

Фото профиля Zippy

Zippy5 месяцев назад

curious how many actually deploy it

Фото профиля priya upadhyay

priya upadhyay5 месяцев назад

Building autonomous agent systems with open source frameworks is where the actual leverage is right now. Going to check out this masterclass overview.

Похожие видео

Hermes Agent. Zero to full autonomous operation. One complete course. Installation. Skills. Memory. MCP. Scheduler. Multi-agent. Works while you sleep. The people who build this system will never manually operate a content, research, or business workflow again. The compounding starts from the first automated skill that runs. Read this and bookmark it now.

Hermes Agent. Zero to full autonomous operation. One complete course. Installation. Skills. Memory. MCP. Scheduler. Multi-agent. Works while you sleep. The people who build this system will never manually operate a content, research, or business workflow again. The compounding starts from the first automated skill that runs. Read this and bookmark it now.

CyrilXBT

180,023 просмотров • 5 месяцев назад

Hermes Agent. Zero to full autonomous operation. One complete course. Installation. Skills. Memory. MCP. Scheduler. Multi-agent. Works while you sleep. The people who build this system will never manually operate a content, research, or business workflow again. The compounding starts from the first automated skill that runs. Read this and bookmark it now.

Hermes Agent. Zero to full autonomous operation. One complete course. Installation. Skills. Memory. MCP. Scheduler. Multi-agent. Works while you sleep. The people who build this system will never manually operate a content, research, or business workflow again. The compounding starts from the first automated skill that runs. Read this and bookmark it now.

CyrilXBT

80,960 просмотров • 4 месяцев назад

OBSIDIAN PLUS HERMES AGENT IS THE MOST POWERFUL PERSONAL OPERATING SYSTEM AVAILABLE RIGHT NOW AND ALMOST NOBODY HAS BUILT IT YET. Obsidian holds everything you know permanently. Hermes reads it, reasons across it, and runs your most important workflows automatically. Morning briefs generated from your actual vault. Inbox processed every evening without you touching it. Project health monitored every Monday. Weekly synthesis ready every Sunday. One system. Thinks. Remembers. Runs your life. Read this and Bookmark it now.

OBSIDIAN PLUS HERMES AGENT IS THE MOST POWERFUL PERSONAL OPERATING SYSTEM AVAILABLE RIGHT NOW AND ALMOST NOBODY HAS BUILT IT YET. Obsidian holds everything you know permanently. Hermes reads it, reasons across it, and runs your most important workflows automatically. Morning briefs generated from your actual vault. Inbox processed every evening without you touching it. Project health monitored every Monday. Weekly synthesis ready every Sunday. One system. Thinks. Remembers. Runs your life. Read this and Bookmark it now.

CyrilXBT

122,498 просмотров • 5 месяцев назад

Everyone is talking about Hermes Agent, and for good reason It is the most reliable AI agent on Earth right now A 24/7/365 employee that never crashes If you don't have one set up yet, you're missing out This is your COMPLETE guide to Hermes Agent, from set up to use cases:

Everyone is talking about Hermes Agent, and for good reason It is the most reliable AI agent on Earth right now A 24/7/365 employee that never crashes If you don't have one set up yet, you're missing out This is your COMPLETE guide to Hermes Agent, from set up to use cases:

Alex Finn

82,715 просмотров • 5 месяцев назад

Hermes Agent is the most powerful AI tool right now The issue is, almost nobody knows how to use it properly In this video I show you 6 use cases for Hermes I promise will completely change how you work:

Hermes Agent is the most powerful AI tool right now The issue is, almost nobody knows how to use it properly In this video I show you 6 use cases for Hermes I promise will completely change how you work:

Alex Finn

101,938 просмотров • 5 месяцев назад

This 27 mins video will make you go from zero to a production-ready agent in one session. Memory, vaults, & multi-agent coordination.

This 27 mins video will make you go from zero to a production-ready agent in one session. Memory, vaults, & multi-agent coordination.

0xMarioNawfal

49,351 просмотров • 5 месяцев назад

IBM engineers just released a 40-minute deep dive into “Agent Engineering” for building production-ready AI agents “80% of building an AI agent has nothing to do with the model. It is frameworks, tools, skills and risk controls.” 00:00 - the 5 core concepts behind every AI agent 11:07 - choosing frameworks for tools, memory and orchestration 23:01 - when agents need MCP, skills or both 31:04 - designing AI architecture around real production risk The core stack: Agent → Framework → MCP → Skills → Risk → Production This 40-minute workshop will teach you more about production AI agents than most $500 Agent Engineering courses. Watch it today, then read the full agent engineering playbook in the article below ↓

IBM engineers just released a 40-minute deep dive into “Agent Engineering” for building production-ready AI agents “80% of building an AI agent has nothing to do with the model. It is frameworks, tools, skills and risk controls.” 00:00 - the 5 core concepts behind every AI agent 11:07 - choosing frameworks for tools, memory and orchestration 23:01 - when agents need MCP, skills or both 31:04 - designing AI architecture around real production risk The core stack: Agent → Framework → MCP → Skills → Risk → Production This 40-minute workshop will teach you more about production AI agents than most $500 Agent Engineering courses. Watch it today, then read the full agent engineering playbook in the article below ↓

Morlex

14,597 просмотров • 3 месяцев назад

Google just released a free 2-hour+ course on full agent engineering. How to go from one prompt to a system that runs while you sleep: 38:46 - Build your first AI agent 54:46 - Connect MCP tools 1:12:43 - Run agents with four loop patterns 1:20:57 - Turn agent loops into graphs 2:22:31 - Build the complete autonomous system Most people are still building one agent and stopping there. Google is already teaching the full stack: Agents → Tools → Loops → Graphs → Autonomous Systems Single agents are the old workflow. Systems that run without you are the new one. This course is worth more than most paid agent engineering bootcamps. Bookmark and watch it today Then read the full graph engineering playbook below

Google just released a free 2-hour+ course on full agent engineering. How to go from one prompt to a system that runs while you sleep: 38:46 - Build your first AI agent 54:46 - Connect MCP tools 1:12:43 - Run agents with four loop patterns 1:20:57 - Turn agent loops into graphs 2:22:31 - Build the complete autonomous system Most people are still building one agent and stopping there. Google is already teaching the full stack: Agents → Tools → Loops → Graphs → Autonomous Systems Single agents are the old workflow. Systems that run without you are the new one. This course is worth more than most paid agent engineering bootcamps. Bookmark and watch it today Then read the full graph engineering playbook below

Lunar

198,150 просмотров • 3 месяцев назад

Codex is not just a coding agent anymore. It is becoming a skill-based operating system. Most people still ask it to “build the app”. Better builders give it specialised skills: frontend design browser automation market research lead research Figma implementation copywriting customer research cold email content strategy That is the real shift. One agent with no skills guesses. One agent with the right skills follows a process. The next advantage is not who writes the longest prompt. It is who builds the best toolbelt around the agent. Stop starting every task from zero. Give Codex the skills for the job. Bookmark this before you ask a general agent to do specialist work again.

Codex is not just a coding agent anymore. It is becoming a skill-based operating system. Most people still ask it to “build the app”. Better builders give it specialised skills: frontend design browser automation market research lead research Figma implementation copywriting customer research cold email content strategy That is the real shift. One agent with no skills guesses. One agent with the right skills follows a process. The next advantage is not who writes the longest prompt. It is who builds the best toolbelt around the agent. Stop starting every task from zero. Give Codex the skills for the job. Bookmark this before you ask a general agent to do specialist work again.

Fluixo

26,556 просмотров • 4 месяцев назад

Anthropic's Claude Ai Agents Team just Educated how to build production AI agents in under 30 mins. For Free. From the engineers who built the stack. CANCEL Your Weekend Plans, and Learn to Build AI Agents Today. Bookmark it. Watch it. Build your first production agent this weekend. $5,000/month. $7,000/month. $12,000/month. People are building agents for clients and charging $$$ as Beginners. You're still stuck in the thinking about AI phase. This video fixes that tonight. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward. ↓ Ivan Nardini runs Developer Relations for AI at Google Cloud. He just gave away the entire production agent stack in 30 minutes. This is the talk that separates people deploying AI agents that actually scale from people whose agents break the moment they leave localhost. Here's everything inside. I break down a production AI video like this every week. Follow Himanshu Kumar. ↓ The 4-part agent stack that actually scales. Most devs are duct-taping frameworks together and calling it an "AI agent." Ivan lays out the real stack: Agent Development Kit (ADK): open-source, code-first framework for building, evaluating, and deploying agents. Supports Claude models through Vertex AI directly. Model Context Protocol (MCP): lets your agent talk to any tool or data source with one standard. Vertex AI Agent Engine: managed platform for deploying, monitoring, and scaling agents in production. No DevOps headaches. Agent-to-Agent Protocol: open protocol so agents built on different frameworks can actually work together. This is the stack replacing every hacky agent setup in production right now. Full MCP + Claude breakdowns drop weekly on Himanshu Kumar. ↓ Building your first real agent. Ivan builds a birthday planner agent live. LLM Agent class. Name it. Define instructions. Pick the model. He uses Claude 3.7 Sonnet. You could use Opus 4.7 for better reasoning. Full agent built in minutes. Not weeks. Watch the build once and you'll never structure an agent the wrong way again. I post agent architectures people pay $500 courses to learn. Himanshu Kumar. ↓ Multi-agent systems without the chaos. Single agents are easy. Multi-agent systems are where 99% of builders fail. Ivan extends the birthday planner by: Adding a calendar service through MCP tools Creating an orchestrator agent to route requests between agents Handling state and context across agent handoffs This is production multi-agent architecture. Clean. Scalable. Debuggable. Most tutorials hand-wave this part. This one shows you every step. Multi-agent orchestration content drops weekly on Himanshu Kumar. ↓ Deployment without the DevOps nightmare. This is where most AI projects die. You build a cool agent locally. It works. You try to deploy it. Everything breaks. Vertex AI Agent Engine fixes this: Minimal code deployment Automatic monitoring of latency, CPU, and memory Built-in observability and logging No infrastructure setup needed You provide config and requirements. The platform handles the rest. This is how agents actually get to production. Deployment guides for Claude agents post every week. Himanshu Kumar. ↓ Agent-to-Agent Protocol: the future nobody's talking about. Most people don't know this exists yet. The A2A Protocol lets agents built in different frameworks communicate seamlessly. Your Claude agent. My LangChain agent. Someone else's CrewAI agent. All talking to each other. All solving parts of the same problem. All without custom integration code. This is the infrastructure layer of the coming AI economy. Getting in early on A2A Protocol is like getting in early on HTTP in 1995. A2A deep dive coming soon. Himanshu Kumar. ↓ 30 minutes from the team shipping this in production. You'll learn more from this than from 6 months of YouTube tutorials made by people who've never deployed an agent past localhost. People who watch this understand production AI agents at the architect level. People who skip it keep hacking together frameworks that break every time an API updates. Save the video. Watch it tonight. Build a real agent this weekend. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward.

Anthropic's Claude Ai Agents Team just Educated how to build production AI agents in under 30 mins. For Free. From the engineers who built the stack. CANCEL Your Weekend Plans, and Learn to Build AI Agents Today. Bookmark it. Watch it. Build your first production agent this weekend. $5,000/month. $7,000/month. $12,000/month. People are building agents for clients and charging $$$ as Beginners. You're still stuck in the thinking about AI phase. This video fixes that tonight. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward. ↓ Ivan Nardini runs Developer Relations for AI at Google Cloud. He just gave away the entire production agent stack in 30 minutes. This is the talk that separates people deploying AI agents that actually scale from people whose agents break the moment they leave localhost. Here's everything inside. I break down a production AI video like this every week. Follow Himanshu Kumar. ↓ The 4-part agent stack that actually scales. Most devs are duct-taping frameworks together and calling it an "AI agent." Ivan lays out the real stack: Agent Development Kit (ADK): open-source, code-first framework for building, evaluating, and deploying agents. Supports Claude models through Vertex AI directly. Model Context Protocol (MCP): lets your agent talk to any tool or data source with one standard. Vertex AI Agent Engine: managed platform for deploying, monitoring, and scaling agents in production. No DevOps headaches. Agent-to-Agent Protocol: open protocol so agents built on different frameworks can actually work together. This is the stack replacing every hacky agent setup in production right now. Full MCP + Claude breakdowns drop weekly on Himanshu Kumar. ↓ Building your first real agent. Ivan builds a birthday planner agent live. LLM Agent class. Name it. Define instructions. Pick the model. He uses Claude 3.7 Sonnet. You could use Opus 4.7 for better reasoning. Full agent built in minutes. Not weeks. Watch the build once and you'll never structure an agent the wrong way again. I post agent architectures people pay $500 courses to learn. Himanshu Kumar. ↓ Multi-agent systems without the chaos. Single agents are easy. Multi-agent systems are where 99% of builders fail. Ivan extends the birthday planner by: Adding a calendar service through MCP tools Creating an orchestrator agent to route requests between agents Handling state and context across agent handoffs This is production multi-agent architecture. Clean. Scalable. Debuggable. Most tutorials hand-wave this part. This one shows you every step. Multi-agent orchestration content drops weekly on Himanshu Kumar. ↓ Deployment without the DevOps nightmare. This is where most AI projects die. You build a cool agent locally. It works. You try to deploy it. Everything breaks. Vertex AI Agent Engine fixes this: Minimal code deployment Automatic monitoring of latency, CPU, and memory Built-in observability and logging No infrastructure setup needed You provide config and requirements. The platform handles the rest. This is how agents actually get to production. Deployment guides for Claude agents post every week. Himanshu Kumar. ↓ Agent-to-Agent Protocol: the future nobody's talking about. Most people don't know this exists yet. The A2A Protocol lets agents built in different frameworks communicate seamlessly. Your Claude agent. My LangChain agent. Someone else's CrewAI agent. All talking to each other. All solving parts of the same problem. All without custom integration code. This is the infrastructure layer of the coming AI economy. Getting in early on A2A Protocol is like getting in early on HTTP in 1995. A2A deep dive coming soon. Himanshu Kumar. ↓ 30 minutes from the team shipping this in production. You'll learn more from this than from 6 months of YouTube tutorials made by people who've never deployed an agent past localhost. People who watch this understand production AI agents at the architect level. People who skip it keep hacking together frameworks that break every time an API updates. Save the video. Watch it tonight. Build a real agent this weekend. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward.

Himanshu Kumar

229,948 просмотров • 6 месяцев назад

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents running inside one graph: 17:44 - Build your first AI agent 39:30 - Run agents with loop engineering 1:12:38 - Turn agent loops into graphs 1:34:26 - Build agents that throttle themselves 1:55:05 - Orchestrate the full multi-agent system Most people build one agent and stop there. Google is teaching the full stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow. Self-regulating agent graphs are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read the full architecture below ↓

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents running inside one graph: 17:44 - Build your first AI agent 39:30 - Run agents with loop engineering 1:12:38 - Turn agent loops into graphs 1:34:26 - Build agents that throttle themselves 1:55:05 - Orchestrate the full multi-agent system Most people build one agent and stop there. Google is teaching the full stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow. Self-regulating agent graphs are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read the full architecture below ↓

Lunar

404,488 просмотров • 2 месяцев назад

IF YOU HAVE BEEN HOLDING OFF ON HERMES AGENT BECAUSE OF API COSTS, READ THIS FIRST. Four real ways to run it for free. Local, through Ollama, complete privacy and no rate limits. Cloud, through free tiers from Groq, OpenRouter, or NVIDIA NIM, no card required. A subscription you already have, GitHub Copilot connects natively. A fallback configuration so a rate limit on one provider does not stop your whole session. Hermes Agent is free and open source. Now there is no excuse on the model side either. Bookmark this. Follow CyrilXBT

IF YOU HAVE BEEN HOLDING OFF ON HERMES AGENT BECAUSE OF API COSTS, READ THIS FIRST. Four real ways to run it for free. Local, through Ollama, complete privacy and no rate limits. Cloud, through free tiers from Groq, OpenRouter, or NVIDIA NIM, no card required. A subscription you already have, GitHub Copilot connects natively. A fallback configuration so a rate limit on one provider does not stop your whole session. Hermes Agent is free and open source. Now there is no excuse on the model side either. Bookmark this. Follow CyrilXBT

CyrilXBT

28,802 просмотров • 4 месяцев назад

Hermes Agent just passed OpenClaw as the most-used open agent on OpenRouter. It writes its own skills from experience and remembers every session. New to it? Watch the 5-min explainer, then read this guide to run your own. Best hour you’ll spend on agents this month.

Hermes Agent just passed OpenClaw as the most-used open agent on OpenRouter. It writes its own skills from experience and remembers every session. New to it? Watch the 5-min explainer, then read this guide to run your own. Best hour you’ll spend on agents this month.

Rohit

36,361 просмотров • 5 месяцев назад

Meet Hermes Agent, the open source agent that grows with you. Hermes Agent remembers what it learns and gets more capable over time, with a multi-level memory system and persistent dedicated machine access.

Meet Hermes Agent, the open source agent that grows with you. Hermes Agent remembers what it learns and gets more capable over time, with a multi-level memory system and persistent dedicated machine access.

Nous Research

3,986,397 просмотров • 8 месяцев назад

Anthropic senior engineer just released 2-hour course on full agent engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 0% → 00:36 - build first agent from one prompt 30% → 44:56 - agent teams: scale 1 agent into 100 75% → 1:26:36 - loop engineering: skills → hooks → MCP 100% → 1:52:42 - graph engineering: full agent system most people build 1 agent and stop there - this is the full path to a 24/7 system from scratch watch this best course on agents - then read the full graph engineering architecture below ↓

Anthropic senior engineer just released 2-hour course on full agent engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 0% → 00:36 - build first agent from one prompt 30% → 44:56 - agent teams: scale 1 agent into 100 75% → 1:26:36 - loop engineering: skills → hooks → MCP 100% → 1:52:42 - graph engineering: full agent system most people build 1 agent and stop there - this is the full path to a 24/7 system from scratch watch this best course on agents - then read the full graph engineering architecture below ↓

codila

56,001 просмотров • 1 месяц назад

Google just released a free 2-hour course On going from one prompt to a complete multi-agent graph: 17:44 - Build your first AI agent 39:30 - Create self-improving agent loops 1:12:38 - Connect those loops into graphs 1:34:26 - Make agents regulate themselves 1:55:05 - Orchestrate the full multi-agent system Most people are still building one agent and stopping there Google is teaching the entire stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow Self-regulating agent graphs are the new one This free 2-hour course is worth more than most paid agent engineering programs Bookmark and watch it today Then read the full architecture below ↓

Google just released a free 2-hour course On going from one prompt to a complete multi-agent graph: 17:44 - Build your first AI agent 39:30 - Create self-improving agent loops 1:12:38 - Connect those loops into graphs 1:34:26 - Make agents regulate themselves 1:55:05 - Orchestrate the full multi-agent system Most people are still building one agent and stopping there Google is teaching the entire stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow Self-regulating agent graphs are the new one This free 2-hour course is worth more than most paid agent engineering programs Bookmark and watch it today Then read the full architecture below ↓

rari🈀

43,460 просмотров • 2 месяцев назад

HERMES AGENT JUST GOT A FULL NATIVE DESKTOP APP. MULTI-AGENT MANAGEMENT, PERSISTENT MEMORY AND AUTONOMOUS WORKFLOWS ALL IN ONE PLACE. No more CLI only. Run your 24/7 self-evolving AI agent from a proper desktop UI.

HERMES AGENT JUST GOT A FULL NATIVE DESKTOP APP. MULTI-AGENT MANAGEMENT, PERSISTENT MEMORY AND AUTONOMOUS WORKFLOWS ALL IN ONE PLACE. No more CLI only. Run your 24/7 self-evolving AI agent from a proper desktop UI.

0xMarioNawfal

189,757 просмотров • 5 месяцев назад

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents running inside a single graph: 0% → 17:44 - build your first AI agent 25% → 39:30 - run agents with loop engineering 50% → 1:12:38 - turn agent loops into graphs 75% → 1:34:26 - build agents that regulate themselves 100% → 1:55:05 - orchestrate the entire multi-agent system Most people build one agent and stop there. Google is teaching the entire stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow. Self-regulating agent graphs are the next one. This 2-hour course is worth more than most paid agent engineering courses. Bookmark it and watch today Then read the full architecture below ↓

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents running inside a single graph: 0% → 17:44 - build your first AI agent 25% → 39:30 - run agents with loop engineering 50% → 1:12:38 - turn agent loops into graphs 75% → 1:34:26 - build agents that regulate themselves 100% → 1:55:05 - orchestrate the entire multi-agent system Most people build one agent and stop there. Google is teaching the entire stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow. Self-regulating agent graphs are the next one. This 2-hour course is worth more than most paid agent engineering courses. Bookmark it and watch today Then read the full architecture below ↓

Lunar

12,509 просмотров • 1 месяц назад

Over 90,000 Skills sitting inside Hermes Desktop is kind of insane!!!🤯 Did you know Hermes Desktop has a built-in Skills Hub with more than 90,000 Skills you can browse and add to an agent? And you can do it right from Desktop. Go to: Capabilities → Skills From there, open the Skills Hub under your installed Skills. You can: • search the catalog • browse by category or source • open any Skill to read what it does • review platform support, author, version, requirements, and docs • click + Add to this Agent to install it directly to the agent/profile you have selected That means if you want Hermes to get better at a specific type of work, you do not have to go hunting through repos or memorize install commands first. Just open the Hub, look through the catalog, inspect the Skill, and add it with one click. A lot of users still have no idea this is sitting inside Hermes Desktop.

Hermes Release Watch

68,830 просмотров • 2 месяцев назад

Big one for the Hermes Agent community. TinyFish is now a plugin in the Nous Research Hermes Agent. Your Hermes agent gets free Search and Fetch, so it can find and read the live web at $0. When a task needs real clicks, TinyFish Browser and Web Agent are one approval away.

Big one for the Hermes Agent community. TinyFish is now a plugin in the Nous Research Hermes Agent. Your Hermes agent gets free Search and Fetch, so it can find and read the live web at $0. When a task needs real clicks, TinyFish Browser and Web Agent are one approval away.

TinyFish

48,494 просмотров • 22 дней назад