Loading video...

Video Failed to Load

Go Home

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

RoundtableSpace's profile picture

0xMarioNawfal

257,746 subscribers

49,351 views • 3 months ago •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

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. Multi-agent operations. Every section builds on the previous one. The people who read this this weekend will have a production-ready autonomous agent operation running by Monday. Read this and bookmark it now.
1:05

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. Multi-agent operations. Every section builds on the previous one. The people who read this this weekend will have a production-ready autonomous agent operation running by Monday. Read this and bookmark it now.

CyrilXBT

34,628 views • 3 months ago

Ship a new eve agent in one minute. From 1. Add a prompt 2. Pick models & MCP connections 3. Deploy Your agent is in production, ready to chat, backed by a Git repo you own.
0:24

Ship a new eve agent in one minute. From 1. Add a prompt 2. Pick models & MCP connections 3. Deploy Your agent is in production, ready to chat, backed by a Git repo you own.

Vercel

139,728 views • 18 days ago

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.
0:38

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

176,900 views • 3 months ago

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.
0:38

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

80,822 views • 3 months ago

Create a WhatsApp scheduling AI Agent. Connected to Google Calendar. From zero to live in 2 mins.
1:57

Create a WhatsApp scheduling AI Agent. Connected to Google Calendar. From zero to live in 2 mins.

Andrés Matte

122,982 views • 8 months ago

Build your own WhatsApp AI agent. From zero to production in 2 minutes.
1:42

Build your own WhatsApp AI agent. From zero to production in 2 minutes.

Andrés Matte

145,777 views • 8 months ago

Google Firebase Studio is insanely good! I just built a multi-agent legal team from a single text prompt without writing a single line of Code. A full stack multi-agent app ready to deploy in less than 30 mins. And it's available for free in preview. Crazy!!
0:50

Google Firebase Studio is insanely good! I just built a multi-agent legal team from a single text prompt without writing a single line of Code. A full stack multi-agent app ready to deploy in less than 30 mins. And it's available for free in preview. Crazy!!

Shubham Saboo

42,307 views • 1 year ago

Move from idea to production-ready agents in hours with the updated ADK and our AI-native coding skills. Use Agent Studio to convert prompts into functional agents, or leverage Agent Garden's pre-built blueprints to jumpstart your multi-agent systems →
1:09

Move from idea to production-ready agents in hours with the updated ADK and our AI-native coding skills. Use Agent Studio to convert prompts into functional agents, or leverage Agent Garden's pre-built blueprints to jumpstart your multi-agent systems →

Google Cloud Tech

22,545 views • 4 months ago

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.
0:34

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

189,401 views • 3 months ago

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:
1:32

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:

Nous Research

1,463,193 views • 4 months ago

Agent Zero really changed the game... But most people don't know how to use it In these 28 mins, you'll learn everything you need to know about Agent Zero
28:16

Agent Zero really changed the game... But most people don't know how to use it In these 28 mins, you'll learn everything you need to know about Agent Zero

David Ondrej

17,011 views • 7 months ago

Finally, we've redesigned the Console session viewer for multi-agent sessions. It now has a minimap with one lane per agent, a streaming transcript grouped by agent iteration, and an inspector with cost in dollars per thread and per session. Live now:
0:36

Finally, we've redesigned the Console session viewer for multi-agent sessions. It now has a minimap with one lane per agent, a streaming transcript grouped by agent iteration, and an inspector with cost in dollars per thread and per session. Live now:

ClaudeDevs

54,506 views • 27 days ago

today we're launching the AI agent stack we built that rocketed us to a $3m AI agent consultancy. we're calling it AgentPress, and it allows you to build production grade AI agents in minutes. here's a video of me creating a sales Q&A agent
11:34

today we're launching the AI agent stack we built that rocketed us to a $3m AI agent consultancy. we're calling it AgentPress, and it allows you to build production grade AI agents in minutes. here's a video of me creating a sales Q&A agent

Andy Walters

207,327 views • 1 year ago

10 GitHub repos with ⭐ 1.2M+ combined stars that help you build your AI agent from scratch 1. n8n 201k⭐ - visual agent builder with 400+ integrations. Wire up multi-step AI workflows without writing a backend. 2. Hermes Agent 231k⭐ - the fastest-growing open-source agent framework of 2026. Self-improving skill loop, persistent memory across sessions. 3. Dify 152k⭐ - visual builder for agentic workflows and RAG pipelines, production-ready out of the box. 4. LangChain 144k⭐ - the standard framework for LLM apps. Chains, agents, retrieval, all in one place. 5. MetaGPT 70k⭐ - simulates an entire software company. PM, architect, engineer agents that build your app together. 6. AutoGen 60k⭐ - Microsoft's framework for multi-agent conversations and coordination. 7. OpenCode 198k⭐ - terminal coding agent, provider-agnostic across 75+ models. The go-to harness for agentic coding in 2026. 8. LlamaIndex 52k⭐ - connects your agents to your actual data. Indexing and retrieval done right. 9. CrewAI 57k⭐ - role-based crews of agents. Reads almost like plain English, no graph to learn. 10. LangGraph 40k⭐ - graph-based orchestration when you need precise control over agent state in production. Save this before you pay for another agent-building course 👇
1:08

10 GitHub repos with ⭐ 1.2M+ combined stars that help you build your AI agent from scratch 1. n8n 201k⭐ - visual agent builder with 400+ integrations. Wire up multi-step AI workflows without writing a backend. 2. Hermes Agent 231k⭐ - the fastest-growing open-source agent framework of 2026. Self-improving skill loop, persistent memory across sessions. 3. Dify 152k⭐ - visual builder for agentic workflows and RAG pipelines, production-ready out of the box. 4. LangChain 144k⭐ - the standard framework for LLM apps. Chains, agents, retrieval, all in one place. 5. MetaGPT 70k⭐ - simulates an entire software company. PM, architect, engineer agents that build your app together. 6. AutoGen 60k⭐ - Microsoft's framework for multi-agent conversations and coordination. 7. OpenCode 198k⭐ - terminal coding agent, provider-agnostic across 75+ models. The go-to harness for agentic coding in 2026. 8. LlamaIndex 52k⭐ - connects your agents to your actual data. Indexing and retrieval done right. 9. CrewAI 57k⭐ - role-based crews of agents. Reads almost like plain English, no graph to learn. 10. LangGraph 40k⭐ - graph-based orchestration when you need precise control over agent state in production. Save this before you pay for another agent-building course 👇

unicode

30,511 views • 1 month ago

⚒️ How to build an AI agent with persistent memory? Watch Shaw (spirit/acc) building an agent from scratch with elizaOS & showing how external, queryable memory based on OriginTrail gives agents context and extends their memory beyond a single session. 02:15 – Set up your first agent 08:55 – Initializing runtime & memory foundations 12:50 – Wiring message handling & agent memory 24:45 – Persistent conversational memory in action 38:00 – Extending agents with plugins
1:05:27

⚒️ How to build an AI agent with persistent memory? Watch Shaw (spirit/acc) building an agent from scratch with elizaOS & showing how external, queryable memory based on OriginTrail gives agents context and extends their memory beyond a single session. 02:15 – Set up your first agent 08:55 – Initializing runtime & memory foundations 12:50 – Wiring message handling & agent memory 24:45 – Persistent conversational memory in action 38:00 – Extending agents with plugins

OriginTrail

37,242 views • 7 months ago

Open Agent Internet. 2026 Global Pizza Party Seoul Edition. In 2026, agents are starting to: 💙 maintain persistent, verifiable multi-agent cooperation AI memory via Membase 💙 coordinate multi-agent workflows via AIP 2.0 💙 pay autonomously via Unibase Pay & x402 💙 build callable, verifiable ERC-8183 services via BitAgent Last night felt like leaked footage from the agent future 🤖🍕 Pizza boxes became tiny Unibase memory layers: community signatures, cute wishes and maximum agent vibe. Every memory from last night, now Membase verified. Locked in forever.
0:27

Open Agent Internet. 2026 Global Pizza Party Seoul Edition. In 2026, agents are starting to: 💙 maintain persistent, verifiable multi-agent cooperation AI memory via Membase 💙 coordinate multi-agent workflows via AIP 2.0 💙 pay autonomously via Unibase Pay & x402 💙 build callable, verifiable ERC-8183 services via BitAgent Last night felt like leaked footage from the agent future 🤖🍕 Pizza boxes became tiny Unibase memory layers: community signatures, cute wishes and maximum agent vibe. Every memory from last night, now Membase verified. Locked in forever.

Unibase

16,241 views • 3 months ago

🚀 Say hello to the new & improved phidata 🚀 Build, ship, and monitor Agents with blazing-fast memory, knowledge, tools & reasoning 🔥 ⚡️ 70% faster memory & knowledge 🛠 100+ tools 🧠 Reasoning Agents 🤝 Multi-agent collaboration 📊 Built-in monitoring and Agent UI
0:34

🚀 Say hello to the new & improved phidata 🚀 Build, ship, and monitor Agents with blazing-fast memory, knowledge, tools & reasoning 🔥 ⚡️ 70% faster memory & knowledge 🛠 100+ tools 🧠 Reasoning Agents 🤝 Multi-agent collaboration 📊 Built-in monitoring and Agent UI

Ashpreet Bedi

114,568 views • 1 year ago

LOVE was made entirely inside invideo. Not with one agent. I built a multi-agent system — a director, and around it casting, locations, storyboard, then one agent per main scene, all working at the same time. In the breakdown I go through the things that struck me most: — Expert agents talking to each other — Infinite memory — Slate editor — And a Project Analyst at the end, interviewing every other agent on what to change next time There's a lot more to say. I'll take it one thing at a time in the next posts. Invideo Agent Two isn't just an agent. It's a collaborator you shape into what you need. Full breakdown ↓
5:39

LOVE was made entirely inside invideo. Not with one agent. I built a multi-agent system — a director, and around it casting, locations, storyboard, then one agent per main scene, all working at the same time. In the breakdown I go through the things that struck me most: — Expert agents talking to each other — Infinite memory — Slate editor — And a Project Analyst at the end, interviewing every other agent on what to change next time There's a lot more to say. I'll take it one thing at a time in the next posts. Invideo Agent Two isn't just an agent. It's a collaborator you shape into what you need. Full breakdown ↓

Marco "Shikoba" Riccetti

14,813 views • 1 month ago

Why have one AI agent handle everything when you can build a team? 🤝 Multi-agent architecture allows a main agent to spin up specialized sub-agents and handle complex tasks in parallel - making workflows faster and more efficient inside Google AI Studio. Check out the full I/O session: 🧵👇
1:04

Why have one AI agent handle everything when you can build a team? 🤝 Multi-agent architecture allows a main agent to spin up specialized sub-agents and handle complex tasks in parallel - making workflows faster and more efficient inside Google AI Studio. Check out the full I/O session: 🧵👇

Google for Developers

12,456 views • 3 months ago