Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Opus 5.5 makes this AI stack look f…cking illegal 10 GitHub repos for building everything around the model 01 zen-mcp-server ▸ → your agent debates Gemini, GPT and local models mid-task 02 claude-context ▸ → semantic code search so the agent stops grepping blind 03 wshobson/agents ▸ → a...

0x_rody's profile picture

rody

3,801 subscribers

11,358 Aufrufe • vor 17 Stunden •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

6 Kommentare

Profilbild von The Bone Admiral
The Bone Admiralvor 14 Stunden

Absolutely illegal.

Profilbild von Moysha
Moyshavor 16 Stunden

The SDK is just one layer

Profilbild von 𖥧 sophie ᯓ★
𖥧 sophie ᯓ★vor 8 Stunden

zen-mcp-server is the sleeper here, watching gpt and gemini argue mid-task is genuinely funny the first time

Profilbild von Issa
Issavor 11 Stunden

Interesting collection of projects; any concerns about their compliance?

Profilbild von catman
catmanvor 16 Stunden

A dependable agent stack is like a workshop: the model is one tool, while shared instructions, task state, safety checks, and review keep the work from going off track.

Profilbild von Atlas
Atlasvor 10 Stunden

this is the stack shift we’re seeing too. the model is becoming just one component, the real advantage comes from everything around it.

Ähnliche Videos

Martin Keen from IBM just explained the debate that's splitting Claude and AI agent developers in half CLI vs MCP - and the answer will save you thousands of tokens > GitHub MCP server loads 80 tools into context = 55,000 tokens before your agent does anything > CLI: agent already knows grep, cat, git cold from training data > MCP wins when Claude needs to render a JavaScript page - curl can't do that, MCP browser server can in 250 tokens > MCP wins for Slack, Notion, databases - OAuth handled by the server, not the agent the rule: use CLI when commands map directly to the job, use MCP when the abstraction earns its cost full breakdown above
13:25

Martin Keen from IBM just explained the debate that's splitting Claude and AI agent developers in half CLI vs MCP - and the answer will save you thousands of tokens > GitHub MCP server loads 80 tools into context = 55,000 tokens before your agent does anything > CLI: agent already knows grep, cat, git cold from training data > MCP wins when Claude needs to render a JavaScript page - curl can't do that, MCP browser server can in 250 tokens > MCP wins for Slack, Notion, databases - OAuth handled by the server, not the agent the rule: use CLI when commands map directly to the job, use MCP when the abstraction earns its cost full breakdown above

Mr. Buzzoni

40,771 Aufrufe • vor 4 Monaten

Introducing the context course: a free course on doing ML with agent context. You will learn how to train models, optimize inferences, and build datasets, all by defining harness context with`SKILLS.md`, Plugins, MCP, Subagents, and Hooks. The course includes: - Weekly live AMA on YouTube - Weekly practical projects for ML with context - Instructions in Pi, Codex, Claude, and Opencode - Tutorials and guides on fundamentals - Interactive Quizzes Learn to give AI agents the right knowledge, tools, and structure to actually get work done. Skills, MCP servers, plugins, multi-agent workflows, and building an agent from scratch. Join here:
0:30

Introducing the context course: a free course on doing ML with agent context. You will learn how to train models, optimize inferences, and build datasets, all by defining harness context with`SKILLS.md`, Plugins, MCP, Subagents, and Hooks. The course includes: - Weekly live AMA on YouTube - Weekly practical projects for ML with context - Instructions in Pi, Codex, Claude, and Opencode - Tutorials and guides on fundamentals - Interactive Quizzes Learn to give AI agents the right knowledge, tools, and structure to actually get work done. Skills, MCP servers, plugins, multi-agent workflows, and building an agent from scratch. Join here:

Ben Burtenshaw

16,905 Aufrufe • vor 4 Monaten

Support for Agent Plugins is live in Cursor (and I made a plugin for searching X!) Agent Plugins combine Skills and MCP servers into a single package Think about them like an Ikea furniture kit: your table comes with instructions, parts, and tools. You use the instructions to understand how things work (which tools on which parts), then use the tools to assemble your furniture Agent Plugins are bundles of tools & resources that allow agents to accomplish a goal: - MCP servers: fixed context and tools - Skills: dynamic instructions, loaded progressively Plugins bundle tools and instructions so your agent is able to use tokens efficiently Many of us already use MCP servers and skills together - Agent Plugins formalize this pattern for more powerful workflows I'm excited to see where the standard takes us!
0:24

Support for Agent Plugins is live in Cursor (and I made a plugin for searching X!) Agent Plugins combine Skills and MCP servers into a single package Think about them like an Ikea furniture kit: your table comes with instructions, parts, and tools. You use the instructions to understand how things work (which tools on which parts), then use the tools to assemble your furniture Agent Plugins are bundles of tools & resources that allow agents to accomplish a goal: - MCP servers: fixed context and tools - Skills: dynamic instructions, loaded progressively Plugins bundle tools and instructions so your agent is able to use tokens efficiently Many of us already use MCP servers and skills together - Agent Plugins formalize this pattern for more powerful workflows I'm excited to see where the standard takes us!

matt palmer

40,657 Aufrufe • vor 1 Monat

Introducing the first agent-to-agent code review solution: Qodo’s Agentic Toolbox. Get full codebase context, your coding rules, and AI code review, brought directly to your coding agent. Available now for Claude Code, OpenAI’s Codex, and Kiro, with support for any MCP-compatible client.
0:51

Introducing the first agent-to-agent code review solution: Qodo’s Agentic Toolbox. Get full codebase context, your coding rules, and AI code review, brought directly to your coding agent. Available now for Claude Code, OpenAI’s Codex, and Kiro, with support for any MCP-compatible client.

Qodo

49,613 Aufrufe • vor 21 Tagen

Extensions now support Agent Skills and Hooks! 🛠️ Gemini CLI extensions let you bundle up: 🎓- Agent Skills 🪝- Hooks 🔌- MCP servers 📝- Context files 🧑‍💻- Custom commands Install one of the 300+ extensions that are live today or build your own.
0:44

Extensions now support Agent Skills and Hooks! 🛠️ Gemini CLI extensions let you bundle up: 🎓- Agent Skills 🪝- Hooks 🔌- MCP servers 📝- Context files 🧑‍💻- Custom commands Install one of the 300+ extensions that are live today or build your own.

Gemini CLI

170,078 Aufrufe • vor 8 Monaten

New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:
1:48

New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:

Andrew Ng

82,067 Aufrufe • vor 1 Jahr

A deep dive on the Claude Agent SDK - everything you need to know about deployment 00:00 Intro 01:08 The agent loop 03:23 Core primitives 05:30 Tools vs MCP vs skills 07:08 Context windows 10:47 Building on Replit 15:17 Creating a Todoist agent 22:06 Debugging 28:23 Deployment
30:44

A deep dive on the Claude Agent SDK - everything you need to know about deployment 00:00 Intro 01:08 The agent loop 03:23 Core primitives 05:30 Tools vs MCP vs skills 07:08 Context windows 10:47 Building on Replit 15:17 Creating a Todoist agent 22:06 Debugging 28:23 Deployment

matt palmer

29,402 Aufrufe • vor 7 Monaten

got Claude Agent SDK working in Cloudflare Developers containers and built my own code fixer agent, check it out!👇 uses the github mcp/git cli/skills to clone the repo, understand, make the fix, and open a pr when done. planning on more agents focused on non-code tasks 👀
1:01

got Claude Agent SDK working in Cloudflare Developers containers and built my own code fixer agent, check it out!👇 uses the github mcp/git cli/skills to clone the repo, understand, make the fix, and open a pr when done. planning on more agents focused on non-code tasks 👀

Thomas Gauvin

18,454 Aufrufe • vor 8 Monaten

5 GitHub repos with ⭐50K+ combined stars that show how far people are pushing Claude Code beyond a single coding agent 1) instructkr/claude-code 2.3K⭐ -> a research snapshot of Claude Code’s source with the internals exposed for inspection. [ ] 2) codeaashu/claude-code 3.2K⭐ -> another reconstructed Claude Code codebase built for studying how the agent works under the hood, including tools, prompts, MCP. [ ] 3) Donchitos/Claude-Code-Game-Studios 20K+⭐ -> turns one Claude Code session into a game development studio with 49 specialized agents, 73 skills, 12 hooks, 11 rules and 41 templates. [ ] 4) VoltAgent/awesome-claude-code-subagents 24K+⭐ -> 154 specialized Claude Code subagents split across 10 categories. [ ] 5) tanbiralam/claude-code 2.2K⭐ -> a research-oriented Claude Code source reconstruction for inspecting the terminal agent architecture, plugins, tools and internal implementation. [ ] Save these if you want to understand what people are actually building around Claude Code instead of just using the default CLI.
0:53

5 GitHub repos with ⭐50K+ combined stars that show how far people are pushing Claude Code beyond a single coding agent 1) instructkr/claude-code 2.3K⭐ -> a research snapshot of Claude Code’s source with the internals exposed for inspection. [ ] 2) codeaashu/claude-code 3.2K⭐ -> another reconstructed Claude Code codebase built for studying how the agent works under the hood, including tools, prompts, MCP. [ ] 3) Donchitos/Claude-Code-Game-Studios 20K+⭐ -> turns one Claude Code session into a game development studio with 49 specialized agents, 73 skills, 12 hooks, 11 rules and 41 templates. [ ] 4) VoltAgent/awesome-claude-code-subagents 24K+⭐ -> 154 specialized Claude Code subagents split across 10 categories. [ ] 5) tanbiralam/claude-code 2.2K⭐ -> a research-oriented Claude Code source reconstruction for inspecting the terminal agent architecture, plugins, tools and internal implementation. [ ] Save these if you want to understand what people are actually building around Claude Code instead of just using the default CLI.

Lummox

12,775 Aufrufe • vor 1 Monat

Subagents have arrived in Gemini CLI! 🤖🚀 Create your own custom subagents in Gemini CLI! Subagents are specialized, expert agents that the main agent can delegate work to. 📦- Subagents have their own set of tools, MCP servers, system instructions, and context window. 🏷️- Use Agent to explicitly delegate to a subagent 🧹- Keeps the main context window clean ⚡️- Speed up work by running agents in parallel Read more in the launch blog below 👇
0:33

Subagents have arrived in Gemini CLI! 🤖🚀 Create your own custom subagents in Gemini CLI! Subagents are specialized, expert agents that the main agent can delegate work to. 📦- Subagents have their own set of tools, MCP servers, system instructions, and context window. 🏷️- Use Agent to explicitly delegate to a subagent 🧹- Keeps the main context window clean ⚡️- Speed up work by running agents in parallel Read more in the launch blog below 👇

Jack Wotherspoon

222,206 Aufrufe • vor 5 Monaten

Agent-in-the-browser unlocks superpowers. The magic really shines when you bring your own model, system prompts, and MCP tools into the mix. Hence, AgentBoard 🪄. Your models, keys, and settings. Integration with remote MCP servers and — this is where it gets really fun — ability to register and allow the agent to call custom ~WebMCP tools that execute in context of the page. Chrome Web Store: Code:
3:51

Agent-in-the-browser unlocks superpowers. The magic really shines when you bring your own model, system prompts, and MCP tools into the mix. Hence, AgentBoard 🪄. Your models, keys, and settings. Integration with remote MCP servers and — this is where it gets really fun — ability to register and allow the agent to call custom ~WebMCP tools that execute in context of the page. Chrome Web Store: Code:

Ilya Grigorik

22,961 Aufrufe • vor 11 Monaten

this github repo contains 50 of the most essential MCP servers that give your AI agents superpowers. > works with claude code, gemini, codex, cursor, and other MCP-compatible clients > MIT licensed > 5 categories, 50 MCP servers in total whether you want your agent to browse the web, manage files, interact with apps, or automate workflows, you'll find the right MCP here. link:
0:43

this github repo contains 50 of the most essential MCP servers that give your AI agents superpowers. > works with claude code, gemini, codex, cursor, and other MCP-compatible clients > MIT licensed > 5 categories, 50 MCP servers in total whether you want your agent to browse the web, manage files, interact with apps, or automate workflows, you'll find the right MCP here. link:

m0h

60,642 Aufrufe • vor 3 Monaten

Your standards. Your tools. Every review. Copilot code review supports custom agent skills and MCP server connections. Now in public preview for existing Copilot Pro, Pro+, Business, and Enterprise users. Bring your org's context and standards right into the diff. 💡
3:32

Your standards. Your tools. Every review. Copilot code review supports custom agent skills and MCP server connections. Now in public preview for existing Copilot Pro, Pro+, Business, and Enterprise users. Bring your org's context and standards right into the diff. 💡

GitHub

60,970 Aufrufe • vor 3 Monaten

The official Venice MCP Server is live! 31 tools across every modality. Chat, image, video, audio, music, web search, and more. Works with your Hermes or OpenClaw agent, Claude Code, Cursor, Codex, or any MCP client. 👉
0:38

The official Venice MCP Server is live! 31 tools across every modality. Chat, image, video, audio, music, web search, and more. Works with your Hermes or OpenClaw agent, Claude Code, Cursor, Codex, or any MCP client. 👉

Sabrina

42,882 Aufrufe • vor 4 Monaten

this is pure f*cking treasure 30 best MCP servers, mapped across 10 categories for building your agent's toolbox search. code. browser automation. files. databases. memory. agents. productivity. research. finance 01 SEARCH & INTERNET Brave Search MCP Server ▸ Google Maps MCP Server ▸ World Monitor MCP ▸ 02 PROGRAMMING Sentry MCP Server ▸ Context7 MCP ▸ GitHub MCP Server ▸ 03 BROWSER & AUTOMATION Fetch MCP Server ▸ Chrome DevTools MCP ▸ Playwright MCP Server ▸ 04 FILES & DOCUMENTS Filesystem MCP Server ▸ Google Drive server ▸ MCP server for Obsidian ▸ 05 DATABASES PostgreSQL ▸ SQLite MCP Server ▸ MCP Toolbox for Databases ▸ 06 MEMORY & RAG Knowledge Graph Memory Server ▸ Graphiti MCP Server ▸ cognee-mcp ▸ 07 AI AGENTS Taskmaster ▸ BlenderMCP ▸ Talk to Figma MCP ▸ 08 WORK & PRODUCTIVITY Google Workspace MCP Server ▸ Todoist AI MCP Server ▸ Thunderbird MCP ▸ 09 RESEARCH & ANALYTICS Phoenix MCP ▸ Zotero MCP ▸ NotebookLM MCP Server ▸ 10 BUSINESS & FINANCE Finance Toolkit ▸ Financial Datasets MCP Server ▸ Stripe MCP Server ▸ the stack covers the full agent loop: find information ⮕ write and inspect code ⮕ operate the browser ⮕ read files ⮕ query data ⮕ remember context ⮕ delegate work ⮕ run operations ⮕ analyze evidence ⮕ handle payments some reference servers above live in archived repositories, so check maintenance and permissions before production use save this, then select your gpt-6 astra use case ⭣
0:30

this is pure f*cking treasure 30 best MCP servers, mapped across 10 categories for building your agent's toolbox search. code. browser automation. files. databases. memory. agents. productivity. research. finance 01 SEARCH & INTERNET Brave Search MCP Server ▸ Google Maps MCP Server ▸ World Monitor MCP ▸ 02 PROGRAMMING Sentry MCP Server ▸ Context7 MCP ▸ GitHub MCP Server ▸ 03 BROWSER & AUTOMATION Fetch MCP Server ▸ Chrome DevTools MCP ▸ Playwright MCP Server ▸ 04 FILES & DOCUMENTS Filesystem MCP Server ▸ Google Drive server ▸ MCP server for Obsidian ▸ 05 DATABASES PostgreSQL ▸ SQLite MCP Server ▸ MCP Toolbox for Databases ▸ 06 MEMORY & RAG Knowledge Graph Memory Server ▸ Graphiti MCP Server ▸ cognee-mcp ▸ 07 AI AGENTS Taskmaster ▸ BlenderMCP ▸ Talk to Figma MCP ▸ 08 WORK & PRODUCTIVITY Google Workspace MCP Server ▸ Todoist AI MCP Server ▸ Thunderbird MCP ▸ 09 RESEARCH & ANALYTICS Phoenix MCP ▸ Zotero MCP ▸ NotebookLM MCP Server ▸ 10 BUSINESS & FINANCE Finance Toolkit ▸ Financial Datasets MCP Server ▸ Stripe MCP Server ▸ the stack covers the full agent loop: find information ⮕ write and inspect code ⮕ operate the browser ⮕ read files ⮕ query data ⮕ remember context ⮕ delegate work ⮕ run operations ⮕ analyze evidence ⮕ handle payments some reference servers above live in archived repositories, so check maintenance and permissions before production use save this, then select your gpt-6 astra use case ⭣

beamnxw ./

68,561 Aufrufe • vor 15 Tagen

🚀 LangSmith Agent Builder is now available in Public Beta Now anyone can create production ready agents without writing code, just chat. Agent Builder guides you from initial idea to deployed agent, creating detailed prompts, selecting required tools, and even creating subagents. Our Beta release also includes: 🧰 Bring your own tools via MCP server 🧩 Browse, copy, and customize agents across a shared workspace 🧠 Use your preferred model Try Agent Builder free: Read more on the launch:
0:56

🚀 LangSmith Agent Builder is now available in Public Beta Now anyone can create production ready agents without writing code, just chat. Agent Builder guides you from initial idea to deployed agent, creating detailed prompts, selecting required tools, and even creating subagents. Our Beta release also includes: 🧰 Bring your own tools via MCP server 🧩 Browse, copy, and customize agents across a shared workspace 🧠 Use your preferred model Try Agent Builder free: Read more on the launch:

LangChain

37,866 Aufrufe • vor 10 Monaten

Andrew Ng just released a 2-hour course On building agentic skills from scratch with Anthropic: 00:00 - How to build agent skills with Claude 22:32 - Claude pre-built skills for AI agents 41:07 - Agentic skills vs tools, MCP, and subagents 01:06:06 - Skills for long-running agents This 2-hour watch can replace 10 paid courses on building agents Taught with Anthropic themselves Bookmark and watch it tonight Then read the article below
1:50:27

Andrew Ng just released a 2-hour course On building agentic skills from scratch with Anthropic: 00:00 - How to build agent skills with Claude 22:32 - Claude pre-built skills for AI agents 41:07 - Agentic skills vs tools, MCP, and subagents 01:06:06 - Skills for long-running agents This 2-hour watch can replace 10 paid courses on building agents Taught with Anthropic themselves Bookmark and watch it tonight Then read the article below

rari

104,612 Aufrufe • vor 2 Monaten

Important new course: Agent Skills with Anthropic, built with Anthropic and taught by Elie Schoppik! Skills are constructed as folders of instructions that equip agents with on-demand knowledge and workflows. This short course teaches you how to create them following best practices. Because skills follow an open standard format, you can build them once and deploy across any skills-compatible agent, like Claude Code. What you'll learn: - Create custom skills for code generation and review, data analysis, and research - Build complex workflows using Anthropic's pre-built skills (Excel, PowerPoint, skill creation) and custom skills - Combine skills with MCP and subagents to create agentic systems with specialized knowledge - Deploy the same skills across Claude Code, the Claude API, and the Claude Agent SDK Join and learn to equip agents with the specialized knowledge they need for reliable, repeatable workflows.
1:59

Important new course: Agent Skills with Anthropic, built with Anthropic and taught by Elie Schoppik! Skills are constructed as folders of instructions that equip agents with on-demand knowledge and workflows. This short course teaches you how to create them following best practices. Because skills follow an open standard format, you can build them once and deploy across any skills-compatible agent, like Claude Code. What you'll learn: - Create custom skills for code generation and review, data analysis, and research - Build complex workflows using Anthropic's pre-built skills (Excel, PowerPoint, skill creation) and custom skills - Combine skills with MCP and subagents to create agentic systems with specialized knowledge - Deploy the same skills across Claude Code, the Claude API, and the Claude Agent SDK Join and learn to equip agents with the specialized knowledge they need for reliable, repeatable workflows.

Andrew Ng

890,490 Aufrufe • vor 8 Monaten

If you have a crypto agent, this is pure gold Crypto Skill Hub is the place to find all the crypto skills your AI agent needs. Inside, you’ll find: > 1,185 crypto skills > 97 MCP servers > 13 categories > 23 official projects From Coinbase 🛡️, Binance, MetaMask 🦊, to Uniswap. Everything your agent needs to navigate crypto is here. It works with the most popular agent frameworks, including OpenClaw, Claude Code, and Hermes Agent. You’ll find: > Verified skills from trusted builders > Community-made skills from across the ecosystem When you want to give your crypto AI agent superpowers, this is where you start.
1:05

If you have a crypto agent, this is pure gold Crypto Skill Hub is the place to find all the crypto skills your AI agent needs. Inside, you’ll find: > 1,185 crypto skills > 97 MCP servers > 13 categories > 23 official projects From Coinbase 🛡️, Binance, MetaMask 🦊, to Uniswap. Everything your agent needs to navigate crypto is here. It works with the most popular agent frameworks, including OpenClaw, Claude Code, and Hermes Agent. You’ll find: > Verified skills from trusted builders > Community-made skills from across the ecosystem When you want to give your crypto AI agent superpowers, this is where you start.

Diego

13,249 Aufrufe • vor 5 Monaten