正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Toad unifies your AI coding agents in the terminal with one clean UI, powered by the ACP protocol. Awesome. > uv tool install -U batrachian-toad

Tw93

146,506 subscribers

22,726 次观看 • 5 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Almost ready for the first public release of Toad! The video shows Getting started with Agentic coding in Toad. Pick your agent. Install. And you are off to the races. All without ever leaving Toad or your terminal! OpenHands 🐸 ❤️ 👐

Almost ready for the first public release of Toad! The video shows Getting started with Agentic coding in Toad. Pick your agent. Install. And you are off to the races. All without ever leaving Toad or your terminal! OpenHands 🐸 ❤️ 👐

Will McGugan

32,095 次观看 • 7 个月前

Alrighty. The Toad is out of the bag. 👜🐸 Install toad to work with a variety of #AI coding agents with one beautiful terminal interface. Check out the blog post for more information... I've been told I'm very authentic on camera. You just can't fake that kind of awkwardness.

Alrighty. The Toad is out of the bag. 👜🐸 Install toad to work with a variety of #AI coding agents with one beautiful terminal interface. Check out the blog post for more information... I've been told I'm very authentic on camera. You just can't fake that kind of awkwardness.

Will McGugan

202,237 次观看 • 6 个月前

I've been building a "front page" for Toad (my terminal UI for agentic coding). This will the first page the user will see if they run "toad" from the command line without additional arguments. For here they can browse / search for agents and install directly from the command line. There are 10 agent supported so far, with more being added all the time. I also see this is a place to install other more specialized AI tools in addition to agentic coding. Check out the video! #toad #AI

I've been building a "front page" for Toad (my terminal UI for agentic coding). This will the first page the user will see if they run "toad" from the command line without additional arguments. For here they can browse / search for agents and install directly from the command line. There are 10 agent supported so far, with more being added all the time. I also see this is a place to install other more specialized AI tools in addition to agentic coding. Check out the video! #toad #AI

Will McGugan

35,626 次观看 • 7 个月前

This is what I am working on. 🐸 Toad. A universal interface for agentic coding in the terminal. Follow me for updates.

This is what I am working on. 🐸 Toad. A universal interface for agentic coding in the terminal. Follow me for updates.

Will McGugan

55,942 次观看 • 11 个月前

Here's why I think Zed 's Agent Client Protocol is an important technology. It allows lunatics like me to take the magic of Gemini CLI and other agents, and build a custom terminal UI around them. Here I am comparing Toad's TTY support with Gemini's. Toad is very close to a release BTW. Join the toad channel on Textualize discord to be the first to try it out.

Here's why I think Zed 's Agent Client Protocol is an important technology. It allows lunatics like me to take the magic of Gemini CLI and other agents, and build a custom terminal UI around them. Here I am comparing Toad's TTY support with Gemini's. Toad is very close to a release BTW. Join the toad channel on Textualize discord to be the first to try it out.

Will McGugan

29,180 次观看 • 7 个月前

Mistral Vibe CLI is an open-source command-line coding assistant powered by Devstral. It explores, modifies, and executes changes across your codebase using natural language. Also under Apache 2.0. Install via: uv tool install mistral-vibe

Mistral Vibe CLI is an open-source command-line coding assistant powered by Devstral. It explores, modifies, and executes changes across your codebase using natural language. Also under Apache 2.0. Install via: uv tool install mistral-vibe

Mistral AI

144,624 次观看 • 7 个月前

Install ntn, the Notion CLI. It brings the entire Notion API to your terminal, plus everything you need to build and deploy Workers. Built for humans and coding agents alike. Install with: curl -fsSL | bash

Install ntn, the Notion CLI. It brings the entire Notion API to your terminal, plus everything you need to build and deploy Workers. Built for humans and coding agents alike. Install with: curl -fsSL | bash

Notion Developers

1,554,031 次观看 • 1 个月前

we built the world’s first self-installing API powered by claude code add memory to your AI agents in 5 mins with Hyperspell (YC F25) no human coding required

we built the world’s first self-installing API powered by claude code add memory to your AI agents in 5 mins with Hyperspell (YC F25) no human coding required

conor brennan-burke

29,355 次观看 • 8 个月前

Toad in the hole fan?

Toad in the hole fan?

9mmSMG

40,396 次观看 • 8 个月前

Toad in the hole. Bosh.

Toad in the hole. Bosh.

big john the boshfather

24,456 次观看 • 5 个月前

Unreal. I built a stock/crypto tracker in 10 minutes with AI Just 1 single prompt. No coding at all. The tool is called Replit Agents and it might be the most powerful AI tool I've ever used By the end of this video you'll be able to build ANY idea in your head. 0 coding

Unreal. I built a stock/crypto tracker in 10 minutes with AI Just 1 single prompt. No coding at all. The tool is called Replit Agents and it might be the most powerful AI tool I've ever used By the end of this video you'll be able to build ANY idea in your head. 0 coding

Alex Finn

204,795 次观看 • 1 年前

Here's an extended clip of Mario meeting Captain Toad in the Super Mario Bros. Movie. Yes, THE Captain Toad! #SuperMarioMovie

Here's an extended clip of Mario meeting Captain Toad in the Super Mario Bros. Movie. Yes, THE Captain Toad! #SuperMarioMovie

GameXplain

587,160 次观看 • 3 年前

Introducing @opensea/cli — the OpenSea skill for your AI agents. Query NFTs, listings, swaps & more from your terminal. Or install it as a skill to power up your agents with deep onchain data from OpenSea. npm install -g @opensea/cli Your agents will thank you 🫡

Introducing @opensea/cli — the OpenSea skill for your AI agents. Query NFTs, listings, swaps & more from your terminal. Or install it as a skill to power up your agents with deep onchain data from OpenSea. npm install -g @opensea/cli Your agents will thank you 🫡

OpenSea

298,735 次观看 • 4 个月前

one of my talents is doing the Toad impression

Sensitive content

one of my talents is doing the Toad impression

el_XoX 🐰🔞

68,823 次观看 • 1 年前

AI agents can finally talk to your frontend! The new AG-UI protocol lets your agents stream messages, sync state, call tools, and receive user input, live in the UI. It fills a critical gap in the agent ecosystem: ▸ MCP – agents to tools ▸ A2A – agents to agents ▸ AG-UI – agents to users, via frontends Connects to LangChain, CrewAI, and LlamaIndex (and more). 100% open-source.

AI agents can finally talk to your frontend! The new AG-UI protocol lets your agents stream messages, sync state, call tools, and receive user input, live in the UI. It fills a critical gap in the agent ecosystem: ▸ MCP – agents to tools ▸ A2A – agents to agents ▸ AG-UI – agents to users, via frontends Connects to LangChain, CrewAI, and LlamaIndex (and more). 100% open-source.

Lior⚡

15,514 次观看 • 1 年前

Awesome vibes and hospitality at brohemium grove TopLobsta Raven Toad

Awesome vibes and hospitality at brohemium grove TopLobsta Raven Toad

Owen Benjamin 🐻

13,967 次观看 • 1 年前

Super Funkin' Galaxy - Toad Brigade - Composed by Rem The Musician

Super Funkin' Galaxy - Toad Brigade - Composed by Rem The Musician

fnf songs that go hard

16,684 次观看 • 2 年前

AI agents, powered by cinematic intelligence. h011yw00d is now live on Virtuals Protocol.

AI agents, powered by cinematic intelligence. h011yw00d is now live on Virtuals Protocol.

Virtuals Protocol

71,230 次观看 • 1 年前

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

Andrew Ng

105,343 次观看 • 1 年前