Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Introducing Devin Desktop: the next generation of Windsurf Manage fleets of local and cloud agents from one surface Support for any ACP-compatible agent With a full IDE for when you need to jump into the code

devindesktop's profile picture

Devin Desktop

80,909 subscribers

505,205 Aufrufe • vor 2 Monaten •via X (Twitter)

BildungWissenschaft & Technologie
LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Introducing Devin Desktop. Manage fleets of local and cloud agents from one surface. Plan, delegate, review, and ship without leaving your editor.
0:44

Introducing Devin Desktop. Manage fleets of local and cloud agents from one surface. Plan, delegate, review, and ship without leaving your editor.

Cognition

3,208,891 Aufrufe • vor 2 Monaten

Introducing Windsurf 2.0. Manage all your agents from one place and delegate work to the cloud with Devin - so your agents keep shipping even after you close your laptop.
0:53

Introducing Windsurf 2.0. Manage all your agents from one place and delegate work to the cloud with Devin - so your agents keep shipping even after you close your laptop.

Devin Desktop

21,388,876 Aufrufe • vor 4 Monaten

Introducing multi-agent orchestration in Oz, with support for Claude Code, Codex and the Warp Agent. Use /orchestrate to delegate complex tasks across a team of agents, locally or in the cloud.
2:17

Introducing multi-agent orchestration in Oz, with support for Claude Code, Codex and the Warp Agent. Use /orchestrate to delegate complex tasks across a team of agents, locally or in the cloud.

Warp

1,198,744 Aufrufe • vor 3 Monaten

If you're evaluating AI IDEs this week, here's what getting started with Windsurf (retired) looks like (links below): • Download and install from Import any existing IDE settings during onboarding, or start fresh. • Cascade is the agent panel on the right. Chat, generate, edit, run code. @-mention files, symbols, or docs to scope context. • Choose your model - Opus, Codex, SWE, Kimi, GLM and more (Kimi K2.6 is free for the next 2 weeks 👀) • DeepWiki: Cmd+Shift+Click any symbol for an in-depth explanation of what it does. Send it to Cascade with one click. • Codemaps: hierarchical view of how files and functions execute together. Click a node to jump to code. Shareable as links. • Devin in Windsurf: start and manage cloud sessions without leaving the editor. • Agent Command Center: Kanban board of every running agent, local (Cascade) and cloud (Devin). See what's in flight, blocked, or ready for review. • Spaces: group sessions, PRs, files, and context for one task or project into a single view. • Centralized review: handle diffs, PRs, and agent output in one place. • MCP servers, Memories, and Workflows extend Cascade. Set them up once; reuse across projects.
0:41

If you're evaluating AI IDEs this week, here's what getting started with Windsurf (retired) looks like (links below): • Download and install from Import any existing IDE settings during onboarding, or start fresh. • Cascade is the agent panel on the right. Chat, generate, edit, run code. @-mention files, symbols, or docs to scope context. • Choose your model - Opus, Codex, SWE, Kimi, GLM and more (Kimi K2.6 is free for the next 2 weeks 👀) • DeepWiki: Cmd+Shift+Click any symbol for an in-depth explanation of what it does. Send it to Cascade with one click. • Codemaps: hierarchical view of how files and functions execute together. Click a node to jump to code. Shareable as links. • Devin in Windsurf: start and manage cloud sessions without leaving the editor. • Agent Command Center: Kanban board of every running agent, local (Cascade) and cloud (Devin). See what's in flight, blocked, or ready for review. • Spaces: group sessions, PRs, files, and context for one task or project into a single view. • Centralized review: handle diffs, PRs, and agent output in one place. • MCP servers, Memories, and Workflows extend Cascade. Set them up once; reuse across projects.

nader dabit

17,167 Aufrufe • vor 4 Monaten

ACP is amazing. Build with every agent from a single pane of glass: Codex Claude OpenCode Devin Gemini plus ~40 other agents All from 1 app and 1 agent selector. Here's how it looks in practice with Devin Desktop:
1:45

ACP is amazing. Build with every agent from a single pane of glass: Codex Claude OpenCode Devin Gemini plus ~40 other agents All from 1 app and 1 agent selector. Here's how it looks in practice with Devin Desktop:

nader dabit

117,472 Aufrufe • vor 2 Monaten

You told us you’re running multiple AI agents and wanted a better UX. We listened and shipped it! Here’s what’s new in the latest Visual Studio Code release: 🗂️ Unified agent sessions workspace for local, background, and cloud agents 💻 Claude and Codex support for local and cloud agents 🔀 Parallel subagents 🌐 Integrated browser And more...
1:09

You told us you’re running multiple AI agents and wanted a better UX. We listened and shipped it! Here’s what’s new in the latest Visual Studio Code release: 🗂️ Unified agent sessions workspace for local, background, and cloud agents 💻 Claude and Codex support for local and cloud agents 🔀 Parallel subagents 🌐 Integrated browser And more...

Visual Studio Code

588,284 Aufrufe • vor 6 Monaten

The terminal hasn’t changed much since the 1970s. What you do with it has. Introducing Devin for Terminal: everything we learned building Devin, now as a local agent, available right in your shell. And when your work outgrows your laptop, hand it off to the cloud.
0:55

The terminal hasn’t changed much since the 1970s. What you do with it has. Introducing Devin for Terminal: everything we learned building Devin, now as a local agent, available right in your shell. And when your work outgrows your laptop, hand it off to the cloud.

Cognition

392,205 Aufrufe • vor 4 Monaten

Introducing Helmor The open-source, local-first answer to Conductor. A more refined, faster GUI for orchestrating coding agents. No cloud. One-click import from Conductor. AI made coding faster. Helmor is about finishing the rest of the loop: orchestration, workspaces, review, testing, and merge. We believe the next generation of GUI agent orchestration should be built in the open — by the community.
0:53

Introducing Helmor The open-source, local-first answer to Conductor. A more refined, faster GUI for orchestrating coding agents. No cloud. One-click import from Conductor. AI made coding faster. Helmor is about finishing the rest of the loop: orchestration, workspaces, review, testing, and merge. We believe the next generation of GUI agent orchestration should be built in the open — by the community.

Caspian 東澔

121,766 Aufrufe • vor 4 Monaten

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:
2:49

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 Aufrufe • vor 1 Jahr

🚀 Introducing the first-ever Agent UI 🚀 This is hands-down my favorite product! Chat with local Agents tailored to my needs. Local memory, storage, knowledge and tools 🔥 ⚡️ Your data, your control 🧠 Compatible with any LLM 🤝 Run multiple agents or a team of agents
8:33

🚀 Introducing the first-ever Agent UI 🚀 This is hands-down my favorite product! Chat with local Agents tailored to my needs. Local memory, storage, knowledge and tools 🔥 ⚡️ Your data, your control 🧠 Compatible with any LLM 🤝 Run multiple agents or a team of agents

Ashpreet Bedi

69,015 Aufrufe • vor 1 Jahr

Introducing OpenKnowledge, the best markdown IDE for humans and agents. Open source. Local and private. LLM-wiki ready. Use with Claude, Codex, and your favorite agent today.
0:39

Introducing OpenKnowledge, the best markdown IDE for humans and agents. Open source. Local and private. LLM-wiki ready. Use with Claude, Codex, and your favorite agent today.

Nick Gomez

324,728 Aufrufe • vor 1 Monat

you don't have to keep your laptop open for your agents to keep running just type /handoff and send your agent to the cloud with Devin (and close your laptop) from there, your agent gets: - its own Linux VM - shell, IDE, browser - full desktop Computer Use - end-to-end test recordings - ready-to-review PRs - it's own review agent you can continue your session from your phone, computer, or anywhere with an internet connection and you can send as many sessions as you'd like in parallel.
0:35

you don't have to keep your laptop open for your agents to keep running just type /handoff and send your agent to the cloud with Devin (and close your laptop) from there, your agent gets: - its own Linux VM - shell, IDE, browser - full desktop Computer Use - end-to-end test recordings - ready-to-review PRs - it's own review agent you can continue your session from your phone, computer, or anywhere with an internet connection and you can send as many sessions as you'd like in parallel.

nader dabit

61,367 Aufrufe • vor 3 Monaten

Introducing 🚨 The ultra-fast Linux-like OS in the browser, it's a mapping of Linux APIs to the browser APIs. Now run that untrusted code. You might not need a cloud sandbox! Made for Agents and Humans!
3:07

Introducing 🚨 The ultra-fast Linux-like OS in the browser, it's a mapping of Linux APIs to the browser APIs. Now run that untrusted code. You might not need a cloud sandbox! Made for Agents and Humans!

Sanket Sahu

225,415 Aufrufe • vor 6 Monaten

Introducing Devin for Terminal. Local when you want control. Cloud when you want your laptop back. Tight integration between both. Work locally or send sessions to the cloud with /handoff Choose between Claude, GPT, SWE, GLM, Kimi, and other models. It's fast, it's great, and it's the easiest way to get started with Devin.
0:41

Introducing Devin for Terminal. Local when you want control. Cloud when you want your laptop back. Tight integration between both. Work locally or send sessions to the cloud with /handoff Choose between Claude, GPT, SWE, GLM, Kimi, and other models. It's fast, it's great, and it's the easiest way to get started with Devin.

nader dabit

30,257 Aufrufe • vor 4 Monaten

if you are building with claude code; i am building for you. introducing sessions: superpowers for your terminal - access any session from your menu bar - manage and kill all of your active ports - create, delete and manage worktrees - fully local, private and really fucking FAST
1:21

if you are building with claude code; i am building for you. introducing sessions: superpowers for your terminal - access any session from your menu bar - manage and kill all of your active ports - create, delete and manage worktrees - fully local, private and really fucking FAST

pragun

25,833 Aufrufe • vor 4 Monaten

🚀 Introducing the 𝙲𝚑𝚊𝚗𝚗𝚎𝚕𝚜 𝚂𝙳𝙺 Bring any Agent to any Channel. Slack, MS Teams, WhatsApp, and more. A significant jump from the state of the art across every dimension. With support for: → Generative UI → Streaming replies → User-based auth → Per-user learning Try it live: GitHub:
1:06

🚀 Introducing the 𝙲𝚑𝚊𝚗𝚗𝚎𝚕𝚜 𝚂𝙳𝙺 Bring any Agent to any Channel. Slack, MS Teams, WhatsApp, and more. A significant jump from the state of the art across every dimension. With support for: → Generative UI → Streaming replies → User-based auth → Per-user learning Try it live: GitHub:

Atai Barkai

332,743 Aufrufe • vor 24 Tagen

The most annoying part about running your agents in the cloud is that sometimes you _do_ need access to your local machine. With Conductor Cloud we give you all the benefits of cloud but also a bunch of local escape-hatches. All cloud agents get access to: - Port-forwarding from cloud to your localhost - File sync from cloud env to your machine - A "run local command" tool that lets agents remotely run commands on your Mac Here's a walkthrough:
6:09

The most annoying part about running your agents in the cloud is that sometimes you _do_ need access to your local machine. With Conductor Cloud we give you all the benefits of cloud but also a bunch of local escape-hatches. All cloud agents get access to: - Port-forwarding from cloud to your localhost - File sync from cloud env to your machine - A "run local command" tool that lets agents remotely run commands on your Mac Here's a walkthrough:

Charlie Holtz

18,299 Aufrufe • vor 21 Tagen

New course: Building Coding Agents with Tool Execution, taught by Tereza Tizkova and Fra from E2B. Most AI agents are limited to predefined function calls. This short course teaches you to build agents that write and execute code to accomplish tasks, accessing entire programming language ecosystems instead of being restricted to a fixed set of tools. You'll learn to run agent-generated code safely in sandboxed cloud environments that protect your systems from harmful operations. Skills you'll gain: - Build agents that write and execute code, manage files, and handle errors autonomously through feedback loops - Run agent code safely in E2B cloud sandboxes and understand tradeoffs between local, containerized, and cloud execution - Create a data analyst agent that explores visualizes data with Pandas - Create a full-stack agent that builds complete Next.js web applications Join and build agents that code their way through complex tasks:
2:23

New course: Building Coding Agents with Tool Execution, taught by Tereza Tizkova and Fra from E2B. Most AI agents are limited to predefined function calls. This short course teaches you to build agents that write and execute code to accomplish tasks, accessing entire programming language ecosystems instead of being restricted to a fixed set of tools. You'll learn to run agent-generated code safely in sandboxed cloud environments that protect your systems from harmful operations. Skills you'll gain: - Build agents that write and execute code, manage files, and handle errors autonomously through feedback loops - Run agent code safely in E2B cloud sandboxes and understand tradeoffs between local, containerized, and cloud execution - Create a data analyst agent that explores visualizes data with Pandas - Create a full-stack agent that builds complete Next.js web applications Join and build agents that code their way through complex tasks:

Andrew Ng

204,109 Aufrufe • vor 8 Monaten

🥊 Down with the crew at Jobstown Boxing Club. The commitment and drive from Amanda and the whole team is incredible. Clubs like this are the heartbeat of local communities - full of talent and opportunity for our young people. They need real support and investment to grow, upgrade facilities, and keep delivering for the next generation of champions.
0:46

🥊 Down with the crew at Jobstown Boxing Club. The commitment and drive from Amanda and the whole team is incredible. Clubs like this are the heartbeat of local communities - full of talent and opportunity for our young people. They need real support and investment to grow, upgrade facilities, and keep delivering for the next generation of champions.

Mary Lou McDonald

10,539 Aufrufe • vor 1 Jahr

if you don't ship with cloud coding agents yet, ngmi so just lyk: Ariana is the best way to launch and manage them from your phone & desktop and it's all using your Claude Code or Codex subscription
1:26

if you don't ship with cloud coding agents yet, ngmi so just lyk: Ariana is the best way to launch and manage them from your phone & desktop and it's all using your Claude Code or Codex subscription

Anicet

14,672 Aufrufe • vor 5 Monaten