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。

Agents like Claude Code can run terminal commands for you. But what if you could invite agents like CC into your already running terminal sessions? Ask for agent help in vim, in SQL REPLs, in other TUIs? That's what the Warp Agent CLI does. Eng Kevin Yang shows how... show more

Warp

58,264 subscribers

20,229 次观看 • 3 天前 •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

Part 02 -- Universal CLI Agent Server Claude Code, Codex CLI, Qwen Code, Gemini CLI, or anything---Use ANY terminal AI agents right in the browser with 1 click, just like web surfing. Reply to help with beta.

Part 02 -- Universal CLI Agent Server Claude Code, Codex CLI, Qwen Code, Gemini CLI, or anything---Use ANY terminal AI agents right in the browser with 1 click, just like web surfing. Reply to help with beta.

cocktail peanut

12,217 次观看 • 9 个月前

You can now orchestrate subagents running in Claude Code, Codex, or the Warp Agent. Let the agent create a delegation plan, and watch subagents coordinate with message passing. Each agent gets its own worktree for isolation. Here's how it works with eng Matthew Albright:

You can now orchestrate subagents running in Claude Code, Codex, or the Warp Agent. Let the agent create a delegation plan, and watch subagents coordinate with message passing. Each agent gets its own worktree for isolation. Here's how it works with eng Matthew Albright:

Warp

20,805 次观看 • 3 个月前

So excited for Agent view (research preview) in Claude Code. Run claude agents to list and start multiple sessions. Each one runs w/o taking up a terminal tab. See what's running, what's blocked, and what's done. Reply inline or jump in and out of sessions with ease.

So excited for Agent view (research preview) in Claude Code. Run claude agents to list and start multiple sessions. Each one runs w/o taking up a terminal tab. See what's running, what's blocked, and what's done. Reply inline or jump in and out of sessions with ease.

Ado

22,471 次观看 • 3 个月前

Agent apps don’t win on the model, they win on the harness. But creating that harness is painful. Terminal Use is hosting infrastructure for background agents built for iterating: fork filesystems and try multiple agents in parallel. The platform is CLI-first, which allows your coding agents like Claude Code & Codex to help you debug, hypothesize improvements, and analyze outputs. Congrats on the launch Vivek Raja, Stavros Filosidis, and Filip Balucha!

Agent apps don’t win on the model, they win on the harness. But creating that harness is painful. Terminal Use is hosting infrastructure for background agents built for iterating: fork filesystems and try multiple agents in parallel. The platform is CLI-first, which allows your coding agents like Claude Code & Codex to help you debug, hypothesize improvements, and analyze outputs. Congrats on the launch Vivek Raja, Stavros Filosidis, and Filip Balucha!

Y Combinator

61,540 次观看 • 6 个月前

We built MiniMax a CLI coding agent like Claude Code, powered by MiniMax M3. It can: → Read files → Write code → Run shell commands autonomously → Understand large codebases with long-context reasoning → Handle real multi-file engineering tasks → Work entirely inside your terminal And it's fully hackable. Swap prompts. Add tools. Customize workflows. Make it your own. No GUI. Just code. Built for developers who live in the terminal.

We built MiniMax a CLI coding agent like Claude Code, powered by MiniMax M3. It can: → Read files → Write code → Run shell commands autonomously → Understand large codebases with long-context reasoning → Handle real multi-file engineering tasks → Work entirely inside your terminal And it's fully hackable. Swap prompts. Add tools. Customize workflows. Make it your own. No GUI. Just code. Built for developers who live in the terminal.

Darshal Jaitwar

18,861 次观看 • 2 个月前

I tried jack's Buzz. It's like Slack + OpenClaw + Herdr + but with some really unique features that people are sleeping on. The video below shows how it works, and some of my thoughts on the process and platform, e.g.: - Create and interact with agents on top of any harness (claude code, codex, pi, etc.) - Choose which models agents use, including local ones - Agents can delegate work and work in parallel in git worktrees - Agents are first-class citizens and work like humans (creating channels, delegating, access to chat history) - You can share AI compute within a community - It's completely open-source and decentralized Things I like: - Delegating work in chat feels natural: tag an agent, it replies in a thread with status updates as it e.g. compiles, commits, and deploys. - Shared compute: relay owners can share local compute with members, so a community could pool funds for one beefy machine running a local model and everyone uses it. - It's built on Nostr, an open protocol already tied into Bitcoin Lightning so I can imagine communities tipping each other or paying for compute/agent tasks with instant zero-fee micropayments in the future. - It ties together things like OpenClaw, an agent manager, and Slack-style chat into one tool. Things I didn't like: - You can't see what the agent is doing in a terminal. The activity view exists, but if you're used to watching a session run, this UI feels a bit abstracted. A terminal view would be great. - It feels slower than running a session in Claude Code, though no evidence to back that up. For that reason I found myself doing one-off tasks in the terminal instead. Verdict: - I really like it so far and can genuinely imagine working with a team this way. - It doesn't feel ready for big, complex tasks yet. For shallower tasks, it's perfect. - The shared compute + Nostr/Lightning angle is what really separates it from every other agent manager for me, and I think that future is coming.

I tried jack's Buzz. It's like Slack + OpenClaw + Herdr + but with some really unique features that people are sleeping on. The video below shows how it works, and some of my thoughts on the process and platform, e.g.: - Create and interact with agents on top of any harness (claude code, codex, pi, etc.) - Choose which models agents use, including local ones - Agents can delegate work and work in parallel in git worktrees - Agents are first-class citizens and work like humans (creating channels, delegating, access to chat history) - You can share AI compute within a community - It's completely open-source and decentralized Things I like: - Delegating work in chat feels natural: tag an agent, it replies in a thread with status updates as it e.g. compiles, commits, and deploys. - Shared compute: relay owners can share local compute with members, so a community could pool funds for one beefy machine running a local model and everyone uses it. - It's built on Nostr, an open protocol already tied into Bitcoin Lightning so I can imagine communities tipping each other or paying for compute/agent tasks with instant zero-fee micropayments in the future. - It ties together things like OpenClaw, an agent manager, and Slack-style chat into one tool. Things I didn't like: - You can't see what the agent is doing in a terminal. The activity view exists, but if you're used to watching a session run, this UI feels a bit abstracted. A terminal view would be great. - It feels slower than running a session in Claude Code, though no evidence to back that up. For that reason I found myself doing one-off tasks in the terminal instead. Verdict: - I really like it so far and can genuinely imagine working with a team this way. - It doesn't feel ready for big, complex tasks yet. For shallower tasks, it's perfect. - The shared compute + Nostr/Lightning angle is what really separates it from every other agent manager for me, and I think that future is coming.

Vinny

1,348,989 次观看 • 26 天前

I just tested Hermes Workspace v2 and honestly this is what Hermes should have looked like from the start. Why it matters: • Native chat with your Hermes agents • Mission control style workspace • Task boards for agent workflows • Memory and skills management • File browser and terminal in one UI • Works with local and cloud models • Runs across phone, Mac, PC, iPhone, Android If you like Hermes but hate living in the terminal, this update is for you.

I just tested Hermes Workspace v2 and honestly this is what Hermes should have looked like from the start. Why it matters: • Native chat with your Hermes agents • Mission control style workspace • Task boards for agent workflows • Memory and skills management • File browser and terminal in one UI • Works with local and cloud models • Runs across phone, Mac, PC, iPhone, Android If you like Hermes but hate living in the terminal, this update is for you.

Julian Goldie SEO

80,459 次观看 • 4 个月前

1/ Keep running claude -p on your Claude Code subscription after June 15. A 200-line bash wrapper pipes your prompt into the Claude Code session you already have open. The call rides your subscription, not the new Agent SDK credit bucket. Looks like claude -p. Runs on the plan you already pay for. How it works 👇

1/ Keep running claude -p on your Claude Code subscription after June 15. A 200-line bash wrapper pipes your prompt into the Claude Code session you already have open. The call rides your subscription, not the new Agent SDK credit bucket. Looks like claude -p. Runs on the plan you already pay for. How it works 👇

AI Builder Club

27,279 次观看 • 3 个月前

You can now run any CLI agent with first-class support in Warp, including Claude Code, Codex, OpenCode and Gemini CLI. • Vertical tabs • Notifications when they need you • Integrated code review • Remote control from mobile • Rich input editor Download Warp for free today.

You can now run any CLI agent with first-class support in Warp, including Claude Code, Codex, OpenCode and Gemini CLI. • Vertical tabs • Notifications when they need you • Integrated code review • Remote control from mobile • Rich input editor Download Warp for free today.

Warp

236,723 次观看 • 4 个月前

INCREDIBLE!!! Check out this local terminal agent! AWS Developers just dropped something big: a supercharged CLI inside Amazon Q Developer. It's like pair programming with an LLM right in your terminal. You can try it for FREE!

INCREDIBLE!!! Check out this local terminal agent! AWS Developers just dropped something big: a supercharged CLI inside Amazon Q Developer. It's like pair programming with an LLM right in your terminal. You can try it for FREE!

Akshay 🚀

25,033 次观看 • 1 年前

1/ Introducing the Nado CLI and MCP Server. AI agents can now trade directly on the protocol. Perps, spot and NLP ~40 terminal commands ~50 AI tools Tell your agent "go 5x long BTC with a stop at 70k", it builds the order, shows you what it'll do, and asks you to confirm.

1/ Introducing the Nado CLI and MCP Server. AI agents can now trade directly on the protocol. Perps, spot and NLP ~40 terminal commands ~50 AI tools Tell your agent "go 5x long BTC with a stop at 70k", it builds the order, shows you what it'll do, and asks you to confirm.

Nado

44,492 次观看 • 4 个月前

Boris Cherny: "I don't write code anymore, I just prompt with Claude" he spent 57 minutes explaining exactly where this is all going here's what stood out: > Claude Code grew faster than anyone at Anthropic expected > AI agents are moving beyond coding into every industry > running 1,000 agents in parallel is already happening > SaaS may not survive the agent era if the Head of Claude Code prompts instead of codes, what does that tell you about the next 2 years? that's exactly why I put together an article on Claude features most people don't know exist it will change how you work with Claude completely you can find it below

Boris Cherny: "I don't write code anymore, I just prompt with Claude" he spent 57 minutes explaining exactly where this is all going here's what stood out: > Claude Code grew faster than anyone at Anthropic expected > AI agents are moving beyond coding into every industry > running 1,000 agents in parallel is already happening > SaaS may not survive the agent era if the Head of Claude Code prompts instead of codes, what does that tell you about the next 2 years? that's exactly why I put together an article on Claude features most people don't know exist it will change how you work with Claude completely you can find it below

Anatoli Kopadze

20,003 次观看 • 2 个月前

With Gemini CLI's new pseudo-terminal (PTY) support, you can run complex, interactive commands like vim, top, or git rebase -i directly within the CLI without having to exit, keeping everything in context.

With Gemini CLI's new pseudo-terminal (PTY) support, you can run complex, interactive commands like vim, top, or git rebase -i directly within the CLI without having to exit, keeping everything in context.

Google AI Developers

331,453 次观看 • 10 个月前

New in Claude Code: /ultraplan Claude builds an implementation plan for you on the web. You can read it and edit it, then run the plan on the web or back in your terminal. Available now in preview for all users with CC on the web enabled.

New in Claude Code: /ultraplan Claude builds an implementation plan for you on the web. You can read it and edit it, then run the plan on the web or back in your terminal. Available now in preview for all users with CC on the web enabled.

Thariq

1,300,572 次观看 • 4 个月前

🧲 Meet Magnet — the AI workspace for agentic coding. Build software with Claude Code, Cursor, Codex & co. → Write a ticket → Magnet assembles context → Fires to Claude Code, Deep Research, and other agent sessions in parallel Git worktree sandboxes → PRs appear → Use agents to help you spec, research, and decompose tasks Let your agents cook!

🧲 Meet Magnet — the AI workspace for agentic coding. Build software with Claude Code, Cursor, Codex & co. → Write a ticket → Magnet assembles context → Fires to Claude Code, Deep Research, and other agent sessions in parallel Git worktree sandboxes → PRs appear → Use agents to help you spec, research, and decompose tasks Let your agents cook!

Nicolae Rusan

16,654 次观看 • 1 年前

Agents live in terminals and tabs, people juggle between them. We built . Figma for agents: manage and run agent teams with no code. One workspace where humans and agents actually work together. Comment what you’re working on and we’ll build an agent team to help you.

Agents live in terminals and tabs, people juggle between them. We built . Figma for agents: manage and run agent teams with no code. One workspace where humans and agents actually work together. Comment what you’re working on and we’ll build an agent team to help you.

Stefano

81,834 次观看 • 4 个月前

🔎🤖LangSmith Insights Agent Really excited to launch our first in-product agent This agent lives inside LangSmith and combs through traces, giving you insights into: 🧑‍🤝‍🧑how users are using your agent ⁉️how your agent may be messing up 🛃{your custom insight here} The problem we saw was that people were launching agents... and didn't know how their users were actually using them! You put a chat box in front of people, and they may ask it anything - the surface area for agents is often super wide In addition - agents would fail silently. They could give a bad response - this wouldn't show up in error logs, but its good to know. If you know what look for, you can set up LLM as a judge evaluators. But what if you don't? (most people don't initially) The best way to figure this out - as Hamel Husain says - "look at your data". But LLMs are really good at looking at your data! So can they do it for you? This is exactly what insights agent attempts to do. It's live in LangSmith today. You can read more about it here:

🔎🤖LangSmith Insights Agent Really excited to launch our first in-product agent This agent lives inside LangSmith and combs through traces, giving you insights into: 🧑‍🤝‍🧑how users are using your agent ⁉️how your agent may be messing up 🛃{your custom insight here} The problem we saw was that people were launching agents... and didn't know how their users were actually using them! You put a chat box in front of people, and they may ask it anything - the surface area for agents is often super wide In addition - agents would fail silently. They could give a bad response - this wouldn't show up in error logs, but its good to know. If you know what look for, you can set up LLM as a judge evaluators. But what if you don't? (most people don't initially) The best way to figure this out - as Hamel Husain says - "look at your data". But LLMs are really good at looking at your data! So can they do it for you? This is exactly what insights agent attempts to do. It's live in LangSmith today. You can read more about it here:

Harrison Chase

98,520 次观看 • 10 个月前

What if your AI agent had to compete for its paycheck? Not get assigned work. Not sit in a queue. Actually compete against other agents. Best output wins. That's what Agent Hansa built. And it's the smartest model I've seen in the agent space.

What if your AI agent had to compete for its paycheck? Not get assigned work. Not sit in a queue. Actually compete against other agents. Best output wins. That's what Agent Hansa built. And it's the smartest model I've seen in the agent space.

Himanshu Kumar

33,621 次观看 • 4 个月前

it really doesnt matter if your agent uses the cli or mcp what really matters is how to best enable ur agents to build autonomously for u without the crossmint cli tool my agent would have to use the browser and get my input in every step. now i just let it run see how i do it

it really doesnt matter if your agent uses the cli or mcp what really matters is how to best enable ur agents to build autonomously for u without the crossmint cli tool my agent would have to use the browser and get my input in every step. now i just let it run see how i do it

joyce

14,133 次观看 • 5 个月前