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。

Anthropic, Claude Agent SDK: "Agents build their own context, decide their own trajectories, and work autonomously."

0xMarioNawfal

258,515 subscribers

37,324 次观看 • 2 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

Meet Replit Parallel Agents Build faster by running up to 10 agents in parallel Each agent gets its own copy of your app They work on their own computer Then merge their work agentically

Meet Replit Parallel Agents Build faster by running up to 10 agents in parallel Each agent gets its own copy of your app They work on their own computer Then merge their work agentically

Replit ⠕

708,601 次观看 • 4 个月前

The Claude Code SDK is now the Claude Agent SDK Why? Because we realized the Claude Code agent harness is useful for much more than coding. In fact, we're moving to using it to power most of our own agent loops at Anthropic.

The Claude Code SDK is now the Claude Agent SDK Why? Because we realized the Claude Code agent harness is useful for much more than coding. In fact, we're moving to using it to power most of our own agent loops at Anthropic.

Thariq

207,146 次观看 • 11 个月前

It's Independence Day... for agents. Stripe + x402 support on Agent Cloud lets your agents pay for their own compute. Autonomously. On-chain. In real time. No human in the loop. Only on

It's Independence Day... for agents. Stripe + x402 support on Agent Cloud lets your agents pay for their own compute. Autonomously. On-chain. In real time. No human in the loop. Only on

io.net

15,728 次观看 • 2 个月前

Specialized AI agents help enterprises turn AI into systems built for their own workflows. NVIDIA Agent Toolkit brings together open Nemotron models, tools, skills and secure runtime support to help teams build agents tuned for domain-specific work. Learn more:

Specialized AI agents help enterprises turn AI into systems built for their own workflows. NVIDIA Agent Toolkit brings together open Nemotron models, tools, skills and secure runtime support to help teams build agents tuned for domain-specific work. Learn more:

NVIDIA

81,019 次观看 • 3 个月前

"I have an agent. It's on its own system. It's on its own computer. It has access to its own tools. I probably don't give it access to my entire life…it sort of has this sandbox environment." Aaron Levie joined Latent.Space to break down how AI agents will need their own computers and sandboxed environments to work autonomously.

"I have an agent. It's on its own system. It's on its own computer. It has access to its own tools. I probably don't give it access to my entire life…it sort of has this sandbox environment." Aaron Levie joined Latent.Space to break down how AI agents will need their own computers and sandboxed environments to work autonomously.

Box

720,353 次观看 • 6 个月前

Anthropic engineer: "You're not supposed to prompt Claude. You're supposed to build a system that prompts itself." In 45 minutes she shows exactly how Anthropic builds agents that remember, fix their own mistakes and get smarter with every run. This beats any paid course on agents I've seen. Watch it, then read the guide on building loops below.

Anthropic engineer: "You're not supposed to prompt Claude. You're supposed to build a system that prompts itself." In 45 minutes she shows exactly how Anthropic builds agents that remember, fix their own mistakes and get smarter with every run. This beats any paid course on agents I've seen. Watch it, then read the guide on building loops below.

Anatoli Kopadze

2,144,860 次观看 • 2 个月前

Anthropic engineer: "You're not supposed to prompt Claude. You're supposed to build a system that prompts itself." In 45 minutes she shows exactly how Anthropic builds agents that remember, fix their own mistakes and get smarter with every run. This beats any paid course on agents I've seen. Watch it, then read the guide on building loops below.

Anthropic engineer: "You're not supposed to prompt Claude. You're supposed to build a system that prompts itself." In 45 minutes she shows exactly how Anthropic builds agents that remember, fix their own mistakes and get smarter with every run. This beats any paid course on agents I've seen. Watch it, then read the guide on building loops below.

Anatoli Kopadze

305,296 次观看 • 25 天前

Anthropic engineer: "You're not supposed to prompt Claude. You're supposed to build a system that prompts itself." In 45 minutes she shows exactly how Anthropic builds agents that remember, fix their own mistakes and get smarter with every run. This beats any paid course on agents I've seen. Watch it, then read the guide on building loops below.

Anthropic engineer: "You're not supposed to prompt Claude. You're supposed to build a system that prompts itself." In 45 minutes she shows exactly how Anthropic builds agents that remember, fix their own mistakes and get smarter with every run. This beats any paid course on agents I've seen. Watch it, then read the guide on building loops below.

Anatoli Kopadze

205,622 次观看 • 15 天前

we just shipped the ability for AI agents to launch their own tokens, own their own wallets, and pay for their own compute via bankrbot the agent earns its keep. no human in the loop live now. here's how it works ↓

we just shipped the ability for AI agents to launch their own tokens, own their own wallets, and pay for their own compute via bankrbot the agent earns its keep. no human in the loop live now. here's how it works ↓

InstaClaw

53,777 次观看 • 4 个月前

in 9 minutes on the Tokyo stage, Angela Jang, head of product for the Claude platform, said the part most builders still haven't figured out: "a model is only as good as the context that you actually give it." that's the whole game now. not the prompt. the context. what your agent remembers. what skills it can pull. what it learns from its own past runs. anthropic now ships all three: memory, skills, and dreaming. agents that inspect their own trajectories and self-improve. demoed live this week. the prompt was never the bottleneck. the context was. most people are still tweaking words in a chat box. the ones who get this engineer the context their agents run on. watch the 9 minutes. then read the full breakdown below ⬇️

in 9 minutes on the Tokyo stage, Angela Jang, head of product for the Claude platform, said the part most builders still haven't figured out: "a model is only as good as the context that you actually give it." that's the whole game now. not the prompt. the context. what your agent remembers. what skills it can pull. what it learns from its own past runs. anthropic now ships all three: memory, skills, and dreaming. agents that inspect their own trajectories and self-improve. demoed live this week. the prompt was never the bottleneck. the context was. most people are still tweaking words in a chat box. the ones who get this engineer the context their agents run on. watch the 9 minutes. then read the full breakdown below ⬇️

Avid

34,565 次观看 • 3 个月前

Agents need files to keep track of their work, they leverage files as context about the tasks they’re doing, and use them to share back and forth with their human counterparts. Aaron Levie spoke with CNBC about and the importance of agents having their own filesystems.

Agents need files to keep track of their work, they leverage files as context about the tasks they’re doing, and use them to share back and forth with their human counterparts. Aaron Levie spoke with CNBC about and the importance of agents having their own filesystems.

Box

402,716 次观看 • 6 个月前

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 👇

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 次观看 • 5 个月前

I built an AI system that builds itself. Not metaphorically. The AI agents literally rewrote their own orchestrator, tested it, reviewed their own code, fixed their own CI failures, and shipped it. Introducing Agent Orchestrator. Open source. Link below.

I built an AI system that builds itself. Not metaphorically. The AI agents literally rewrote their own orchestrator, tested it, reviewed their own code, fixed their own CI failures, and shipped it. Introducing Agent Orchestrator. Open source. Link below.

prateek

283,528 次观看 • 7 个月前

Agents need their own identity to do real work on the web. We partnered with Ramp to automate our event logistics workflow. Our agent logs into sites with a Browserbase Context, downloads receipts, and submits them via the Ramp CLI.

Agents need their own identity to do real work on the web. We partnered with Ramp to automate our event logistics workflow. Our agent logs into sites with a Browserbase Context, downloads receipts, and submits them via the Ramp CLI.

Browserbase

23,753 次观看 • 26 天前

Anthropic engineer: "The fastest way to make an agent better isn't a smarter model, it's the right loop and graph around it." In 60 minutes she breaks down how Anthropic engineers use Claude Code, build agents that catch their own mistakes and improve with every run. This beats any $500 agentic engineering course you can find. Watch it, then read the full guide on loops and graphs below.

Anthropic engineer: "The fastest way to make an agent better isn't a smarter model, it's the right loop and graph around it." In 60 minutes she breaks down how Anthropic engineers use Claude Code, build agents that catch their own mistakes and improve with every run. This beats any $500 agentic engineering course you can find. Watch it, then read the full guide on loops and graphs below.

Anatoli Kopadze

135,539 次观看 • 1 个月前

Not only is OpenAi agents breaking loose… Anthropic just found 3 of their own hacking other companies.

Not only is OpenAi agents breaking loose… Anthropic just found 3 of their own hacking other companies.

Travis Wright

14,364 次观看 • 1 个月前

10 OFFICIAL GITHUB REPOS FROM DEEPSEEK, ANTHROPIC, OPENAI, GOOGLE, XAI & CURSOR: DeepSeek Harness — Claude Skills — OpenAI Cookbook — Claude Cookbooks — Grok Build — OpenAI Agents SDK — Gemini Cookbook — Google ADK — Cursor Cookbook — Cursor Plugins —

10 OFFICIAL GITHUB REPOS FROM DEEPSEEK, ANTHROPIC, OPENAI, GOOGLE, XAI & CURSOR: DeepSeek Harness — Claude Skills — OpenAI Cookbook — Claude Cookbooks — Grok Build — OpenAI Agents SDK — Gemini Cookbook — Google ADK — Cursor Cookbook — Cursor Plugins —

0xMarioNawfal

51,445 次观看 • 1 个月前

Introducing web-agent, an open framework for building web agents 🔥 Build AI agents that search, scrape, and interact with the web - powered by the same architecture behind our /agent endpoint. 100% open source. Bring any model. Anthropic, OpenAI, or your own.

Introducing web-agent, an open framework for building web agents 🔥 Build AI agents that search, scrape, and interact with the web - powered by the same architecture behind our /agent endpoint. 100% open source. Bring any model. Anthropic, OpenAI, or your own.

Firecrawl

123,983 次观看 • 5 个月前

Claude R Perrin Code SDK is under-rated One cool part with Claude Code SDK is that it supports full features out of box: - Skills - Sub agents - Hooks - ... Which means you can use claude code CLI as a debug tool to build agent, and then import to your Claude code powered agent Here is a quick example of a pptx presentation agent using Claude Code SDK + doc skills Code example from AI Builder Club by Kai:

Claude R Perrin Code SDK is under-rated One cool part with Claude Code SDK is that it supports full features out of box: - Skills - Sub agents - Hooks - ... Which means you can use claude code CLI as a debug tool to build agent, and then import to your Claude code powered agent Here is a quick example of a pptx presentation agent using Claude Code SDK + doc skills Code example from AI Builder Club by Kai:

Jason Zhou

11,981 次观看 • 11 个月前

putting the Claude Agent SDK to the test with an Ad Agent - finds competitors, learns from their ads - prompts and generates on brand creatives - packages it in a shareable report I can run this autonomously or with a prompt. no node based workflows needed

The Boring Marketer

77,600 次观看 • 8 个月前