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We just gave CLI execution to smolagents! ✨ smolagent "Your task" directly launches a CodeAgent ▶️This also works with web agents (replace 'smolagent' with 'webagent') thanks to merve! 💾 Another treat from release 1.7.0: Now agents have a memory mechanism, enabling many possibilities like replaying the last run with... show more

m_ric

7,864 subscribers

14,128 次观看 • 1 年前 •via X (Twitter)

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5 条评论

Piyush 的头像

Piyush1 年前

@mervenoyann wow🔥

Fast Company 的头像

Fast Company1 年前

#AI agents: from tools to teammates. Software that can act, react, and interact with both humans and other agents will transform how businesses operate—and how they should invest in technology. This @EY_US article explains more. #ad

Pablo Sanzo 的头像

Pablo Sanzo1 年前

@mervenoyann Wait, is this the first time you're introducing 'webagent'? I didn't see it before

Aymeric (m-ric) 的头像

Aymeric (m-ric)1 年前

@mervenoyann We did a blog post demoing an example of it, but it's the first release that makes it part of the core code (contributed by @merve)

Pablo Sanzo 的头像

Pablo Sanzo1 年前

@mervenoyann Cool! How do you give tools (e.g. "DuckDuckGoSearchTool") and additional_authorized_imports (e.g. "yfinance") in CLI?

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do you understand what just shipped? → AI agents can now design directly on Figma’s canvas. not cheesy mockups… or lame screenshots… real native Figma assets wired to your actual design system → the use_figma MCP tool lets Claude Code, Codex, Cursor, and 6 other coding agents write directly to your Figma files → agents read your component library first and build with what already exists… variables, tokens, auto layout, the works → skills let you teach agents HOW your team designs. a skill is just a markdown file… anyone who understands Figma can write one → also works with Copilot CLI, Copilot in VS Code, Factory, Firebender, Augment, and Warp → free during beta… usage based pricing coming later the design to code gap that’s haunted every product team just collapsed in front of our eyes. designers hand off to agents now no need to wait on developers anymore everyone can take a deep breath now if you’re building products and not connecting Figma to your agents yet, you’re leaving serious speed on the table. set this up today. you’ll thank me later

do you understand what just shipped? → AI agents can now design directly on Figma’s canvas. not cheesy mockups… or lame screenshots… real native Figma assets wired to your actual design system → the use_figma MCP tool lets Claude Code, Codex, Cursor, and 6 other coding agents write directly to your Figma files → agents read your component library first and build with what already exists… variables, tokens, auto layout, the works → skills let you teach agents HOW your team designs. a skill is just a markdown file… anyone who understands Figma can write one → also works with Copilot CLI, Copilot in VS Code, Factory, Firebender, Augment, and Warp → free during beta… usage based pricing coming later the design to code gap that’s haunted every product team just collapsed in front of our eyes. designers hand off to agents now no need to wait on developers anymore everyone can take a deep breath now if you’re building products and not connecting Figma to your agents yet, you’re leaving serious speed on the table. set this up today. you’ll thank me later

klöss

101,073 次观看 • 3 个月前

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much *anything* because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much anything because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.

Santiago

18,677 次观看 • 19 天前

Sierra agents can be published on your web site, integrated with your mobile app, answer the phone - and now they can also be published to ChatGPT so you can directly reach hundreds of millions of consumers with your agent. Since OpenAI announced ChatGPT apps two weeks ago, we've heard from our customers that they want two things: a direct customer relationship and the ability to reach customers where they already are. We don't think you should have to choose. With Sierra, you can build once and run everywhere. Here's a demo of an agent I built to show how it works. And our blog post is here:

Sierra agents can be published on your web site, integrated with your mobile app, answer the phone - and now they can also be published to ChatGPT so you can directly reach hundreds of millions of consumers with your agent. Since OpenAI announced ChatGPT apps two weeks ago, we've heard from our customers that they want two things: a direct customer relationship and the ability to reach customers where they already are. We don't think you should have to choose. With Sierra, you can build once and run everywhere. Here's a demo of an agent I built to show how it works. And our blog post is here:

Bret Taylor

55,488 次观看 • 8 个月前

Our latest LangChain Academy course – Building Ambient Agents with LangGraph – is now available! Most agents today handle one request at a time through chat interfaces. But as models have improved, agents can now run in the background – and take on long-running, complex tasks. LangGraph is built for these “ambient agents,” with support for human-in-the-loop workflows and memory. LangGraph Platform provides the infrastructure to run these agents at scale, and LangSmith helps you observe, evaluate, and improve your agents. Together, they make it easier to build reliable, production-ready agents. In this course, you’ll: 📩 Learn the fundamentals of LangGraph and how to build your own email agent 📊 Evaluate your agent using LangSmith ✅ Add human-in-the-loop for reviews, and memory so your agent adapts over time 🚀 Deploy your agent with LangGraph Platform and connect it to Gmail

Our latest LangChain Academy course – Building Ambient Agents with LangGraph – is now available! Most agents today handle one request at a time through chat interfaces. But as models have improved, agents can now run in the background – and take on long-running, complex tasks. LangGraph is built for these “ambient agents,” with support for human-in-the-loop workflows and memory. LangGraph Platform provides the infrastructure to run these agents at scale, and LangSmith helps you observe, evaluate, and improve your agents. Together, they make it easier to build reliable, production-ready agents. In this course, you’ll: 📩 Learn the fundamentals of LangGraph and how to build your own email agent 📊 Evaluate your agent using LangSmith ✅ Add human-in-the-loop for reviews, and memory so your agent adapts over time 🚀 Deploy your agent with LangGraph Platform and connect it to Gmail

LangChain

33,192 次观看 • 1 年前

🌟Our latest LangChain Academy course – Deep Agents with LangGraph – is now live!🌟 Many agents today follow the same simple pattern: run in a loop, call tools. That architecture works well enough, but it breaks down as tasks get more complex. Today, companies of all sizes – from startups to large enterprises – are building their own Deep Agents. These agents dive deeper. They’re able to plan complex tasks and carry them out over longer time horizons. There are four key features that set Deep Agents apart from regular agents: 1. Planning – keeps agents on track 2. File system – allows agents to offload context 3. Sub-agents – act as focused specialists 4. Prompting – provides agents with detailed instructions Our latest LangChain Academy course, Deep Agents with LangGraph, shows you how to combine these pieces with LangGraph to orchestrate long-running, multi-agent workflows. Big thanks to community member Dmitry Labazkin for helping us shape this course with his contributions! Enroll for free ➡️

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LangChain

63,349 次观看 • 9 个月前

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Santiago

43,749 次观看 • 25 天前

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BlastAI

38,410 次观看 • 2 年前

Claudia Update: First of many. The users asked. We delivered. ✨ WHAT'S NEW IN CLAUDIA? - You can now drag and drop images and screenshots on Claudia and preview them with a similar and familiar UX to Cursor. - HIGHLIGHT: Interactive Web Previews, just like the ones in v0, Lovable, and Bolt. And Claude can see what you're seeing just by clicking "Send to Claude"! 🔥 🔜 WHAT'S COMING - Shareable Agents: Create and share CC Agents. Releasing tomorrow! - Remote Claude: Interact with your Claude Code instance from anywhere. Reply with your feature requests and we'll ship the ones people want! Follow along! ❤️

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mufeed vh

13,981 次观看 • 1 年前

I think i found the best place to actually get work done right now. Imagine one hub with every popular LLM inside and the ability to plug them into any app you use. This is where it stops feeling like separate tools: You drop your coworkers into a chat with the AI agents and work on the task together, in one place. And the agents don't just answer, they check each other's work. One drafts, another pushes back, another catches what's missing. This isn't the future. it's Bloome.

I think i found the best place to actually get work done right now. Imagine one hub with every popular LLM inside and the ability to plug them into any app you use. This is where it stops feeling like separate tools: You drop your coworkers into a chat with the AI agents and work on the task together, in one place. And the agents don't just answer, they check each other's work. One drafts, another pushes back, another catches what's missing. This isn't the future. it's Bloome.

Anatoli Kopadze

56,998 次观看 • 8 天前

Imagine if your way of thinking - your edge, your taste, your strategy - could be turned into a high-performance worker. Not a copy of you. Something better. An agent that acts on your judgment at scale, powered by superintelligent systems and refined through real-world results. That’s what Fraction AI makes possible. It launches today on Base mainnet. The core idea is simple: You create AI agents based on your own way of approaching problems. These agents compete on live tasks - writing, coding, finance, whatever - get feedback, learn from their performance, and improve over time. The better they get, the more they win. And so do you. No code required. Just your insight. Why now? Until now, building agents like this took huge teams and even bigger budgets. But with Fraction, anyone can do it. You can test ideas instantly. You can iterate fast. You can build a fleet of smart workers that evolve through competition. And it works. 30M+ sessions on testnet 320K users 1.2M agents already competing How it works? Agents join sessions within a Space - a domain like finance, writing, or games. Each session runs as a series of competitive rounds. In every round, agents try to generate the best solution to a task. Their outputs are scored by a decentralized network of AI judges trained to evaluate quality for that domain. The top agents in each round earn rewards from the pooled entry fees. The losers get to learn. Feedback from each round helps them adjust and improve, and every session becomes a training loop. What it means? Fraction is a decentralized intelligence economy - a system where your ideas become agents, and agents earn by proving they work. You don’t need credentials or code. Just a clear point of view. If your thinking holds up under pressure, your agents will rise. This kind of AI used to live in corporate labs, built by PhDs with massive compute. Now anyone with a smart idea and an internet connection can build agents that compete, learn, and earn on their behalf.

Imagine if your way of thinking - your edge, your taste, your strategy - could be turned into a high-performance worker. Not a copy of you. Something better. An agent that acts on your judgment at scale, powered by superintelligent systems and refined through real-world results. That’s what Fraction AI makes possible. It launches today on Base mainnet. The core idea is simple: You create AI agents based on your own way of approaching problems. These agents compete on live tasks - writing, coding, finance, whatever - get feedback, learn from their performance, and improve over time. The better they get, the more they win. And so do you. No code required. Just your insight. Why now? Until now, building agents like this took huge teams and even bigger budgets. But with Fraction, anyone can do it. You can test ideas instantly. You can iterate fast. You can build a fleet of smart workers that evolve through competition. And it works. 30M+ sessions on testnet 320K users 1.2M agents already competing How it works? Agents join sessions within a Space - a domain like finance, writing, or games. Each session runs as a series of competitive rounds. In every round, agents try to generate the best solution to a task. Their outputs are scored by a decentralized network of AI judges trained to evaluate quality for that domain. The top agents in each round earn rewards from the pooled entry fees. The losers get to learn. Feedback from each round helps them adjust and improve, and every session becomes a training loop. What it means? Fraction is a decentralized intelligence economy - a system where your ideas become agents, and agents earn by proving they work. You don’t need credentials or code. Just a clear point of view. If your thinking holds up under pressure, your agents will rise. This kind of AI used to live in corporate labs, built by PhDs with massive compute. Now anyone with a smart idea and an internet connection can build agents that compete, learn, and earn on their behalf.

Fraction AI

67,772 次观看 • 1 年前

If you’re going to protest Federal ICE agents doing their job & use a vehicle as a weapon & try to run over an agent or go with a loaded handgun with one bullet in the chamber & two full magazines & then get into a physical altercation with the agents, I don’t feel sorry for you. Some people have forgotten that these illegal imigrants are coming and harming Americans and y’all think everyone in this country is just going to look the other way? We are not. They need to be deported and our laws need to be enforced. If you are preventing the laws from being enforced, then you have to deal with the consequences of your actions.

If you’re going to protest Federal ICE agents doing their job & use a vehicle as a weapon & try to run over an agent or go with a loaded handgun with one bullet in the chamber & two full magazines & then get into a physical altercation with the agents, I don’t feel sorry for you. Some people have forgotten that these illegal imigrants are coming and harming Americans and y’all think everyone in this country is just going to look the other way? We are not. They need to be deported and our laws need to be enforced. If you are preventing the laws from being enforced, then you have to deal with the consequences of your actions.

👉M-Û-R-Č-H👈

14,099 次观看 • 5 个月前

We are super excited to make Restate Cloud publicly available today. Durable Execution, observability, and production-grade availability for workflows or AI agents. This release makes very smooth to work with serverless compute platforms like Cloudflare, Vercel, or Deno. And of course, your own infra on AWS, GCP, or Kubernetes. Signup is free and a few clicks with your GitHub account. A new built-in tutorial let's you run a first durable agent running in seconds. 👇

We are super excited to make Restate Cloud publicly available today. Durable Execution, observability, and production-grade availability for workflows or AI agents. This release makes very smooth to work with serverless compute platforms like Cloudflare, Vercel, or Deno. And of course, your own infra on AWS, GCP, or Kubernetes. Signup is free and a few clicks with your GitHub account. A new built-in tutorial let's you run a first durable agent running in seconds. 👇

Stephan Ewen

30,681 次观看 • 9 个月前

The #1 problem with coding agents right now: Ask them to solve one problem, and they will make 10 other changes you didn't want. This happens to me every day. It happens to everyone I talk to as well. We have a solution for this now. The team Augment Code released a "Task List" feature for their coding assistant that solves this problem. Augment Code is partnering with me on this post. In case you haven't used them before: • Augment Code is a fully-fledged coding assistant • Their specialty are large projects • Fastest coding indexing I've seen • Has a free forever community edition Now, you can ask their coding agent to generate a Task List before doing anything. This will give you a plan you can review, edit, and augment if you need to. You can export this plan, load it on a different session, or even share it across projects. It makes a huge difference: The task list constrains the agent so you won't get any "unintended" changes anymore. It also puts you in control of everything the agent does. Check the video to see the agent working through a task list. You can also try this 100% free: (By the way, they also have support for remote agents. You can basically have those agents write your code while you are sleeping.)

The #1 problem with coding agents right now: Ask them to solve one problem, and they will make 10 other changes you didn't want. This happens to me every day. It happens to everyone I talk to as well. We have a solution for this now. The team Augment Code released a "Task List" feature for their coding assistant that solves this problem. Augment Code is partnering with me on this post. In case you haven't used them before: • Augment Code is a fully-fledged coding assistant • Their specialty are large projects • Fastest coding indexing I've seen • Has a free forever community edition Now, you can ask their coding agent to generate a Task List before doing anything. This will give you a plan you can review, edit, and augment if you need to. You can export this plan, load it on a different session, or even share it across projects. It makes a huge difference: The task list constrains the agent so you won't get any "unintended" changes anymore. It also puts you in control of everything the agent does. Check the video to see the agent working through a task list. You can also try this 100% free: (By the way, they also have support for remote agents. You can basically have those agents write your code while you are sleeping.)

Santiago

41,738 次观看 • 11 个月前

Codex 0.107.0 is here, and with it: FORKS🍴 This minor update includes the ability to fork your current chat history directly with custom multi agents with just a quick prompt. "Fork this session using n subagent(s)" This unlocks some interesting use-cases where you can launch multiple agents that retain all of your chat history up to that point, each in their own independent session. For example, you've been discussing architecture with Codex for 20 minutes, talked through constraints, reviewed existing code, settled on a model. Now you want to see two different implementation strategies side by side. Fork lets both children start from that full shared understanding. With a normal spawn, you'd have to re-explain the entire context to each child, and they'd inevitably miss nuance from the earlier conversation - which is basically a form of compaction/compression. With something like this, you could also just tell it to fork itself 5 times, and implement the same UI/frontend 5 different times in their own worktree to see which one you like the most. Other potential uses: - branching after reviews - try and rollback patterns using worktrees - parallel debugging strategies Otherwise, this is a minor update with improvements to the app server, realtime transcription, and memory. Enjoy!

Codex 0.107.0 is here, and with it: FORKS🍴 This minor update includes the ability to fork your current chat history directly with custom multi agents with just a quick prompt. "Fork this session using n subagent(s)" This unlocks some interesting use-cases where you can launch multiple agents that retain all of your chat history up to that point, each in their own independent session. For example, you've been discussing architecture with Codex for 20 minutes, talked through constraints, reviewed existing code, settled on a model. Now you want to see two different implementation strategies side by side. Fork lets both children start from that full shared understanding. With a normal spawn, you'd have to re-explain the entire context to each child, and they'd inevitably miss nuance from the earlier conversation - which is basically a form of compaction/compression. With something like this, you could also just tell it to fork itself 5 times, and implement the same UI/frontend 5 different times in their own worktree to see which one you like the most. Other potential uses: - branching after reviews - try and rollback patterns using worktrees - parallel debugging strategies Otherwise, this is a minor update with improvements to the app server, realtime transcription, and memory. Enjoy!

am.will

42,504 次观看 • 4 个月前

Karpathy just described what hiring looks like in 2026: "Build a large project with Claude Code — like a Twitter clone. Make it secure. Have real agents using the platform doing stuff. The interviewer uses parallel agents trying to break in to verify security." One person. Multiple agents. Shipping and defending production code simultaneously. This is not a future job description. This is happening right now. The founders who get there first are not the smartest ones in the room. They are the ones who stopped doing everything themselves and built agents to do it for them. Here is the complete playbook — 13 agents, exact prompts, 90-day build plan ↓ Read this before your competition does.

Karpathy just described what hiring looks like in 2026: "Build a large project with Claude Code — like a Twitter clone. Make it secure. Have real agents using the platform doing stuff. The interviewer uses parallel agents trying to break in to verify security." One person. Multiple agents. Shipping and defending production code simultaneously. This is not a future job description. This is happening right now. The founders who get there first are not the smartest ones in the room. They are the ones who stopped doing everything themselves and built agents to do it for them. Here is the complete playbook — 13 agents, exact prompts, 90-day build plan ↓ Read this before your competition does.

Rahul

432,182 次观看 • 2 个月前

"Everyone will have a team of AI agents." Arvind (CEO Glean) and I had a great chat about how you can delegate work to AI agents now, even without knowing how to code. In my new episode, Arvind Jain reveals: • How to build AI agents for work today • Glean's secret to reaching $100M ARR in 3 years • 3 critical skills for building AI products Some quotes from Arvind: "We will all have this amazing team of agents around us who will handle most of our work because they understand who we are." "With enterprise AI, you can't just ship products and expect customers to adopt them. You need a collaborative go-to-market motion like this..." "With AI products, the ground is always shifting beneath your feet, so you need these three principles..." 📌 Watch now:

"Everyone will have a team of AI agents." Arvind (CEO Glean) and I had a great chat about how you can delegate work to AI agents now, even without knowing how to code. In my new episode, Arvind Jain reveals: • How to build AI agents for work today • Glean's secret to reaching $100M ARR in 3 years • 3 critical skills for building AI products Some quotes from Arvind: "We will all have this amazing team of agents around us who will handle most of our work because they understand who we are." "With enterprise AI, you can't just ship products and expect customers to adopt them. You need a collaborative go-to-market motion like this..." "With AI products, the ground is always shifting beneath your feet, so you need these three principles..." 📌 Watch now:

Peter Yang

29,149 次观看 • 1 年前

Genesis Update: Recognized Staked Agents Now Eligible for Points Starting today, all Recognized Staked Agents are now eligible for point staking through Genesis Launch. ---- Why This Matters Genesis Launch is designed to prioritize real builders, not empty hype. Recognized Staked Agents represent agents with verified traction, accountability, and contribution to the Virtuals ecosystem. ---- By enabling point staking: Builders are rewarded for commitment. Virgens gain more transparent ways to support proven agents. The network strengthens with every verified stake. At the same time, we’re protecting the Genesis system from noise. Only agents that meet our minimum standards are eligible. ___ How It Works If your agent is already a Recognized Staked Agent → you are immediately eligible for point staking. If not → apply for evaluation through the link above. Applications are reviewed on a rolling basis. This ensures staking rewards are aligned with the strongest contributors to the agent economy. More recognition. More accountability. More value back to real builders.

Genesis Update: Recognized Staked Agents Now Eligible for Points Starting today, all Recognized Staked Agents are now eligible for point staking through Genesis Launch. ---- Why This Matters Genesis Launch is designed to prioritize real builders, not empty hype. Recognized Staked Agents represent agents with verified traction, accountability, and contribution to the Virtuals ecosystem. ---- By enabling point staking: Builders are rewarded for commitment. Virgens gain more transparent ways to support proven agents. The network strengthens with every verified stake. At the same time, we’re protecting the Genesis system from noise. Only agents that meet our minimum standards are eligible. ___ How It Works If your agent is already a Recognized Staked Agent → you are immediately eligible for point staking. If not → apply for evaluation through the link above. Applications are reviewed on a rolling basis. This ensures staking rewards are aligned with the strongest contributors to the agent economy. More recognition. More accountability. More value back to real builders.

Virtuals Protocol

80,727 次观看 • 1 年前

SilkAI is live. Try it now: 🔥 The first version of our intelligent web experience is ready for you to explore, directly in your browser, no downloads needed. You can: • Chat with intelligent AI agents • Create and train your own characters • Explore a new layer of interactive AI Built from scratch with love, obsession, and way too many late nights, this is your moment to dive in. And behind the scenes? We’re already working on something wilder: real-world robotics. Talk. Create. Go deep. Try it free. Let SilkAI surprise you.

SilkAI is live. Try it now: 🔥 The first version of our intelligent web experience is ready for you to explore, directly in your browser, no downloads needed. You can: • Chat with intelligent AI agents • Create and train your own characters • Explore a new layer of interactive AI Built from scratch with love, obsession, and way too many late nights, this is your moment to dive in. And behind the scenes? We’re already working on something wilder: real-world robotics. Talk. Create. Go deep. Try it free. Let SilkAI surprise you.

NetVRk

28,905 次观看 • 1 年前