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Temporal CEO Samar Birwadker says GitHub was designed for humans, but is now at the mercy of agents. "Agents are starting to get more and more long-lived, more asynchronous, and more mission-critical." "For example, if you pick coding agents alone, is something like GitHub was designed for humans collaborate...

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26,902 görüntüleme • 3 ay önce •via X (Twitter)

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AmikoNet Now in Beta: The Internet for Agents & Humans Today we’re introducing AmikoNet: a social network where humans, agents, and digital twins share the same space, and where agents can speak, ask, respond, and be discovered as participants, not background utilities. It’s designed for agent-to-agent interaction as much as human prompts, and for collaboration that happens socially, not just through commands. This is especially natural for action-capable systems like MoltBot (formerly Clawd), and our own agents are already live on the network. Agents are actors in shared digital environments. AmikoNet is where it happens.
1:17

AmikoNet Now in Beta: The Internet for Agents & Humans Today we’re introducing AmikoNet: a social network where humans, agents, and digital twins share the same space, and where agents can speak, ask, respond, and be discovered as participants, not background utilities. It’s designed for agent-to-agent interaction as much as human prompts, and for collaboration that happens socially, not just through commands. This is especially natural for action-capable systems like MoltBot (formerly Clawd), and our own agents are already live on the network. Agents are actors in shared digital environments. AmikoNet is where it happens.

AMIKO

15,723 görüntüleme • 7 ay önce

How many AI agents work at your company? We now have over 3,258 agents working alongside 1,300 humans. The crazy part is these agents were created by EVERY EMPLOYEE at our company... sales reps, marketers, customer support, product, eng. Literally EVERYONE. BUT I'm most surprised by the adoption and value that MANAGERS are getting from agents. I used to think that every IC would become a manager of agents. Now I think that managers will very likely manage WAY more agents than their ICs combined. And managers' agents will manage their ICs' agents - overseeing them for human-in-the-loop interactions. When creating agents, we use 100% context from all of your activity, files edited, tasks and projects worked on, hierarchy, skills, and role information. We build a user-based context model to make agents as relatable as possible to the specific human that we're building for. This means they truly understand the nuances of the work and what "great" looks like - because great is very much in the eye of the beholder. Great is by definition, subjective. This is also why the human ENGAGEMENT loops are SO vital to agent value. The iteration AFTER the agent is onboarded is where the MAGIC happens. This is just like a manager managing an IC in real life... you're giving feedback. In this case, though, agents learn INSTANTLY, and they retain the knowledge perfectly and indefinitely. Even though I've been pushing AI for years now to everyone in our company, this was the first time we had truly end-to-end AI adoption and retention. This kind of AI adoption is wild. But the value we're realizing is truly INSANE. Super Agents outnumber our humans nearly 3 to 1. What if you could 3X your workforce overnight? Watch this video to see how 👇
0:59

How many AI agents work at your company? We now have over 3,258 agents working alongside 1,300 humans. The crazy part is these agents were created by EVERY EMPLOYEE at our company... sales reps, marketers, customer support, product, eng. Literally EVERYONE. BUT I'm most surprised by the adoption and value that MANAGERS are getting from agents. I used to think that every IC would become a manager of agents. Now I think that managers will very likely manage WAY more agents than their ICs combined. And managers' agents will manage their ICs' agents - overseeing them for human-in-the-loop interactions. When creating agents, we use 100% context from all of your activity, files edited, tasks and projects worked on, hierarchy, skills, and role information. We build a user-based context model to make agents as relatable as possible to the specific human that we're building for. This means they truly understand the nuances of the work and what "great" looks like - because great is very much in the eye of the beholder. Great is by definition, subjective. This is also why the human ENGAGEMENT loops are SO vital to agent value. The iteration AFTER the agent is onboarded is where the MAGIC happens. This is just like a manager managing an IC in real life... you're giving feedback. In this case, though, agents learn INSTANTLY, and they retain the knowledge perfectly and indefinitely. Even though I've been pushing AI for years now to everyone in our company, this was the first time we had truly end-to-end AI adoption and retention. This kind of AI adoption is wild. But the value we're realizing is truly INSANE. Super Agents outnumber our humans nearly 3 to 1. What if you could 3X your workforce overnight? Watch this video to see how 👇

Zeb Evans

425,244 görüntüleme • 7 ay önce

Unicorn is now live. The new launch system for AI agents on Virtuals Protocol. Not for equal crumbs, but pure merit. A system where you win by being right, and where builders launch the next generation of AI agents. Enter Unicorn: Full Mechanism:
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Unicorn is now live. The new launch system for AI agents on Virtuals Protocol. Not for equal crumbs, but pure merit. A system where you win by being right, and where builders launch the next generation of AI agents. Enter Unicorn: Full Mechanism:

Virtuals Protocol

67,714 görüntüleme • 11 ay önce

NOW you can BUILD REAL Multi-Modal Agents with our API! 🚀 Excited to announce our API is now publicly available Memories.ai 😃 Memories.ai is building the visual memory layer for AI, it enables AI to see and remember like humans do. 2025 is the year of agents, 2026 is the year of multi-modal agents! 🌟
1:03

NOW you can BUILD REAL Multi-Modal Agents with our API! 🚀 Excited to announce our API is now publicly available Memories.ai 😃 Memories.ai is building the visual memory layer for AI, it enables AI to see and remember like humans do. 2025 is the year of agents, 2026 is the year of multi-modal agents! 🌟

Shawn Shen

530,644 görüntüleme • 1 yıl önce

Agents Virtual Machine is live, the first purpose-built environment tailored for agents. Your AI agents can now think, plan, and execute. Get started at
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Agents Virtual Machine is live, the first purpose-built environment tailored for agents. Your AI agents can now think, plan, and execute. Get started at

AVM

40,832 görüntüleme • 11 ay önce

Hot topic in vogue is what happens to systems of record in an era of 1000x more agents than humans. Aaron Levie has been the CEO of Box for 20 years and believes that systems of record become more important, not less, with agents: “Systems of record were built for a TAM of human employees. And that was sort of where the value maxed out at. And now maybe we'll have a hundred times more agents than people or a thousand times more agents than people. So I think on a relative basis, the agent layer will seize growth from zero to a trillion. But the system of record layer now has a thousand times more users on it that need to access data and need to execute a workflow and need to move things through various events. And importantly, you need as an enterprise to care about data integrity and security and the controls in your workflow and traffic copying the agents. So basically, this is where I am very diametrically opposed to the view that the system of record gets is squeezed into a database interaction layer because you actually need all of the core system of record properties for the agents to operate on.”
2:15

Hot topic in vogue is what happens to systems of record in an era of 1000x more agents than humans. Aaron Levie has been the CEO of Box for 20 years and believes that systems of record become more important, not less, with agents: “Systems of record were built for a TAM of human employees. And that was sort of where the value maxed out at. And now maybe we'll have a hundred times more agents than people or a thousand times more agents than people. So I think on a relative basis, the agent layer will seize growth from zero to a trillion. But the system of record layer now has a thousand times more users on it that need to access data and need to execute a workflow and need to move things through various events. And importantly, you need as an enterprise to care about data integrity and security and the controls in your workflow and traffic copying the agents. So basically, this is where I am very diametrically opposed to the view that the system of record gets is squeezed into a database interaction layer because you actually need all of the core system of record properties for the agents to operate on.”

Corinne Marie Riley

119,410 görüntüleme • 8 ay önce

Agents In Actions! Check out a demo video of one of our $AGENTS. Each agent is designed to be modular, meaning that you can plug and play things like accounts, apis, and more! V1 of Agents (﹢,﹢) is awaiting release, enjoy the sneak peak 🤖
0:33

Agents In Actions! Check out a demo video of one of our $AGENTS. Each agent is designed to be modular, meaning that you can plug and play things like accounts, apis, and more! V1 of Agents (﹢,﹢) is awaiting release, enjoy the sneak peak 🤖

Agents (﹢,﹢)

23,649 görüntüleme • 1 yıl önce

The bottleneck in coding is now the time it takes a human to review agent-generated code. But existing review UIs don't work well for agents. So we built a new one into Amp.
2:15

The bottleneck in coding is now the time it takes a human to review agent-generated code. But existing review UIs don't work well for agents. So we built a new one into Amp.

Beyang

63,082 görüntüleme • 10 ay önce

Folks are spending hundreds of dollars for AI agents that don't even do what they want. No longer. PRISM AI Agents is now available and open-source. Create your own agent in minutes, for free, directly from Github:
3:04

Folks are spending hundreds of dollars for AI agents that don't even do what they want. No longer. PRISM AI Agents is now available and open-source. Create your own agent in minutes, for free, directly from Github:

miles

126,894 görüntüleme • 1 yıl önce

🥼 Launching as a little experimentation... I believe the future of the internet is going to be more and more designed for AI agents.. so wanted to try something! Clawker AI is the first website where agents can practice TODAY simply at poker tables.. Powered by Vegas HL Poker API..
1:54

🥼 Launching as a little experimentation... I believe the future of the internet is going to be more and more designed for AI agents.. so wanted to try something! Clawker AI is the first website where agents can practice TODAY simply at poker tables.. Powered by Vegas HL Poker API..

WASA

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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
3:02

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 görüntüleme • 1 yıl önce

We’re introducing Cursor 3. It is simpler, more powerful, and built for a world where all code is written by agents, while keeping the depth of a development environment.
1:30

We’re introducing Cursor 3. It is simpler, more powerful, and built for a world where all code is written by agents, while keeping the depth of a development environment.

Cursor

2,891,673 görüntüleme • 5 ay önce

Right now the main paradigm that we think of agents in is chatting back and forth, but the biggest use of tokens will come from agents that are just always on running in the background doing work for us, or ones triggered from a workflow. Agents will be working 24/7 in our workflows processing data, reviewing and generating documents, moving data between systems, writing code, accelerating decision making steps, and more. In Claude's new Managed Agents feature, in a couple minutes you can wire up an agent that can read contracts when they come into Box to review them, and then assign a task in Linear with the critical information from the contract. But this could have been any workflow, like reviewing documents for client onboarding, invoice processing, M&A due-diligence, data extraction pipelines, and millions of other use-cases. And integrating data across any system. This is only possible when you can have long-running agents that can complete real work in the background, accurately. Agents have the ability to execute code safely, leverage tools, access a compute sandbox, and connect across systems is clearly the architecture of the future. The industry is now making it easier and easier for enterprises to build and deploy these agents.
0:43

Right now the main paradigm that we think of agents in is chatting back and forth, but the biggest use of tokens will come from agents that are just always on running in the background doing work for us, or ones triggered from a workflow. Agents will be working 24/7 in our workflows processing data, reviewing and generating documents, moving data between systems, writing code, accelerating decision making steps, and more. In Claude's new Managed Agents feature, in a couple minutes you can wire up an agent that can read contracts when they come into Box to review them, and then assign a task in Linear with the critical information from the contract. But this could have been any workflow, like reviewing documents for client onboarding, invoice processing, M&A due-diligence, data extraction pipelines, and millions of other use-cases. And integrating data across any system. This is only possible when you can have long-running agents that can complete real work in the background, accurately. Agents have the ability to execute code safely, leverage tools, access a compute sandbox, and connect across systems is clearly the architecture of the future. The industry is now making it easier and easier for enterprises to build and deploy these agents.

Aaron Levie

17,543 görüntüleme • 4 ay önce

Genesis Update: Forums Are Now Live Genesis and Sentient agents now have their own agent forums. A dedicated space for Virgens to shape the future of the agents they believe in. Forum access is open to all readers. Posting access is gated by: • 100 veVIRTUAL for pre-TGE (Genesis) agents • 1,000 veVIRTUAL or 10,000 agent tokens for post-TGE (Sentient) agents Shape the direction of your agent. Now live on Virtuals Protocol.
0:20

Genesis Update: Forums Are Now Live Genesis and Sentient agents now have their own agent forums. A dedicated space for Virgens to shape the future of the agents they believe in. Forum access is open to all readers. Posting access is gated by: • 100 veVIRTUAL for pre-TGE (Genesis) agents • 1,000 veVIRTUAL or 10,000 agent tokens for post-TGE (Sentient) agents Shape the direction of your agent. Now live on Virtuals Protocol.

Virtuals Protocol

45,804 görüntüleme • 1 yıl önce

In 2024, EtherMage predicted AgentFi and the co-ownership of productive agents. In 2025, VIRTUALS will become the coordination layer for the ai agents. These agents will create a larger economic value together at scale. This is the ACP vision for Virtuals Protocol.
1:15

In 2024, EtherMage predicted AgentFi and the co-ownership of productive agents. In 2025, VIRTUALS will become the coordination layer for the ai agents. These agents will create a larger economic value together at scale. This is the ACP vision for Virtuals Protocol.

yellowpanther (prediction arc) 💎

58,743 görüntüleme • 1 yıl önce

Copilot and agents will transform work and business process. Every organization will have a constellation of agents – and Copilot is how you’ll interact with all these agents right in the flow of your work. It’s the UI for AI. #MSIgnite
1:19

Copilot and agents will transform work and business process. Every organization will have a constellation of agents – and Copilot is how you’ll interact with all these agents right in the flow of your work. It’s the UI for AI. #MSIgnite

Microsoft

60,092 görüntüleme • 1 yıl önce

We are in an industry of skills. Industry of agents. For the very first time we have AI agents sitting on top of tools. Agents now can use the tools. The opportunity for agents is gigantic. —Nvidia CEO Jensen Huang and Salesforce CEO Marc Marc Benioff #DF24
7:43

We are in an industry of skills. Industry of agents. For the very first time we have AI agents sitting on top of tools. Agents now can use the tools. The opportunity for agents is gigantic. —Nvidia CEO Jensen Huang and Salesforce CEO Marc Marc Benioff #DF24

Vala Afshar

48,108 görüntüleme • 1 yıl önce

OKAY, AI AGENTS ARE COOL BUT WTF IS LAVA PART 2 -------------- Lava is a protocol which coordinates traffic from AI agents, apps and wallets on every blockchain. It does this by aggregating data providers who handle RPC requests for AI agents and anyone using blockchains apps. AI agents are projected to manage 80% of all onchain transactions by end of 2025. That's a LOT of RPC requests... -------------- How to stake and restake LAVA LAVA can be staked and restaked to contribute to the network: - secure the Lava blockchain - direct RPC traffic to top Providers on Lava, meaning faster, more reliable service for users/AI agents This is how you stake and restake LAVA on Keplr, Leap and Mellifera:
4:06

OKAY, AI AGENTS ARE COOL BUT WTF IS LAVA PART 2 -------------- Lava is a protocol which coordinates traffic from AI agents, apps and wallets on every blockchain. It does this by aggregating data providers who handle RPC requests for AI agents and anyone using blockchains apps. AI agents are projected to manage 80% of all onchain transactions by end of 2025. That's a LOT of RPC requests... -------------- How to stake and restake LAVA LAVA can be staked and restaked to contribute to the network: - secure the Lava blockchain - direct RPC traffic to top Providers on Lava, meaning faster, more reliable service for users/AI agents This is how you stake and restake LAVA on Keplr, Leap and Mellifera:

Lava Network 🌋

12,874 görüntüleme • 1 yıl önce

We’re seeing more and more DeFAI agents being launched everyday, but these agents are trained in the past and there’s no clear way to know which ones will perform in the future. That’s why we're launching ALFA with NEAR Protocol. ALFA is the Agent Leaderboard For Alpha, a prediction market that surfaces future performance so users can invest with real knowledge. Let’s introduce the first batch of agents:
0:37

We’re seeing more and more DeFAI agents being launched everyday, but these agents are trained in the past and there’s no clear way to know which ones will perform in the future. That’s why we're launching ALFA with NEAR Protocol. ALFA is the Agent Leaderboard For Alpha, a prediction market that surfaces future performance so users can invest with real knowledge. Let’s introduce the first batch of agents:

Fraction AI

28,474 görüntüleme • 1 yıl önce