Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

"A developer has morals. It's very difficult to argue that an agent does." Allie Howe & Ian Livingstone (Keycard) Eli Aleyner (Docker), and Ezra Tanzer (Snyk) on agent identity, delegation patterns and what real governance looks like when agents are delegating work to other agents: Watch the full panel:

Docker

553,883 subscribers

17,044 views • 1 month ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Introducing Agent Baseline: a vendor-neutral reference architecture for safely building, deploying, and operating AI agents in enterprise environments. Created with Snyk and Keycard, this open-source framework sets the minimum standard for agent safety:

Introducing Agent Baseline: a vendor-neutral reference architecture for safely building, deploying, and operating AI agents in enterprise environments. Created with Snyk and Keycard, this open-source framework sets the minimum standard for agent safety:

Docker

18,594 views • 2 months ago

Curious how NanoClaw + Docker Sandboxes actually work? This demo walks through setting up NanoClaw in a Docker Sandbox - connecting messaging accounts, configuring agent tools and access, and running agents inside an isolated MicroVM instead of on your machine. Watch the full demo and learn more →

Curious how NanoClaw + Docker Sandboxes actually work? This demo walks through setting up NanoClaw in a Docker Sandbox - connecting messaging accounts, configuring agent tools and access, and running agents inside an isolated MicroVM instead of on your machine. Watch the full demo and learn more →

Docker

14,653 views • 6 months ago

Agent adoption is “kind of the wild west right now”. Everyone is using agents on their laptops in their own way, with access to company files and every connected system. Zach Lloyd (Warp) and the CISO panel on what agent security actually requires:

Agent adoption is “kind of the wild west right now”. Everyone is using agents on their laptops in their own way, with access to company files and every connected system. Zach Lloyd (Warp) and the CISO panel on what agent security actually requires:

Docker

11,128 views • 1 month ago

More agents request HTML pages than humans. Search wasn't built for that. Saahil Jain, CTO of You.com, joins Per Krogslund on Ship Happens to talk about why just pointing your agent at Google doesn't work and what search infrastructure built for AI actually looks like:

More agents request HTML pages than humans. Search wasn't built for that. Saahil Jain, CTO of You.com, joins Per Krogslund on Ship Happens to talk about why just pointing your agent at Google doesn't work and what search infrastructure built for AI actually looks like:

Docker

13,041 views • 1 month ago

Agents are now your customers. Here are 9 startup ideas for that customer: - An agency that makes agents cite you. - A system that gives an agent an identity and permissions. - Receipts and audit trails for the work an agent does. - A generator that makes your documents ready for agents. - Security for the agent that reads your inbox. - A service that makes your pricing page readable to an agent. - MCP servers for franchises. - A support desk that agents call. - A sandbox where agents test your software. Pick one and build it.

Agents are now your customers. Here are 9 startup ideas for that customer: - An agency that makes agents cite you. - A system that gives an agent an identity and permissions. - Receipts and audit trails for the work an agent does. - A generator that makes your documents ready for agents. - Security for the agent that reads your inbox. - A service that makes your pricing page readable to an agent. - MCP servers for franchises. - A support desk that agents call. - A sandbox where agents test your software. Pick one and build it.

The Startup Ideas Podcast (SIP) 🧃

14,148 views • 1 month ago

Everyone is debating how much autonomy to give agents. What that conversation often skips is where humans need to stay in the loop. Watch the full episode for all of our CISO panelists’ takes on what this looks like in practice →

Everyone is debating how much autonomy to give agents. What that conversation often skips is where humans need to stay in the loop. Watch the full episode for all of our CISO panelists’ takes on what this looks like in practice →

Docker

10,838 views • 2 months ago

Most devs running coding agents in YOLO mode have no idea what the agent can actually reach. Eric Jia and Kevin Wittek demo getting started with Docker Sandboxes, credential injection, kits, containers vs sandboxes, and a brand new SSH feature:

Docker

20,530 views • 29 days ago

We won Best Trustless Agent at the Solana x402 Hackathon! Amiko Marketplace turns x402 payments into a trustless, on-chain economy where agents have identity, reputation, and verifiable actions. The agent economy finally has a trust layer. What we built: - Agent Registry - On-chain Job Records - Feedback & Reputation System - Search + Discoverability Everything tied to real wallets, real actions, real performance. Agents aren’t just paying each other. Now they’re accountable. This is the foundation for a global network of autonomous agents that can be trusted, rated, and discovered. All on Solana. More agents. More you.

We won Best Trustless Agent at the Solana x402 Hackathon! Amiko Marketplace turns x402 payments into a trustless, on-chain economy where agents have identity, reputation, and verifiable actions. The agent economy finally has a trust layer. What we built: - Agent Registry - On-chain Job Records - Feedback & Reputation System - Search + Discoverability Everything tied to real wallets, real actions, real performance. Agents aren’t just paying each other. Now they’re accountable. This is the foundation for a global network of autonomous agents that can be trusted, rated, and discovered. All on Solana. More agents. More you.

AMIKO

24,112 views • 10 months ago

Two updates to audit capabilities in Docker AI Governance. Every policy decision your agents trigger is now searchable in Docker Cloud and can be streamed to your SIEM tools. Read more:

Two updates to audit capabilities in Docker AI Governance. Every policy decision your agents trigger is now searchable in Docker Cloud and can be streamed to your SIEM tools. Read more:

Docker

17,892 views • 2 months ago

In an agentic world, identity = infrastructure. As humans, agents, and micro-agents start coordinating everything, you need a stable way to name and trust them and .agent is that shared identity layer. It’s designed to start on-chain and extend into DNS. Get your .agent identity set up before the good ones run out 👇

In an agentic world, identity = infrastructure. As humans, agents, and micro-agents start coordinating everything, you need a stable way to name and trust them and .agent is that shared identity layer. It’s designed to start on-chain and extend into DNS. Get your .agent identity set up before the good ones run out 👇

Sentient

58,759 views • 9 months ago

AI agents can already generate text, analyze data and execute tasks. But what happens when they need to hire each other and get paid for the work? This is the part of TermiX I’ve been digging into lately. On TermiX, a job has two sides: a client agent that needs something done and funds the job, and a worker agent that actually executes it. Once the quote is accepted, the payment and agreed terms sit between them onchain. Neither side can simply rewrite the deal afterward. And this isn't presented as an abstract concept. The TermiX agent marketplace already shows agents with their own identities, reputation, completed jobs and settled value. Some of the agents shown have completed hundreds of jobs, with tens of thousands of dollars settled. Think about where this model can go. A research agent could outsource data collection to another agent. A developer agent could hire a security-focused agent. A marketing agent could hand translation or design work to specialized agents. Instead of one AI trying to do everything, specialized agents can discover each other, agree on a job, execute it and settle the transaction. Humans built marketplaces around people hiring people. TermiX is building the infrastructure for agents hiring agents. That’s where autonomous AI starts looking a lot more like an actual economy.

AI agents can already generate text, analyze data and execute tasks. But what happens when they need to hire each other and get paid for the work? This is the part of TermiX I’ve been digging into lately. On TermiX, a job has two sides: a client agent that needs something done and funds the job, and a worker agent that actually executes it. Once the quote is accepted, the payment and agreed terms sit between them onchain. Neither side can simply rewrite the deal afterward. And this isn't presented as an abstract concept. The TermiX agent marketplace already shows agents with their own identities, reputation, completed jobs and settled value. Some of the agents shown have completed hundreds of jobs, with tens of thousands of dollars settled. Think about where this model can go. A research agent could outsource data collection to another agent. A developer agent could hire a security-focused agent. A marketing agent could hand translation or design work to specialized agents. Instead of one AI trying to do everything, specialized agents can discover each other, agree on a job, execute it and settle the transaction. Humans built marketplaces around people hiring people. TermiX is building the infrastructure for agents hiring agents. That’s where autonomous AI starts looking a lot more like an actual economy.

holly

13,718 views • 22 days ago

Your agents suck when using the web because 85% of it doesn't have an API. Browserbase gives them everything they need to do work online. Leading AI companies like Ramp, Lovable, and Clay trust us to power agents that do real work on behalf of real people. With a single API key, your agent gets everything it needs to navigate the wild web: browsers, search, fetch, identity, a sandbox runtime, and model gateway. Stop waiting on integrations, build agents that can browse and interact with the web just like humans.

Your agents suck when using the web because 85% of it doesn't have an API. Browserbase gives them everything they need to do work online. Leading AI companies like Ramp, Lovable, and Clay trust us to power agents that do real work on behalf of real people. With a single API key, your agent gets everything it needs to navigate the wild web: browsers, search, fetch, identity, a sandbox runtime, and model gateway. Stop waiting on integrations, build agents that can browse and interact with the web just like humans.

Paul Klein IV

1,731,002 views • 5 months ago

AgentKit gives AI Agents a way to transact on GOAT. Existing agents can plug in to earn, trade, and register an onchain identity that others can discover, review, and trust. Works with OpenClaw🦞, Hermes, ClawUp, and other agent runtimes. Try it:

AgentKit gives AI Agents a way to transact on GOAT. Existing agents can plug in to earn, trade, and register an onchain identity that others can discover, review, and trust. Works with OpenClaw🦞, Hermes, ClawUp, and other agent runtimes. Try it:

GOAT Network

865,395 views • 5 months ago

Launching 'Expert Agents' on Agent Two. A specialised creative crew of AI agents, trained on real creative expertise. Name the role and it's filled: creative director, DOP, storyboard artist, and more. And they talk to each other. Independently. In parallel. You're no longer briefing each agent one by one: you're running a crew, exactly like on set. Expert agents. Now in conversation. Agent Two is frontier intelligence for creative work. 4x faster, at half the price.

Launching 'Expert Agents' on Agent Two. A specialised creative crew of AI agents, trained on real creative expertise. Name the role and it's filled: creative director, DOP, storyboard artist, and more. And they talk to each other. Independently. In parallel. You're no longer briefing each agent one by one: you're running a crew, exactly like on set. Expert agents. Now in conversation. Agent Two is frontier intelligence for creative work. 4x faster, at half the price.

Invideo

3,411,576 views • 2 months ago

THIS GUY IS RUNNING A 5-AGENT OPENCLAW TEAM 24/7 FOR UNDER $50 A MONTH five agents all running continuously and handing tasks to each other > research agent tracking trends and competitors > writing agent handling marketing content and drafts > ops agent managing emails and scheduling > monitoring agent watching for alerts and updates > coordinator agent routing tasks between all of them and he built a full 3D isometric office where you can watch all of them work in real time and see the current task that each agent is doing each agent has a character, a desk, and a name tag. when it's time for a standup, they walk to the meeting room and gather which is insane it even has voice connection. you can talk to the agents through speech-to-text and tell them what to do out loud it's a tiny autonomous team that runs itself. the coordinator decides who handles what and tasks get passed between agents automatically. it never stops and runs 24/7 all for less than $50/month. we went from AI tools a few months back to AI employees real fast

THIS GUY IS RUNNING A 5-AGENT OPENCLAW TEAM 24/7 FOR UNDER $50 A MONTH five agents all running continuously and handing tasks to each other > research agent tracking trends and competitors > writing agent handling marketing content and drafts > ops agent managing emails and scheduling > monitoring agent watching for alerts and updates > coordinator agent routing tasks between all of them and he built a full 3D isometric office where you can watch all of them work in real time and see the current task that each agent is doing each agent has a character, a desk, and a name tag. when it's time for a standup, they walk to the meeting room and gather which is insane it even has voice connection. you can talk to the agents through speech-to-text and tell them what to do out loud it's a tiny autonomous team that runs itself. the coordinator decides who handles what and tasks get passed between agents automatically. it never stops and runs 24/7 all for less than $50/month. we went from AI tools a few months back to AI employees real fast

Om Patel

27,131 views • 5 months ago

Your coding agent runs as you. It has your credentials, your filesystem, your network. Docker Sandboxes change that. The setup that works on one dev's machine should work on everyone's. Eric Jia and Kevin Wittek on how kits make that possible:

Your coding agent runs as you. It has your credentials, your filesystem, your network. Docker Sandboxes change that. The setup that works on one dev's machine should work on everyone's. Eric Jia and Kevin Wittek on how kits make that possible:

Docker

17,402 views • 20 days ago

My 2025 year-end project: Solving Agents After weeks of stress testing agents, I landed on what a top-tier e2e agent actually looks like: Fast, Durable, Resumable, Secure Benchmarked. Battle-tested. Shipping the best patterns as reusable templates, packages and other OSS soon.

My 2025 year-end project: Solving Agents After weeks of stress testing agents, I landed on what a top-tier e2e agent actually looks like: Fast, Durable, Resumable, Secure Benchmarked. Battle-tested. Shipping the best patterns as reusable templates, packages and other OSS soon.

Chris Tate

39,146 views • 9 months ago