OpenAgents DESTROY Openclaw?

Key Takeaways

Open agents destroy open claw. Here's the truth. You're wasting time switching between AI tools that don't talk to each other. You've got one agent writing code, another one browsing the web, another doing research. None of them share what they know. None of them work together. And you're stuck in the middle copy-pasting like it's 2019. There's a better way. And today I'm going to show you exactly what it is. Hey, I'm the digital avatar of Julian Goldie. And on this channel, we break down AI tools so you can actually use them, skip the hype, and save serious time. Today we're talking about open agents workspace. New open-source platform that lets your AI agents share the same files, the same browser, and the same chat at the same time. And yes, we're going to compare it to open claw, which is the viral AI agent tool that basically took over GitHub this year. Here's what I want you to know before we dive in. These two tools are not actually fighting each other. By the end of this video, you'll understand exactly when to use each one. And you might end up using both. Let's get into it. So what even is open agents workspace? Think of it like Slack, but for AI agents. You get one persistent URL, something like workspace.openagents.org followed by a short code. Mark it, come back anytime. Agents are always there waiting. Every agent inside that workspace shares the same context and files, same browser, same chat threads. So if you've got Claude code writing some code, Codex reviewing it, and open claw handling your messages, they're all looking at the same information. No copy-pasting between terminals. No glue code. It's fully open-source under the Apache 2.0 license. No vendor lock-in, no mandatory accounts. Self-host it if you want to. Now let's talk about the three main components. First is the workspace itself. Browser-based layer where humans and agents share threads, files, and a live browser in real time. It works from your phone or your laptop. The second is the launcher, which they call Agently. Terminal dashboard for managing your coding agents. You store runtimes, configure API keys, connect to workspaces, and keep agents running as a background demon. So even if your laptop goes to sleep, your agents keep going. The third is the network SDK. Developers who want to build custom agent systems that plug into the open agents network. If you're not a developer, the workspace and launcher are where you'll spend your time. Let me walk you through the key features. Shared browser. Every agent can open web pages, click elements, take screenshots, and fill out forms in a browser that everyone in the workspace can see. Shared files. Agents upload code, documents, and reports directly to the workspace. Any agent or human can read, edit, or download them. Mentions. Use the @ symbol to direct tasks to specific agents. @Claude code, review this function. Or @Open Claw, send me a Telegram update when this is done. Agents pick up their assigned work and run with it. Tunnels. Preview what your agent built from any device by exposing your local dev server as a public URL with one command. Cross-platform. Launcher works on macOS, Linux, and Windows. Before we compare, let me quickly explain what open claw actually is, cuz the backstory is kind of wild. Open Claw started as a project called ClaudeBot, built by an Austrian developer named Peter Steinberger in November 2025. Got renamed twice due to trademark issues and officially became open claw in January 2026. Roughly 60 days, it went from zero to over 247,000 GitHub stars. A growth rate that shocked the entire open-source community. What makes it special is what it actually does. It connects large language models to your real computer. You type a message in WhatsApp or Telegram or Discord, and open claw executes tasks on your machine, reading files, running shell commands, browsing websites, sending emails, controlling APIs. Some setups come with over 100 pre-built skills out of the box. The creator announced in February 2026 that he was joining OpenAI and open claw would continue as an open-source community project. So how do the two compare? Here's the honest answer. They're solving different problems. Open Claw is a single agent system, an AI on your computer. Really powerful. Really autonomous. Working alone. Open agents is a multi-agent network, specifically for coordination. For situations where you want Claude code doing one thing, Codex doing another, and open claw doing a third, all sharing information and aware of what the others are doing. The open agents team put it this way. Open Claw lets AI do work for you. Open agents lets AIs work together to help you. Resources. Open Claw runs locally and memory usage can exceed 1 GB. Token consumption for multiple tasks adds up quickly. Open agents only generates token consumption when specific agents are actually being used, which keeps costs more predictable. Security. This is important. Open Claw has had documented vulnerabilities in its first months of public release. Tens of thousands of exposed instances were found on the public internet with default configurations and no authentication. The Chinese government restricted state agencies from using it in March 2026. Some major companies have restricted it on company devices, too. None of that makes open claw a bad tool. It means it's powerful. And that power requires proper configuration. Open agents avoid some of these risks by design. Agents don't get high system privileges and run in more isolated environments. So which one should you use? Use open claw if you're a solo developer or technical user who wants a highly autonomous agent running on your local machine. Handles complex workflows. It's built-in memory. Works through your existing messaging apps. Let's configure it securely. Use open agents workspace if you want multiple agents working together on the same project. Claude code for writing, Codex for review, open claw for communication and operations in shared environment, not three separate terminals. Here's the part most people miss. You can use both together. Open Claw is a supported agent inside open agents. Connect your open claw instance to a workspace, and your lobster becomes part of the team. When I first started exploring multi-agent setups like this, I was overwhelmed. So many tools, so many options. Hard to know which workflows actually save time versus which ones just add complexity. That's when I created a community called AI Profit Boardroom. 2,000 members all focused on learning AI together and sharing what actually works. Real use cases, real implementations, not just demos. If you're serious about using AI to improve your work and your skills, check it out. Link in the description. Let me give you some practical tips for getting started with open agents workspace. Fastest way to try it is the hosted workspace at openagents.org. No install, no SDK, no self-hosting required. Just sign up and start connecting agents. If you want local control, install the launcher via the command line. On macOS and Linux, it's a curl command. On Windows, there's a PowerShell installer. Walks you through setup and shows all your agents, their status, and workspace connections at a glance. Connecting an agent is one command. Agent create with a name and type, then agent up to start the demon. Your agent is live in the workspace. Use mentions strategically. Don't dump everything into general chat. Direct specific tasks to the right agents. That's what makes multi-agent actually efficient rather than just chaotic. Here's something worth knowing about where this is all heading. These multi-agent frameworks, CrewAI, LangGraph, AutoGen, are about pipelines and orchestration within their own ecosystem. Open agents is about open protocol design. LangGraph agent, a CrewAI agent, and a custom Python agent can all participate in the same open agents network through standard protocols. Rewriting, reporting. It matters because the agent landscape is fragmenting fast. Different tools are great at different things. Open agents is building the layer that lets all of them talk to each other. That's a different bet that most frameworks are making, and it could turn out to be exactly right. Bottom line, open claw is one of the most impressive single agent tools ever built. Growth, community, capability earned every one of those stars. Open agents workspace is solving the next problem. What happens when one agent isn't enough? When you need coordination, shared context, and agents that actually work as a team. Neither one destroys the other. They're building toward the same future from different angles. The smart move is to understand both and use the right one for the job. If you're looking to dive deeper into AI tools and actually implement them, I recommend AI Profit Boardroom. 2,000 people learning how to use AI effectively. Everyone shares real experiences. What's working, what's not, which tools are worth your time, which ones to skip. No hype, just solid information and practical guidance from people doing the work. Link in the description if you want to check it out. And if you want the full process, SOPs, and 100 plus AI use cases like this one, join the AI Success Lab. Links in the comments and description. You'll get all the video notes from there, plus access to our community of 58,000 members who are crushing it with AI. See you in the next one.