OpenClaude v0.4 Update is INSANE!

Ajouté : 2026-05-05

[00:00:00]OpenClaude 0.4 update is insane. You've been locked into one AI model when you could be using any model you want.

[00:00:06]You've been working in a terminal when you could be working inside your code editor. You're missing out on something big and after this video, you won't be anymore. Hey, I'm the digital avatar of Julian Goldie and I help people actually learn and use AI tools to work faster and smarter. Today, we're talking about OpenClaude 0.4 and this update is genuinely insane. I'm going to break down exactly what dropped, what it means for you, how it compares to other tools out there, and some practical ways you can actually use it. Stay until the end because I've got tips that will save you a lot of setup headaches. Let's get into it. What even is open clawed? If you're new to this, here's the fast version.

[00:00:40]Back in March 2026, the source code behind Anthropic's Claude code tool became publicly accessible through an npm source map exposure. Developers took that code, built on top of it, and OpenClude was born. OpenClaude is an open-source coding agent CLI command line interface that opens up the Claude code architecture to work with over 200 different AI models. Not just Claude, any model that works with the OpenAI compatible API format. GPT40, Gemini, Deepseek, Mistral, Gro, local models through Olma, all of it. It has over 22,000 stars on GitHub. This is not a tiny side project. People are paying serious attention. What makes it different is simple. One workflow, any model. You get all the powerful coding agent tools, file editing, bash commands, GP, glob agents, tasks, MCP support, slash commands, powered by whatever model you choose. Now, V.4 just dropped on April 17th, 2026, and the updates are significant. Let me walk you through them. What's new in OpenClaude V 0.4? Three headline features, plus a round of fixes that make the tool more stable. On number one, full VS Code chat interface. This is the big one. The OpenClaw VS Code extension now has a full chat interface built directly into it. Before this, the extension was basically a launcher. It helped you start OpenClude, but you were still working through the terminal. Now you get a proper chat UI inside your editor.

[00:02:00]You stay in VS Code, you work with your AI, no bouncing between windows. Number two, RIP Grip for faster file searching.

[00:02:07]RIP GP is a fast file search tool well established in the developer community for being significantly quicker than traditional GP when searching through code. Version 0.4 four adds rip grep to the docker file which means file searching inside openclord is now faster on large code bases that difference is noticeable number three new providers Alibaba and Nvidia two new provider integrations in this release Alibaba's Dash scope which powers their Quen model family is now supported and Nvidia NM Nvidia's inference microservices platform is now supported too along with miniax more choices means you can match the right model to the right task the creator of openclaw gitlob also confirmed it's already running on xi's gro model out of the box bug fixes worth knowing v.4 4 ships several stability fixes, better API failure classification for OpenAI compatible providers, so error messages are clearer, a crash fix for the models command when saved model values aren't in the expected format, a crash fix in the commands tab when a description is undefined, and the startup screen now shows the correct endpoint URL for custom anthropic endpoints. Not flashy, but this is what makes a tool reliable instead of frustrating. the old way versus now.

[00:03:20]Before tools like OpenClaude, if you wanted a proper AI coding agent, you were choosing between official subscriptions and staying inside whatever model family those tools supported. Switching wasn't easy. You were locked in. With OpenClude, that changes to you point it at whatever model you want. You can run local models through Olma on your own machine. You can switch providers in seconds. And now with V.4, all of that works through a full chat interface inside VS Code. When I first started exploring open source AI tools like this, it was overwhelming. So many providers, so many models, so many configurations. I didn't know which ones were worth learning versus which ones were just noise. That's when I created a community called AI Profit Boardroom.

[00:03:57]Over 2,000 members, all focused on learning AI together and sharing what actually works. The community shares real use cases and practical implementations, which workflows actually save time versus which ones waste it. If you're serious about using AI to improve your work and skills, check it out. Link in description. How it compares to other tools. Let's be direct. Claude code from Anthropic. The official tool polished and well supported uses clawed models. Open Claude is built on the same architecture but opens it up to any provider. The trade-off is that open claude requires more setup and behavior can vary across different models. GitHub copilot deeply integrated into VS Code, strong autocomplete, large user base, mostly within the Microsoft and OpenAI ecosystem. OpenClude gives you more flexibility over which model you're running. Cursor, a popular AI native code editor with good features, but you're working inside one product built around it. OpenClaude plugs into your existing VS Code setup. Ada, another open- source coding agent with a similar philosophy. Open Claude is built on the Claude Code architecture which has strong built-in tool use and agent capabilities. The honest answer, Open Claude is the right fit if you want flexibility and don't want to be locked into one provider. It takes more setup than a subscription tool, but the control you get in return is significant.

[00:05:16]Ways you can use Open Claude. Here's how OpenClaude's verified capabilities translate into practical workflows.

[00:05:22]Because it can read, write, and edit files directly, not just chat. You can point it at a file and ask it to review for bugs, then have it apply fixes. You can ask it to generate tests for a specific function based on the actual code it reads. You can ask it to search across a large codebase for every reference to a specific function and make updates. And with the rip grip edition in V.4, that search step is faster than before. Open Claude also supports agent routting where you configure different models to handle different agent types in your workflow.

[00:05:52]So, one model handles planning, another handles code generation. This is built into the settings file and documented in the repo. The repo also has beginnerfriendly setup guides for nontechnical users, Windows and Mac and Linux. So you don't need to be an advanced developer to get started. Natsu tips to get the most out of V.4. Or a few things worth knowing before you start. Set up provider profiles. Open Claude has a provider command that walks you through setup and saves your configuration. Set up a saved profile once and load it. Don't configure manually every time. Install RIP Grep systemwide. The release notes specifically call this out. If you get a rip grep not found error, install it separately and confirm arg version works in your terminal before launching openclaude. Start with onboard github if you're using github models. It's the guided path and beginner friendly. For any other provider provider is your starting point. For local models via if you have installed you can skip the environment variable setup entirely.

[00:06:53]Open clude autod detects it. Pull a model like quen 2.5 coda.7b and it will route through your local instance automatically. Use agent routting. If you're running multiple models, you can configure different agents to use different models in chas claude settings.json. There's a working example in the readme.

[00:07:11]The bigger picture openlord started from a public source code exposure. In a short time, the community built a tool with over 22,000 GitHub stars, 200 plus model support, a VS Code chat interface, RIP GEP integration, and new provider support from Alibaba and Nvidia. And this is V.4. The project is moving fast.

[00:07:29]If you're building something, learning to code, or looking to work more efficiently with AI tools, OpenClaude is worth exploring, especially now with the VS Code interface making it much more accessible than it was even a few weeks ago. The GitHub repo link is in the description. If you're looking to dive deeper into AI tools and actually implement them in your work, I recommend AI Profit Boardroom. Over 2,000 people learning how to use AI effectively.

[00:07:53]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. It's helped me stay on top of updates and figure out how to actually apply them. Link in 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. That's it for today. If you found this useful, hit like, subscribe, and I'll see you in the next