Your AI Agent Should Be a Git Repo | Introducing Gitclaw

Most AI agents today are black boxes. You don’t know what they changed. You don’t know why they behaved a certain way. And you definitely can’t audit them. That’s a problem, especially for teams that need control, visibility, and compliance. In this video, we introduce GitClaw, an open-source AI agent framework where the agent itself is a Git repository. Every memory, every skill, every change becomes a commit. So instead of guessing what your AI is doing, you can inspect it, version it, and control it like code. We walk through: installing GitClaw from scratch how the agent is structured as a repo adding new skills generating real outputs and tracking everything through Git history Because AI shouldn’t just work. It should be inspectable, controllable, and reliable. ⏱️ Chapters 0:00 Why most AI agents are black boxes 0:06 Introducing GitClaw (agent = repo) 0:18 The problem with current agent frameworks 0:32 Installing GitClaw from scratch 0:47 Setting up API keys 1:23 Running your first agent 1:41 Voice + screen interaction 1:50 Understanding agent file structure 2:03 Git-based agent history and commits 2:19 Adding new skills to the agent 2:33 Installing the PowerPoint skill 2:44 Creating a slideshow with the agent 3:01 How the agent executes step-by-step 3:19 Generating outputs (slides + files) 3:50 Inspecting generated files 4:03 Agent memory and learning updates 4:09 What’s coming next 🔗 Important Links: Build with Architect: https://hubs.ly/Q043pWTs0 Build your own AI agent → https://hubs.ly/Q03wb5Md0 Explore our website → https://hubs.ly/Q03wbGVt0 Build agents for your company (Book a demo) → https://hubs.ly/Q03wbH0k0 Learn how to build agents with Lyzr Academy → https://hubs.ly/Q03wqxFR0