QwenPaw Is The New Personal Agent Threat

0:00In this video, I'm going to be talking about a GitHub repo that you need to be paying attention to because it got 16,000 stars in basically 1 week. So, this really caught my attention because it is a great implementation as an AI agent for your open claw setup. So, before anyone gets weird about this, I'm not saying Quinn Paw is better than open claw, but you do need to check it out. That's the name of the AI agent, and I'm not saying you need to switch. It's just worth checking out if it's going to work for your setup. So, like I said, 16,147 stars in 2,264 forks, hundreds of issues in release published this this morning, and it's worth looking at and just seeing like

0:45what the market is responding to because it's going completely viral on X right now. You know, the pattern is pretty obvious. People don't just want another chat app. You know, they want an assistant that can live where they live and remember things and run skills and connect to messaging apps and actually do work. That's the whole point of open claw, right? And this repo is agent scope AI/Quinn Paw. I have it linked down below. Save it, star it, check it out. Basically, the description is your personal AI assistant, easy to install, deploy on your machine or on the cloud, and it supports multiple chat apps with easily extensible capabilities. It was created a few months ago and by April 30th, it

1:31is sitting at over 16,000 stars. And that's pretty fast growth. You know, that means that it is not some dead weekend project. People are actually paying attention. So, the read me says it works for you and it grows with you. It can run locally or on the cloud. It has memory and personalization under your control. It supports skills, scheduling, PDF and office processing. It digests news feeds. It does custom skills, multi-agent collaboration, security controls, file access control, skill security scanning, and channels like DingTalk, Feishu, WeChat, Discord, Telegram, all of the favorite chat apps. So, let's translate that into normal

2:16builder language. What can you actually build with this thing? You know, this is another signal that the personal AI assistant category is actually growing and getting real. You know, it's not a chatbot. It's an assistant agent. It's a worker. Whatever water word you want to use it as. The core idea is just the same, right? It's one system that knows who you are. It connects to your tools, and it helps you move work forward without starting over every time. Think of it as like a Hermes agent or like an open claw agent, right? That is the pain point that most people are trying to solve with normal AI right now. Real quick, before we keep going, if you're watching this and you want to actually build with some of these tools, not just watch videos about them, then you're going to want to check out shipping school. We have a full Claude

3:03code course, a full open claw course, and four live bootcamps every single week where we actually help you get set up from scratch. Like actually set this thing up, not just watch a tutorial and figure it out by yourself. And we also provide one-on-one coaching, so you could book a call with me. We could share screens, and I can help you get Claude code or open claw running on your machine. That's it, no fluff. I built this community because watching YouTube's only gets you so far. We launched it just 3 days ago, and we have over 55 members. You need people around you who are actually building, people who hold you accountable, and coaches who can help you when you get stuck. I'll put the link in the description down below. Get in now before the price goes up. You open a new chat, you

3:48explain your life again, you paste the same context over and over, and you give it the same rules again. Then you ask it to do one task. And if the session resets, a bunch of useful content tends to disappear, especially if you're using open claw. You need to have memory set up correctly. You know, a real personal agent should not work like that at all. It needs to remember, which is why I like using Hermes as of late because it has the Honcho memory system. I made a video about how I set up my Hermes yesterday. You should check that out. But you get my point, right? We don't want to build agents that forget about us. So, this agent here is a real personalized agent, and it knows your preferences. And it knows where your files are. It knows what channels matter. And ideally, it should be able

4:33to run repeatable tasks. That's what this does. You know, you don't need to be babysitting your AI agent, right? You want it to just work. And you should have enough security controls that you are not just handing a random model the keys to your machine. That is why Quinn Paw is interesting. You know, the repo is not just saying we built a chat interface. It is saying deploy locally if you want your data on your machine. Deploy in the cloud if you want your own server. Add skills, use scheduling, and create multiple agents with roles. So, it lets agents collaborate, and it uses tool guard, control file access, and it scans skills for safety. You can connect to the channels you already use. It's plug and play. And that sounds familiar

5:18because this is the exact direction open claw has been pushing. So, one main agent, skills for repeatable work, channels as departments, memory for continuity, and tools for action. Human approvals where they matter most. And I think the reason this category is exploding is because people finally hit the wall with raw chatbots. At first, ChatGPT was magic because it did answer questions, and people were blown away. We are way past that right now. The coding assistants were magic because they wrote code, and we were blown away this time last year. Then Claude code and Codex were magic because they could work inside of a repo. But now, the next pain point is very obvious. People don't want 10 separate assistants. They want one system that knows their business.

6:03For me, you know, that is Atlas, my main open claw agent. Atlas knows my content pipeline, the database, the revenue goals, the YouTube strategy, the entire school funnel, the cron agents, the voice rules, basically all of it. I do not want a blank chat window. I want an operator. And if you're building any kind of business, you're probably wanting the same thing. Maybe not for YouTube, maybe for real estate or for finance, for bookkeeping, maybe for customer support, whatever. But the shape is the same. The workflow is the same. You need an agent that understands your world. The Quinn Paw launch also shows something else that matters. The global market for personal agents is not just Open AI, Anthropic, and a few Silicon Valley tools. You have Quinn

6:48adjacent projects called Agent Scope, which is Chinese messaging platforms like WeChat support, Feishu and DingTalk support, cloud and local deployment. This is not a small niche group anymore. Like you're seeing these come out over and over again. Like I said, 16,000 stars in a few months. That's getting traction. And that matters because competition makes the whole category better. You know, I don't think people should be just using open claw for one thing and just being biased and saying, "I'm open claw only." I think using Hermes, open claw, a bit of everything to help build out your workflows is the best of all worlds, right? Because sometimes your open claw will break. Maybe it has. Well, you could use Hermes agent to fix it. You could use Claude code to fix your open claw. So, don't be married to one product because this

7:33space changes all the time. Open claw, for example, is shipping fast updates every single day, probably more than any other project. Quinn Paw is getting 16,000 stars, and it's pushing open claw to be better. Claude code is getting better pushes, and it makes Codex better. Codex getting better pushes Claude code. You see my point, right? The whole market is moving. Don't be married to one thing or the other. The April 30th Quinn Paw release is not huge in terms of flashy features, but it does tell you the project's alive. Version 1.15 in this post one added Feishu card handling. It upgraded tool guard approval to interactive buttons. Fixed WeCom streaming and reconnect issues. It improved code mirror line wrapping for tool call input and output blocks. It

8:20added a group chat session sharing toggle and rejected absolute static file paths to prevent path traversal. Again, I know that sounds technical and kind of boring, but look at the pattern. Messaging reliability, approval back-end design, group chat behavior, and security around file paths. Also improving of tool call reliability. So, those aren't just toy problems. Those are what actually happen when people are trying to start using an AI agent to read channels. So, if your an agent is only a demo, you are not going to care about WeCom getting stuck on thinking messages, right? But if people are using it every day inside of a workplace chat, that matters. You need it to be reliable. If your agent is only a toy,

9:05you do not care about interactive approval buttons. But the agent is about to take action. Approval UX matters a ton. If your agent is only a side project, you do not care about path traversal around static files. But if people are giving it access to real systems, security is the number one thing. That is why I like looking at the release notes. The boring fixes tell you what users are actually doing. So, with Quinn Paw, the boring fixes are pointing toward daily agent uses inside of real communication channels. So, what should you learn from this as a builder? How can you apply this agent? The number one thing that I would do, you know, and just looking at it from this point of view, is the assistant market is

9:50basically becoming local first and user controlled. That's why you saw about a month ago Jensen Huang talk about everyone needs an open claw strategy. You need to have an agents as a service strategy. What is the agent that you're building that you could sell? Agents are the commodity now, right? And people are tired of giving every tool their data as well. If you're struggling to keep up with content, well, I'm about to save you about 40 days worth of work. I built something called content machine. [music] It's 10 AI agents that run on the open claw orchestration, and they handle everything. Scripts, thumbnails, X [music] posts, blogs, outreach, clips, newsletters, all of it. So, I went from 1,000 subscribers to 4,000 subscribers on YouTube in 7 days using this exact

10:36system. Every single morning I wake up, [music] and the content's already done. I spend maybe 15, 20 minutes reviewing and approving them, and I move on with my day. It works for any niche, fitness, finance, real estate, marketing, whatever you are building, and it is 100% completely customizable to your [music] use case. So, you get the mission control dashboard, all of the cron jobs, everything I've built over the last 40 days helping me gain more and more people to subscribe and join the community. So, you plug in your own thing, and it molds it to you. It learns how you talk, and it writes so it doesn't sound like AI slop. $97 one time, it's not a subscription. [music] I'll put the link down below, and you'll thank me later. A repo that says you can

11:21deploy locally or on your own cloud server is speaking directly to that concern. You keep control. You choose the environment. You are not locked into one hosted app. The number second, the second thing, right, is skills. Skills are becoming the real moat here. The base model matters, but the skills are what actually makes your agent useful. Scheduling, PDF work, office work, news digest, or custom actions, channel connectors, for example, those are actually what turn your chat into a worker. The third thing is channels matter more than people think. I use Telegram, I think it's great, but Discord and WeChat and WeChat and DingTalk, those are just nice extras, right? They are where the work actually

12:07happens. They're good to have. But if an agent is not in the channel where the human already lives, it's easy to forget about. The fourth thing is safety is no longer optional. File access control, tool guard, skill scanning, and approval buttons, these things sound really boring until an agent touches the wrong file or runs the wrong tool call, then they become the whole product. The fifth thing is the category is still early enough for normal people to build useful stuff. Don't think you couldn't build something similar. This is the part that I actually care about the most. When I see a repo like this move very fast, I do not think, you know, it's too late. I think it's the opposite, right? The opposite mindset. I think we're at the moment where the demand is obvious, but the winners are not locked in yet. There are going to be personal agents for

12:53every niche if you think about it. Agents for resellers, agents for real estate agents, agents for Airbnb hosts, agents for school community owners, agents for recruiters, like I could go on, right? There's going to be agents around every single niche. And it's just depending on whether you want to play ball in this space, right? Get off the sidelines and start building something, especially if you already have a business running. You know, most of this will not be won by the person with the fanciest model app. They will be won by the person who understands the workflow and understands the end consumer or the end business you're trying to sell to. If you know the exact repetitive work someone hates doing, or you're doing it yourself, and you can build an agent around that work, you have something there. You're not the only one experiencing that problem. And that is

13:39why I keep pushing people away from vague AI ideas. A note-taking app, a step counter app. Start branching out a little bit. Do not build an AI assistant for everyone. Build a specific worker for the painful job that you or someone does every day. Kwenpa is interesting because it is going broad at the infrastructure level, but you, as a builder, can go narrow at the use case level. You can take the same idea. Memory plus skills plus channels, tools, and point them all at one painful business problem. That is where the opportunity is. So, my take on Kwenpa is very simple. This is just an example. It is not just another GitHub repo. It's a signal for you as a builder to build the same thing in the use case that you are familiar with. Personal agents are

14:24becoming the real category here. Local and cloud deployment matters a ton. Skills matter more than that. Channel support matters as well. Approval and security has always mattered, and people are clearly hungry for agents that do more than just answer simple questions. If you are building with Open Claw, this should scare you. If you're building with Open Claw, this should not scare you. It should motivate you. The market is validating that direction. More projects entering the space means more education, more adoption, more ideas, and more proof that this work and seeing it where it's going, right? Go study Kwenpa. Look at the readme. Look at the release notes. Not to copy it line

17:46by line, but just to understand what users are doing and how they're rewarding the project. They are rewarding control. They are rewarding memory. They are down below. Check it