Kimi K2.6 + OpenClaw - Two AI Agents Build a Full App Together

Added: 2026-05-05

[00:00:01]Kimi K2.6 is out and in this video we are going to wire it into open claw and do something quite unique. We are going to run two completely independent agents at the same time each handling a different part of the same long horizon coding project.

[00:00:20]Now if you're new to this channel, open claw is one of the most popular harness which we have been covering a lot and Kimi K2.6 is a model from Moonshot AI which we already covered on the channel in great detail.

[00:00:35]Kimi K2.6 is a mixture of expert 32 billion active parameter model with 256k context window and some of the most impressive agentic benchmark. So that is why it makes sense to get it tested with this open claw.

[00:00:53]Now in this video I will be using the hosted the API based Kimi K2.6 but the good thing is that it is also available with its weight so you can also install it locally and we will do that video soon too. This is Fahad Mirza and I welcome you to the channel. Please also follow me on X if you're looking for AI updates. Now let's get right into installing this open claw first and then we will integrate it with the Kimi's new model single one liner to get this thing installed.

[00:01:29]Open claw is installed and now let's do the configuration. I'm just going to go with the um default vanilla installation here and with a quick start.

[00:01:43]And we will just select our model so it is the hosted one. You can as I said you can go with the local one if you have that set up so I'm just going to select a Moonshot.

[00:01:55]It is still showing K2.5 because we are very early but don't worry about it.

[00:02:00]We'll just select the correct model.

[00:02:01]Let's go with Kimi's API key because we are outside of China. Let me enter my API key and you can also grab it from platform.moonshot.ai.

[00:02:11]By the way this video is not sponsored at all by Moonshot or anyone else.

[00:02:18]So I have entered my key. Go use it.

[00:02:20]Have fun. Spend million dollars. I don't care.

[00:02:23]And then it has by default selected this Kimi K2.5 model so we will we don't want it.

[00:02:30]We want the new model so just select enter model manually and then just change this five to six. So now we have Kimi K2.6 and press enter.

[00:02:44]And then you are going to get this that model not found but don't worry about it. Um we will also update this agents.default. It is just a CLI command which we need to run and once you use the API key it should be able to access that endpoint and the model will be available.

[00:03:01]And for rest of the values I'm just going to skip everything and just go with a default so I'll quickly go through it.

[00:03:09]And let's just go with a default as I said.

[00:03:13]And I'm just going to skip the hooks and everything for now.

[00:03:17]And it is going to now install that gateway which is a core and then reboot it and we will be all set.

[00:03:25]And now we need to install that model so or configure that model Kimi K2.6. For that all you need to do is just run this command and then restart your gateway.

[00:03:37]Model is set. Gateway restarted. We are all good to go.

[00:03:43]And you can also verify by running this open claw models list and it is going to show you the default and configured model.

[00:03:53]And there you go. Everything is set. Our Kimi K2.6 is a default and configured one.

[00:04:00]Now for for our two agent demo I have two terminal windows.

[00:04:05]In the first one I'm going to open the architect session. In the second one we will go with the implementer session.

[00:04:13]Now what we are doing going to do here this uh we are creating a personal fitness tracker dashboard.

[00:04:20]The architect writes a detailed technical spec like component breakdown, data models, workout types, progress charts, streak tracking, calorie goals, color schemes, layout and few other things.

[00:04:34]Whereas the second one the implementer agent is going to read that spec and build the complete React plus Vite app for our fitness tracker. So you can see that both of our sessions are now ready and connected.

[00:04:51]I have pasted the prompts in both windows and it is not that good um visibility here so I'm just going to quickly show you the VS code where I have pasted the prompt for both the architect and the implementer and you can see that we are running two completely independent Kimi K2.6 agents at the same time. The architect is designing and building the data layer while the implementer is watching for the spec and will start building the UI the moment it lands.

[00:05:19]This is multi-agent AI development in practice so let me just minimize this and let's press enter here in the first one and then second one.

[00:05:31]And it is connected. Let's also do the second one.

[00:05:34]And it is also connected. Now let's wait for it to kick off.

[00:05:40]Both of these agents are working and the funny thing is that because I asked it to do not stop, do not ask questions and just build something. If I just show you this you know on my desk this is what it is building right now as we speak.

[00:05:57]It has already scaffolded it, created the appropriate directories and everything.

[00:06:03]How good is that? I'm just going to refresh it.

[00:06:06]There you go.

[00:06:08]Very very nice seriously.

[00:06:13]And this is one of the I would say slogan of this new model that it can code for days this Kimi K2.6 without any interruption.

[00:06:26]The first agent is done as you can see that it has placed those files and these are the tasks. Spec.md is here. And now let's wait for the second agent to do its magic.

[00:06:40]And there you go. The second agent has also done its part. Now let's open another terminal and try to run it. Let me quickly show you the VS code window too.

[00:06:51]Now let's go to a new terminal. The code looks complete.

[00:06:56]And now from the root of that directory let's start the server and see what they have built.

[00:07:02]There you go. The server has started very nicely. Let me open it in the browser.

[00:07:08]I'm just going to open a new tab and then localhost 5173 and there you go.

[00:07:15]In front of you two agents, one model, zero human code written. The architect designed this whole spec and built the entire data layer while the implementer read that spec and built every UI component as you can see here.

[00:07:29]And this is a fit track as you can see they have built with a working dashboard and it is responsive calendar, progress charts, goals, activity feed. Everything is there. Was produced entirely running through you know open claw in single shot. I haven't really improved anything.

[00:07:49]So look this is what you know this can do. Sorry I also needed to show you this so this is a dashboard. This is a calendar. How good is that? I'm just selecting it. Pretty nice.

[00:08:00]Let's select this so this is less than more.

[00:08:03]These are the streaks.

[00:08:07]Pretty good. This is a progress so wow.

[00:08:11]And then this is a goal.

[00:08:14]Very nice. All responsive.

[00:08:16]And this is activity.

[00:08:18]Some of the activities by date so whole tracker is there.

[00:08:22]Not sure if this works or not. Maybe I'll just quickly try it.

[00:08:26]I'll just uh say maybe swim.

[00:08:30]And then let's change the date. Just checking few things.

[00:08:34]29th uh maybe 25 24 23 minutes.

[00:08:40]And well it's great but eating pizza on couch is better.

[00:08:49][clears throat] And then let's say workout.

[00:08:53]So that's done. Let's check out if um it appeared there.

[00:08:59]And you can see that the numbers and some of the stuff on the dashboard has changed like workout start from six to four, calories from 2205 to 1408 and duration also changed. Anyway.

[00:09:12]So see um I think the state management is working.

[00:09:15]The model has done wonderfully well and that is what a one trillion parameter model looks like when you give it tools and agent loop and a real task.

[00:09:25]Not benchmark, a working application built by two AI agents collaborating on um this machine. Let me know what do you think. We will continue our coverage of this amazing amazing Kimi K2.6 model. I will also do a video with a local install shortly as my as I get my hands on something usable. Meanwhile, please hype the video, like it, subscribe to the channel and become a member. Please also follow me on X if you're looking for AI updates. Thank you for all the support.