Transcript
[00:00] In this video, we are looking at Freebuff, which is a CLI and a desktop coding agent IDE thing. Right there on their website, it says we make coding 100% free. If I scroll all the way to the bottom, I love this statement: We just killed paid coding agents. Now, Freebuff is from a company that also makes Codebuff. So if you want to learn about the architecture, the methodology, how Freebuff actually works, you want to check out Codebuff.
[00:30] If you go into their docs, they have a whole bunch of good information here. They do spend a lot of time comparing themselves to CloudCode. They’ve got some benchmarks that say they’re faster than CloudCode. We’ll see. They do have some pretty honest, legitimate reasons for when you want to choose Codebuff and when you want to choose CloudCode. There’s very few reasons, according to them, to choose CloudCode. But what we’re going to do is we’re going to jump into Freebuff. They have the desktop, CLI, web, yada, yada, yada. We’re going to try out the desktop, which is currently in beta.
[01:06] Real quick, if you don’t know me, my name’s Joe. I make videos like this on a semi-regular basis. I try not to waste your time. So I look all over the internet for things. I try them out. I configure them. I figure out whether they work or not. If they don’t work or they’re garbage, I don’t make videos about them. So if you like this content, you know what to do. We’re going to jump over to Freebuff.
[01:30] So this is Freebuff. This is the desktop client. Like I said, it’s in beta. You do have to sign in in order to use it. I’m going to open up a project here called Zugar. It’s just a TypeScript project. What it does is irrelevant. You can see it’s loaded up all the skills that I have installed on my machine. And if I jump down here to models or yeah, models, it is recommending I use DeepSeq V4 Flash dated as of yesterday. I can also use V4 Pro, GPT, Luna, Minimax 3. And these three are marked as premium, which means I think you get an hour a day on them or something like that. Once you start using them, there’s a countdown. And I’ll show you that in just a second.
[02:13] You can also connect it to Cloud Code if you want to. I don’t know why you would. And you can connect it to Codex. You can also earn a daily one-hour session with better models, I guess, if you share this link. So in the description, there’s going to be a link to FreeBuff. It’s going to be this link. I’m just being upfront about that. You can always just go to FreeBuff.com. You don’t have to use the link. But I think if you use the link, I get something, you get something. So great. So let’s try GPT 5.6. Now I’m going to tell it to use CodeGraph and review the project for testing gaps. And we’re just going to see what we get.
[02:53] Before it goes by too quickly, that is our very first ad. And this base 10 ad. So that’s what the text ads look like. And they appear while the agent is working or thinking or something like that. We can also see we’ve got a couple different agents firing off the file fetcher, the code searcher, and the terminal or basher tool, as they call it. And there’s our second ad. So that is the price you pay for using this software for free. You get access to really good models, some of them unlimited. And in these premium sessions, you can see down here, it’s counting down. I’m in my first minute of the premium session. And apparently with my experimenting, I’ve used 1.3 of six premium sessions, whatever that means. I’m probably wasting my free use of these premium models, but whatever, I’m just exploring this. And I think I’d actually be very happy with the unlimited models. So we’re going to let this guy continue and we’ll see what it comes up with.
[04:02] All right. So I just got a little ding here that says it’s done. It took, it took about five minutes. I didn’t respond very quickly. And it is giving me a whole thing about all the testing. This is a lot for, this is, I mean, more or less a one file project. So cool. It came back. I can tell it to start working on these tasks. This is free buff. I think you should check it out. It’s very cool. It’s free. It’s got a whole bunch of more stuff going on here that I haven’t tinkered with. There is a CLI. If you’re inclined to use a CLI, there you go. That’s free buff. Cancel your subscriptions.
Freebuff is a 100% free AI coding agent suite funded by text ads. It offers five products — Desktop app, CLI, Web app builder, Cloud IDE, and Chat — all powered by leading AI models (DeepSeek, GPT-5.6 Luna, MiniMax, MiMo, GLM) with no subscription, API key, or credit card required. It replaces paid tools like Cursor, Claude Code, and Devin by distributing model costs through advertising revenue.
Details
| URL | https://freebuff.com/?ref=ref-910e8795-5216-4817-ad25-4f694750b8aa |
| Type | Web / CLI / Desktop / Library (SDK) |
| Pricing | Free (ad-supported) |
| Open Source | Yes |
| License | Apache-2.0 |
| Tech Stack | TypeScript, Bun, Codebuff multi-agent framework, Docker (dev) |
| Platforms | macOS (Apple Silicon + Intel), Windows (64-bit + baseline), Linux (AppImage) |
| Self-Hosted | No |
Key Features
- Five products in one ecosystem — Freebuff Desktop (parallel local agents), Freebuff CLI (terminal coding), Freebuff Web (agentic full-stack app builder with live URL), Freebuff Cloud (cloud sandbox for any GitHub repo), and Freebuff Chat (deep-research AI chat)
- Multi-agent architecture — specialized agents for codebase context, implementation/review, research/browser use, and parallel local work, instead of a single monolithic model
- Model selection — choose from DeepSeek V4 Pro, DeepSeek V4 Flash, GPT-5.6 Luna, MiniMax M3, MiMo 2.5, and GLM 5.2 (earned sessions); Gemini 3.1 Flash Lite powers specialist tasks
- No API key required — sign in with GitHub or Google, and start building with included free models; supported regions get full access, others get limited access (6 one-hour sessions/day)
- Cloud sandbox — connect any GitHub repo (public or private) with editor, terminal, live preview, and deployment workflows — no subscription or setup
- Open SDK — @codebuff/sdk for embedding custom agents in other applications, built on the Codebuff open multi-agent framework
Best For
Developers, startups, and teams looking for a free alternative to paid AI coding tools (Cursor, Claude Code, Devin, Lovable, Replit) who want full access to powerful models without subscriptions or API keys, and are comfortable with ad-supported access.
Integrations
GitHub (repo connection, auth), Claude Code (local agent integration), Codex CLI (local agent integration), DeepSeek models, OpenAI (GPT-5.6 Luna), MiniMax, MiMo, GLM 5.2, Gemini 3.1 Flash Lite, Codebuff SDK (@codebuff/sdk), Docker (local development)
Notes
- TypeScript monorepo built with Bun; local development requires Docker and .env.local
- Regional access restrictions: supported regions get full model access; other regions/VPN users receive limited access (DeepSeek V4 Flash + MiMo 2.5, 6 one-hour sessions/day)
- Data policy: prompts, messages, code, and repository data may be analyzed to personalize ads; separate uploads and connected repos are not provided to ad providers. Data may be used for AI training only when a model/feature explicitly states it.
- Desktop builds are not code-signed yet — macOS requires right-click Open; Windows may show SmartScreen “Run anyway.”
- Freebuff Desktop can also run locally installed Claude Code and Codex agents using your existing provider account (separate from Freebuff’s included model catalog).
- Built by Freebuff, Inc. (2026). Discord community available.