Freebuff

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Five free AI products for coding, building, and research.* No subscription, credits, or API key required.

Freebuff brings specialized agents and a choice of leading models to your terminal, desktop, browser, and GitHub repositories. Text ads support access to the included models.

Choose your Freebuff

Quick start

Run Freebuff in any project from your terminal:

npm install -g freebuff
cd ~/my-project
freebuff

Then describe what you want. Freebuff finds the relevant files, makes changes, and runs the checks that matter for your project.

Models

Freebuff includes a curated model catalog. The regular picker currently offers:

These limits are temporary*, and they exist because the providers serving DeepSeek now charge more than free mode can carry. V4 Pro is one session a day and closed during peak hours; GPT-5.6 Luna is one a day; V4 Flash uses your remaining premium sessions; models may serve from a quantized (Q8_0) build. MiMo 2.5 stays unlimited. All of it is intended to be reverted.

Beyond the regular picker:

• GLM 5.2* is available through earned sessions rather than as an always-unlocked model.
• Gemini 3.1 Flash Lite* powers specialist tasks such as file finding and research rather than appearing in the main picker.

Availability and limits depend on your access tier, product, and current capacity. Freebuff Desktop can also run locally installed Claude Code and Codex agents using your existing provider account; those connected models are separate from Freebuff's included catalog.

How Freebuff works

Freebuff uses specialized agents instead of sending every task through one model and one prompt. Depending on the task, agents gather context, plan, edit or research, run tools, and review the result.

• Codebase context* — File-finding agents map the relevant parts of a project before editing.
• Implementation and review* — Agents can divide work, make changes, run commands, and inspect the result.
• Research and browser use* — Agents can investigate documentation and test applications in a real browser.
• Parallel local work* — Desktop isolates concurrent agents in separate workspaces.
• Hosted environments* — Web and Cloud provide sandboxes, previews, terminals, and deployment workflows.

Free access

Freebuff is available in every country. Supported regions receive full access; other regions and VPN users receive limited access, currently MiMo 2.5 with three one-hour sessions per day, earnable up to seven.

Text ads support the included models. Freebuff shows the applicable session limits and any model-specific data-use notice before you start.

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Is my data used to train AI?* Only when a model or feature says data may be used for AI training. Freebuff or the provider may then keep submissions to develop, train, test, evaluate, fine-tune, and improve AI models or products.

How is my data used and stored?* We use prompts, messages, code, files, and repository data to provide the service. We may analyze prompts and messages—including pasted content—to personalize ads, using Freebuff systems and service providers acting on our behalf. Separate uploads and connected repositories are not provided to advertising providers. Where required by law, we provide advertising choices and honor recognized opt-out signals; elsewhere, this processing may be required to use the free service. See the Privacy Policy for retention and details.

See the Privacy Policy for complete details.

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Contributing

Freebuff is a TypeScript monorepo built with Bun. Contributions to the products, agents, tools, documentation, and underlying runtime are welcome.

Local development requires Docker and a configured .env.local; see the
Contributing Guide before starting the services.

git clone https://github.com/CodebuffAI/freebuff.git
cd freebuff
bun install
bun up

Start the CLI separately with:

bun start-cli

See the Contributing Guide, development guide, and testing guide for environment setup and the checks to run before opening a pull request.

Built on Codebuff

Freebuff is built on Codebuff, the open multi-agent framework that powers its orchestration, tools, and SDK. To create custom agents or embed them in another application, see the Codebuff documentation and <code class="ra0-md-code">@codebuff/sdk</code>.

Links

• Website
• GitHub
• Discord
• Privacy Policy
• License