CodebuffAI/freebuff

▲ 37 stars today★ 14,064⑂ 1,511

The free coding agent

About CodebuffAI/freebuff

CodebuffAI/freebuff is an open-source project on GitHub, mainly written in TypeScript. The free coding agent It currently holds 14,064 stars and 1,511 forks with 246 open issues, and was last pushed on 2026-11-09 (repository created 2024-07-09).

Project Overview

AI Homed tracks it on the Today's Trending board, currently at rank #30 with 37 new stars today.

GitHub Repository Details

Repository CodebuffAI/freebuff · default branch main · size 178908 KB · watchers 79 · source: GitHub REST API and repository README

README

Freebuff

English | 简体中文

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

| Product | What it does | Get started | | -------------------- | ----------------------------------- | --------------------------------------------------------------------- | | Freebuff Desktop | Run parallel agents locally | Download for macOS, Windows, or Linux | | Freebuff CLI | Code from your terminal | Install the CLI | | Freebuff Web | Build and ship full-stack apps | Build an app | | Freebuff Cloud | Run agents on any GitHub repository | Connect a repository | | Freebuff Chat | Research and think with AI | Start a chat |

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:

| Model | Access | Best for | | --------------------------- | ----------------------- | ----------------------------------------------------------------- | | DeepSeek V4.1 Flash 10/17 | Full and limited access | The default everywhere; fast coding and tool use | | MiMo v2.6 Flash Fast | Full and limited access | Balanced performance with image support; no longer the default | | GLM 5.3 Flash | Full and limited access | Deepest reasoning | | DeepSeek V4.1 Flash Fast 10/17 | Full access; paid plans at limited access | Fast mode: the same model on DeepSeek's own API, splitting work across parallel subagents and verifying the result; priced on DeepSeek's peak and off-peak hours | | GPT-6 Luna | Full access | Strong all-around with native images; runs on OpenAI flex capacity | | MiMo 2.6 Pro | Full access | Xiaomi's stronger reasoning model, with image support | | Solar Mini 4 | Full and limited access | Upstage's fast, compact model; 524K context, text only | | Solar Pro 4 | Full and limited access | Upstage's larger, stronger model; 524K context, text only | | Gemini 3.8 Flash | Paid plans | 1M context, and the only model that accepts audio, video and PDF | | Muse Spark 1.3 | Paid plans | Meta's agentic coding model; 1M context. When it is busy or unavailable, it answers on DeepSeek V4.1 Flash rather than making you wait | | Gemini 4 Argon | US, or paid plans elsewhere | Google's flagship reasoning model, one session a day for every account; 1M context, images | | GPT-6.1 Terra | Full access; paid plans at limited access | OpenAI's model at a temporary promotional price, one session a day for every account; 1M context, images | | GPT-6.1 Sol | US, or paid plans elsewhere | OpenAI's flagship, one session a day for every account; 1M context, images |

Prices change often, so this README does not list them: the model picker shows what each model costs as a multiplier. An hour on a 1x model uses one hour of your balance, an hour on a 3x model uses three, and models in the picker's Unlimited section use none. Models may still serve from a quantized (Q8_0) build.

DeepSeek V4 Pro was retired from the catalog; GLM 5.3 Flash replaces it as the deep-reasoning pick.

Beyond the regular 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.

Free access

Freebuff is available in every country. Supported regions receive full access; other regions and VPN users receive limited access to GLM 5.3 Flash, DeepSeek V4.1 Flash 10/17, MiMo v2.6 Flash Fast, Solar Mini 4, and Solar Pro 4. Every model is paid for in hours at the multiplier shown in the picker: an hour of MiMo v2.6 Flash Slow uses one hour of balance, a 3x model uses three. The free limited-access allowance is 5 hours a day, or 4 on a VPN or proxy, spent first on every model, GLM included; earned hours go into your wallet and are used after it. (Balances read in hours since 2026-10-15; 1 hour = 5 Freebucks.)

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

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, and Freebuff may share or sell them to third parties. Separately, Freebuff may use your data to train the models that choose and measure ads.

How is my data used and stored? Freebuff uses your messages, agent traces, and files to run the service and respond to your requests. We may analyze this data, and how you use the app, to personalize ads and train ad models. We do not give separately uploaded files, project files, or connected repositories to advertising providers. Restricted partners may evaluate repositories you connect to Freebuff Cloud, but cannot otherwise use, broadly share, or train on them. See the Privacy Policy for details.

Does Freebuff read files outside my project? No, with a few exceptions, such as files an agent reads in the conversation, files you share, and settings like your agent instructions and skills. See the Privacy Policy for details.

See the Privacy Policy for complete details.

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 @codebuff/sdk.

Links

GitHub Stars & Activity

14,064Stars
1,511Forks
246Open issues
TypeScriptLanguage

GitHub Popularity

GitHub stars14,064
Forks1,511
Open issues246
Primary languageTypeScript
LicenseApache-2.0
Stars gained today37
Created2024-07-09
Last pushed2026-11-09

Trending History

Daily boardrank #30 · ▲ 37 stars

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