Why agents cost more than chat
A chat assistant answers a question. An agent works a task: “the export button crashes on empty tables, fix it and add a test.”
It reads the relevant files, runs the tests, edits code, checks the result and repeats until it is done or stuck. Then it tells you what it changed.
That loop is the point, and it is also the bill. A model that costs a few cents per question can cost dollars per task.
The useful question is not whether it is free, but who pays for the model time.
The five ways “free” works
1. Free tool, your own model bill
Open-source agents such as opencode cost nothing to install. You connect a provider with your own API key or subscription, or a local model, and pay that provider.
You get the most control: any model, any provider, nothing stored by the tool itself. But unless you run models locally, the model time is not free.
2. Free plan of a paid product
Commercial tools often offer a limited free plan as a way in. Cursor's free plan, for example, lists “limited agent requests”, and its paid plans start at $8 a month, as our Cursor alternative page describes.
Some agents have no free plan at all: Anthropic's setup guide says Claude Code needs a paid Claude plan or API billing (details).
3. Free models on your own machine
With a capable GPU or an Apple silicon Mac with plenty of memory, you can run open-weight models through tools like Ollama or LM Studio and point an open-source agent at them.
Nothing leaves your computer and there is no bill. The catch: models you can run at home are usually well behind the frontier on long, multi-step tasks, and slower.
4. Free, funded by ads
Freebuff is the clearest example: its site says it is “funded by ads”, with text ads supporting the included models, and paid plans for more hours. Its privacy policy also describes using prompt and project data for ads. See OmniRush vs Freebuff.
5. Free, funded by brand ads, and data use described in its privacy policy
OmniRush works this way: frontier GPT models with a daily allowance, no card and no paid tier. It is funded by brand ads, and data use described in its privacy policy.
| Model | You pay with | Watch for |
|---|---|---|
| Open-source tool, your keys | A provider bill | Agent tasks add up fast |
| Free plan of a paid tool | Limits, then a subscription | How small the free allowance is |
| Local models | Hardware and speed | Weaker results on long tasks |
| Ad-funded | Attention, and data per the privacy policy | What is used for ads |
| Brand ads (OmniRush) | Data use per the privacy policy | Keep confidential work out |
What to check before you pick one
- Which models, really? Frontier models make a large difference on long tasks. Check what the free plan includes, not what the product offers.
- How big is the allowance, and how does it refill? Per request, per day or per week; and what happens when you run out.
- Where does it run? Desktop app, terminal, IDE, web. Check your OS and processor, especially Linux and Windows on ARM.
- What happens to your code? Read the privacy policy, not the landing page.
- What can the agent do without asking? Good agents ask before destructive commands, git writes and sudo, and some run commands in a sandbox.
- Can you leave? Your project stays your files and git history; check how to delete your account.
What it looks like in OmniRush
OmniRush is for people who build software or do research and want frontier-model work without paying for it. The models are GPT 6 Astra (the default), GPT 6.1 Sol and GPT 6 Sol; every chat starts on GPT 6 Astra.
A task is one line in the terminal:
$ omnirush -p "The CSV export crashes on empty tables (src/export/csv.ts).
Fix it, add a test, and run npm test until it passes."Or a window: the desktop app for Windows (x64), macOS (Apple silicon) and Linux (x64 and arm64, as .deb, AppImage or Arch package) adds project workspaces and swarms, where several agents split one task and hand back one summary. Our deadlock walkthrough shows one at work. The CLI runs on Windows, macOS and Linux (`npm i -g omnirush@latest`, Node.js 22.19 or newer).
The agent is careful by default: in the CLI, git writes, destructive commands and sudo ask first, and a project's commands can run in a Linux sandbox. The engine underneath is a branded build of the open-source opencode agent.
And the honest part: OmniRush is not for confidential work. Keep employers' and clients' code, secrets and customer data out of it.
A sensible setup for most people
- Use a free agent for personal projects, learning, open-source work and research you are happy to share.
- Use a paid tool with a no-training commitment, or a local model, for anything under an NDA or with customer data.
- Start agent sessions inside the project folder, never your home folder.
- Give the agent a way to check itself: the test command, the build, or steps to reproduce the bug. Fewer retries also stretch any allowance.
What setup involves
- Sign up with a GitHub account at least 7 days old. Most sign-ups are approved right away.
- Read and accept the data agreement.
- Install the desktop app, or run npm i -g omnirush@latest and then omnirush login.
- Open a project folder and describe a real task, with how to check it.
The docs cover first-run warnings on Windows and macOS, and the Linux CLI guide covers the terminal in depth.
Questions
Is there a completely free AI coding agent?
Yes, in the sense that you pay no money: open-source agents with local models, ad-funded agents like Freebuff, and OmniRush. Each is paid for some other way: hardware, ads, or, for OmniRush, brand ads, and data use described in its privacy policy.
Is OmniRush free forever?
OmniRush has no paid tier, and every account gets an allowance that refills daily. Our Terms say allowances, models and features can change, and that free access is not a promise of unlimited or permanent access.
Sources
Checked on October 19, 2026. Prices and features change: check each official page before you decide.
- opencode documentation (opencode.ai)
- Cursor pricing (cursor.com)
- Claude Code setup and account requirements (code.claude.com)
- Freebuff home page (freebuff.com)
- Freebuff privacy policy (freebuff.com)
- OmniRush Privacy Policy (what is collected and how it is used)
- OmniRush Terms of Service (free access and allowances)
- OmniRush desktop app source and releases (GitHub)
- OmniRush command-line tool on npm
OmniRush is not affiliated with or endorsed by Anysphere (Cursor), Anthropic (Claude Code), Anomaly (opencode), the Freebuff and Codebuff team, or OpenAI. Product names are trademarks of their owners and are used only to identify their products.
