# Free Claude Code: Run AI Coding Agents Without Paying for Tokens > Source: > Published: 2026-10-19 00:00:00+00:00 # Free Claude Code: Run AI Coding Agents Without Paying for Tokens A practical guide to Free Claude Code, an open-source proxy that routes your coding agent to free or local LLMs instead of paid APIs. ## What is Free Claude Code? Free Claude Code (often shortened to FCC) is an independent, open-source proxy that sits between a coding agent and a model provider. Instead of sending requests straight to Anthropic’s API, the agent talks to FCC as if it were that service, and FCC quietly routes the request to whatever model you’ve configured, including free tiers from providers like OpenRouter or a model running locally through Ollama. It has no affiliation with Anthropic. The name describes what it does to a coding agent’s traffic, not where it comes from. ## TL;DR - **Free Claude Code is a local proxy** , not a fork of any official product, that intercepts coding agent requests and redirects them to a model you choose. - It can route to **free API tiers, paid subscriptions, or models running entirely on your own machine** through tools like Ollama. - A **dashboard running on localhost** lets you pick a default model, set per-tier overrides, and configure fallback models if one fails. - In a live test, stopping the active Ollama model mid-task caused FCC to **automatically fall back to the next configured model** without losing the session. - The project’s own documentation claims a large pool of free tokens per month, but **free tiers are set by each provider and can change, throttle, or disappear** without notice. - Because prompts get routed through third-party services, it’s worth **checking each provider’s data handling policy** before sending private or proprietary code through it. ## How does Free Claude Code actually work? ### Built like a system. Not vibe-coded. Remy manages the project — every layer architected, not stitched together at the last second. Think of FCC as a translator that lives on your own computer. Your coding agent, code editor, or even a chat client sends requests the normal way, formatted as if they’re going to a standard model API. FCC intercepts that traffic, and an internal router decides which actual model handles each request based on rules you set in an admin dashboard. On the other end, you can plug in almost anything: a free-tier model from an aggregator like OpenRouter, a paid API key you already pay for, or a model running locally on hardware you control, such as a quantized model served through Ollama. The agent itself doesn’t know the difference. In testing, a coding agent reported it was running on a specific Anthropic model tier, when in reality no Anthropic key was configured at all and the request had been handled entirely by a local model. The agent sends a normal request, FCC intercepts it, forwards it to whatever’s configured, and returns the answer through the same path. Same agent, different model doing the actual work. The proxy also does some basic traffic triage. Small housekeeping tasks, like generating a conversation title, can be answered locally by FCC without involving any model at all, which saves a request. Everything substantive gets forwarded to your selected model. ## How do you install and set it up? Installation is a one-line command run from a terminal, which walks through a short setup process. During install you’re asked whether to add support for things like Codex, and you can decline anything you don’t need. Once installed, you start the proxy server (keeping that terminal window open), and it opens a local dashboard in your browser. From that dashboard you configure providers. If you already have an API key for a service like OpenRouter saved on your system, FCC can detect and reuse it automatically, in one case surfacing hundreds of free models available through that key. It also scans for a locally running Ollama instance and lists whatever models you already have pulled. You can add any other custom provider too, as long as it exposes an API endpoint, whether that’s on your local network or elsewhere. After providers are connected, the “model config” section is where routing actually gets defined. A default model handles every request unless you override it. Coding agents built around the Claude API typically request different model “tiers” depending on the task (lighter tiers for simple work, heavier ones for complex reasoning), and FCC lets you map each of those tiers to a different model of your choosing, free or paid. Leaving a tier override set to “none” just routes it to whatever default model you picked. Once a model is selected, applying the config and running the command to launch the proxy-wrapped coding session starts the agent as normal, just with its backend swapped out. ## What happens when a model fails or gets interrupted? This is where the fallback system matters. FCC lets you configure a chain of backup models for each routing slot. If the primary model fails to respond after a set number of retries, FCC automatically shifts the request to the next model in the chain, within the same turn, rather than dropping the task. - ✕a coding agent - ✕no-code - ✕vibe coding - ✕a faster Cursor The one that tells the coding agents what to build. This was demonstrated directly: a coding task was started with a local Ollama model as the active backend, and partway through, that Ollama process was manually stopped. Rather than the agent session breaking, FCC detected the failure and continued the task using the next configured fallback model, with the work (installing dependencies, continuing the build task) proceeding without interruption. For anyone relying on free-tier models that may be rate-limited or occasionally unavailable, this fallback behavior is arguably more useful than the free routing itself, since it adds resilience against the exact kind of throttling free tiers are prone to. The same dashboard also exposes integrations beyond the core proxy, including messaging platforms like Telegram and Discord (via tokens you supply) and support for wiring the proxy into editors like VS Code or other agent harnesses. ## Is running coding agents this way actually worth it? It depends heavily on what you’re optimizing for. If the goal is zero cost and you’re willing to accept real tradeoffs, it’s a genuinely useful option. Free and local models, especially compared to the top-tier paid models, tend to be slower and noticeably weaker on complex reasoning and coding tasks. For straightforward scaffolding, boilerplate, or simple scripts, a local model routed through FCC can be entirely adequate. For gnarly multi-step reasoning or large codebases, expect more friction, more retries, and more supervision needed. There’s also the practical reality that free tiers aren’t guaranteed. Rate limits, throttling, and shifting terms of service are controlled entirely by each provider, not by FCC. A documented figure of over a billion free tokens available per month comes from the project’s own materials, not from any provider commitment, and should be treated as a snapshot rather than a promise. Privacy is another real consideration. Because FCC can route prompts through third-party APIs, including free tiers whose data retention policies vary, sending proprietary or sensitive code through an unfamiliar free provider carries risk. Reading each provider’s terms before pointing serious work at it is a reasonable precaution, not paranoia. For developers priced out of a full subscription, or anyone who wants to experiment with local models without losing the ergonomics of a familiar coding agent interface, the tool fills a real gap. It won’t match a frontier paid model on hard problems, but as a way to get coding agent tooling running at no cost, with a safety net against individual model failures, it does what it claims to do. ## Frequently Asked Questions ### Is Free Claude Code made or endorsed by Anthropic? No. It’s an independent, open-source project that happens to proxy requests in a way compatible with Claude-style coding agents. It has no official affiliation with Anthropic. ### Can I use Free Claude Code with models running on my own computer? Yes. It detects and connects to local model servers like Ollama automatically if one is running, letting you route coding agent requests to a model that never leaves your machine. ### What happens if my free-tier model hits a rate limit mid-task? If configured, FCC falls back to the next model in your chain after retries fail, allowing the current task to continue rather than stopping the session entirely. ### Are free models as good as paid ones like Claude Opus or Sonnet? Generally no, especially on complex reasoning or large coding tasks. Free and local models tend to be slower and less capable, though they can handle simpler tasks reasonably well. ### Is it safe to send private code through free model providers this way? Treat it cautiously. Free tiers are run by third parties with their own data policies, so it’s worth checking how each provider handles submitted prompts before routing sensitive or proprietary code through it.