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Alishahryar1/free-claude-code

Use Claude Code, Codex, VSCode, Pi, and OpenCode (and 6 other harnesses) for free (1.3B+ free tokens) from your terminal, app, IDE, or phone, and now from the browser with native browser sessions (multi-harness + multi-model) like OpenClaw (voice supported + ToS friendly)

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README.md

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[Quick Start](#quick-start) · [Providers](#choose-a-provider) · [Clients](#connect-your-client) · [Integrations](#optional-integrations) · [Manage](#manage-your-installation)

</div>

<p align="center">
  <em>Independent open-source project. Not affiliated with or endorsed by Anthropic. Claude and Claude Code are trademarks of Anthropic.</em>
</p>

## What You Get

- **61 ToS-friendly providers. 1.3B+ free tokens every month.** Use free, paid, subscription, and local models from one searchable UI without putting your account at risk. FCC follows provider terms and removes integrations if they stop being allowed.
- **11 coding agents. One model catalog.** Run [Claude Code](https://code.claude.com/docs/en/overview), [Codex](https://github.com/openai/codex), [Pi](https://github.com/earendil-works/pi), [OpenCode](https://github.com/anomalyco/opencode), [Cline](https://github.com/cline/cline), [Hermes](https://github.com/NousResearch/hermes-agent), [DeepSeek Harness](https://github.com/deepseek-ai/deepseek-harness), [Grok Build](https://github.com/xai-org/grok-build), [Muse Code](https://research.meta.ai/blog/introducing-muse-code-and-muse-spark-1-2/), [Aider](https://aider.chat/), or [VS Code Chat](https://code.visualstudio.com/) with your FCC models.
- **Keep coding through provider outages.** After retries are exhausted, FCC automatically tries your next configured model without making you restart the turn. This works across every client.
- **Up to 90% lower token usage.** Optional [RTK](https://github.com/rtk-ai/rtk) filters common command output, and [Headroom](https://github.com/headroomlabs-ai/headroom) compresses tool results. Five FCC optimizations handle quota probes, command-prefix detection, titles, suggestions, and filepaths without calling a provider.
- **Native Code sessions in your browser.** Choose a folder and run Codex in the browser with real-time and background support. Freely switch providers/models in the same session. Support for switching harnesses in the same session coming soon!
- **Terminal, desktop, IDE, or phone.** Work through native launchers, [VS Code](https://code.visualstudio.com/), [Codex App](https://learn.chatgpt.com/docs/app), [JetBrains](https://www.jetbrains.com/), [Discord](https://discord.com/), or [Telegram](https://telegram.org/).
- **Voice notes in. Code out.** Talk to your agent using local [Whisper](https://github.com/openai/whisper) or [NVIDIA NIM](https://docs.nvidia.com/nim/speech/latest/asr/deploy-asr-models/whisper.html) transcription.
- **Agent capabilities stay intact.** Stream responses, use tools, preserve native interleaved thinking for maximum performance, send images, and route [Fable](https://www.anthropic.com/claude/fable), [Opus](https://www.anthropic.com/claude/opus), [Sonnet](https://www.anthropic.com/claude/sonnet), and [Haiku](https://www.anthropic.com/claude/haiku) independently with compatible models.

Free-tier availability and limits are controlled by each provider and may change.

<div align="center">
  <img src="assets/pic.png" alt="Claude Code running with Free Claude Code" width="700">
  <p><em>Claude Code running with FCC.</em></p>
</div>

<div align="center">
  <img src="assets/browser-code-session.png" alt="Native Codex browser session in FCC, showing model controls and a repository exploration" width="700">
  <p><em>A native Codex session in FCC's browser UI.</em></p>
</div>

## Quick Start

### 1. Install

macOS/Linux:

```bash
curl -fsSL "https://raw.githubusercontent.com/Alishahryar1/free-claude-code/main/scripts/install.sh" | sh
```

Windows PowerShell:

```powershell
& ([scriptblock]::Create((irm "https://raw.githubusercontent.com/Alishahryar1/free-claude-code/main/scripts/install.ps1")))
```

When prompted, choose at least one coding agent and optionally enable [RTK](https://github.com/rtk-ai/rtk) + [Headroom](https://github.com/headroomlabs-ai/headroom) token optimization for supported agents.

### 2. Start FCC

#### Windows

Open **Free Claude Code** from your desktop or Start menu.

#### macOS

Open **Free Claude Code** from your desktop or Applications folder.

#### Linux

Run:

```bash
fcc-server
```

FCC opens the Admin UI after starting. On Windows and macOS, use the tray or
menu-bar icon to open Admin, restart, or quit. When using `fcc-server`, keep its
terminal open.

### 3. Configure NVIDIA NIM

1. Create an API key at [build.nvidia.com/settings/api-keys](https://build.nvidia.com/settings/api-keys).
2. Open the Admin UI URL from the server log.
3. Open NVIDIA NIM in **Providers**, click **Add key**, paste the key, and click **Save**.
4. Leave `MODEL` on the default `nvidia_nim/nvidia/nemotron-3-super-120b-a12b`, or search the model dropdown and select another model.
5. Click **Apply** to save your model selection.

To protect the local proxy with a bearer token, enable **Proxy Authentication**
in Admin.

### 4. Run Your Coding Agent

Claude Code:

```bash
fcc-claude
```

Codex:

```bash
fcc-codex
```

Pi:

```bash
fcc-pi
```

OpenCode 2:

```bash
fcc-opencode
```

Cline:

```bash
fcc-cline
```

Hermes:

```bash
fcc-hermes
```

DeepSeek Harness Web:

```bash
fcc-dsh
```

Grok Build:

```bash
fcc-grok
```

Muse Code:

```bash
fcc-muse
```

Aider:

```bash
fcc-aider
```

<div align="center">
  <img src="assets/cc-model-picker.png" alt="Claude Code model picker showing FCC models" width="700">
  <p><em>Select an FCC model from Claude Code's native <code>/model</code> picker.</em></p>
</div>

## Choose A Provider

1. Open a provider link below for its key, models, or setup instructions.
2. In the Admin UI, configure the listed setting. For OpenAI / ChatGPT
   subscription access, use **Providers → OAuth providers** instead.
3. Search the `MODEL` dropdown and select a model. If the provider cannot list
   models, enter `<provider-id>/<exact-provider-model-id>` manually.
4. Click **Apply**.

Optional: add an ordered **Fallback Models** list under **Model Config**. It
applies to every connected client. A failed request may reach and consume usage
from more than one provider before succeeding.

Provider modals support numbered API keys. Use **Add key**, remove rows, or drag their handles to reorder them. FCC uses key 1.

For another API endpoint, open **Providers → Custom providers → Add provider**. Enter its API base URL, optional keys, and API format. Leave **Model IDs** empty to discover models automatically, or enter one upstream model ID per line. Save, then select a model in **Model Config**.

<details>
<summary><strong>Provider catalog</strong></summary>

| Provider | Admin UI setting | Example `MODEL` |
| --- | --- | --- |
| [NVIDIA NIM](https://build.nvidia.com/settings/api-keys) | `NVIDIA_NIM_API_KEY` | `nvidia_nim/nvidia/nemotron-3-super-120b-a12b` |
| [OpenRouter](https://openrouter.ai/keys) | `OPENROUTER_API_KEY` | `open_router/openrouter/free` |
| [Groq](https://console.groq.com/keys) | `GROQ_API_KEY` | `groq/llama-3.3-70b-versatile` |
| [ClinePass](https://docs.cline.bot/getting-started/clinepass) | `CLINE_API_KEY` | `cline_pass/cline-pass/kimi-k3` |
| [OpenAI / ChatGPT](https://learn.chatgpt.com/docs/auth) | Connect ChatGPT in the Admin UI | `openai/<model-id>` |
| [OpenAI API](https://platform.openai.com/api-keys) | `OPENAI_API_KEY` | `openai_api/gpt-5.6-sol` |
| [GitHub Copilot](https://docs.github.com/en/copilot/how-tos/copilot-sdk/auth/authenticate) | Connect GitHub Copilot in the Admin UI | `github_copilot/<model-id>` |
| [xAI (Grok)](https://console.x.ai/team/default/api-keys) | `XAI_API_KEY` | `xai/grok-4.5` |
| [Alibaba Cloud](https://www.alibabacloud.com/help/en/model-studio/get-api-key) | `ALIBABA_CLOUD_API_KEY` | `alibaba_cloud/<model-id>` |
| [QwenCloud Token Plan](https://home.qwencloud.com/api-keys) | `QWENCLOUD_API_KEY` | `qwencloud/qwen3.7-plus` |
| [QwenCloud Coding Plan](https://home.qwencloud.com/api-keys) | `QWENCLOUD_CODING_API_KEY` | `qwencloud_coding/qwen3.7-plus` |
| [Together AI](https://api.together.ai/settings/api-keys) | `TOGETHER_API_KEY` | `together/zai-org/GLM-5.2` |
| [DeepInfra](https://deepinfra.com/dash/api_keys) | `DEEPINFRA_API_KEY` | `deepinfra/deepseek-ai/DeepSeek-V4-Flash` |
| [SiliconFlow](https://cloud.siliconflow.com/account/ak) | `SILICONFLOW_API_KEY` | `siliconflow/Qwen/Qwen3-32B` |
| [Nebius Token Factory](https://tokenfactory.nebius.com/project/api-keys) | `NEBIUS_API_KEY` | `nebius/Qwen/Qwen3-30B-A3B` |
| [Chutes](https://chutes.ai/docs/getting-started/authentication) | `CHUTES_API_KEY` | `chutes/Qwen/Qwen3-32B-TEE` |
| [Featherless AI](https://featherless.ai/account/api-keys) | `FEATHERLESS_API_KEY` | `featherless/Qwen/Qwen3-32B` |
| [Agnes AI](https://agnes-ai.com/) | `AGNES_API_KEY` | `agnes/agnes-2.0-flash` |
| [ZenMux](https://zenmux.ai/platform/pay-as-you-go) | `ZENMUX_API_KEY` | `zenmux/deepseek/deepseek-v4-flash-free` |
| [W&B Inference](https://wandb.ai/settings) | `WANDB_API_KEY` | `wandb/openai/gpt-oss-20b` |
| [Anthropic](https://platform.claude.com/settings/keys) | `ANTHROPIC_API_KEY` | `anthropic/<model-id>` |
| [Azure OpenAI](https://learn.microsoft.com/azure/foundry/openai/how-to/chatgpt) | `AZURE_OPENAI_API_KEY` and `AZURE_OPENAI_BASE_URL` | `azure_openai/<deployment-name>` |
| [Google AI Studio (Gemini)](https://aistudio.google.com/apikey) | `GEMINI_API_KEY` | `gemini/models/gemini-3.1-flash-lite` |
| [Google Vertex AI](https://cloud.google.com/vertex-ai/generative-ai/docs/start/openai) | `VERTEX_PROJECT_ID` + ADC | `vertex/google/gemini-3.5-flash` |
| [DeepSeek](https://platform.deepseek.com/api_keys) | `DEEPSEEK_API_KEY` | `deepseek/deepseek-chat` |
| [Mistral La Plateforme](https://console.mistral.ai/) | `MISTRAL_API_KEY` | `mistral/devstral-small-latest` |
| [Mistral Codestral](https://console.mistral.ai/) | `CODESTRAL_API_KEY` | `mistral_codestral/codestral-latest` |
| [OpenCode Zen](https://opencode.ai/auth) | `OPENCODE_API_KEY` | `opencode_zen/gpt-5.3-codex` |
| [OpenCode Go](https://opencode.ai/auth) | `OPENCODE_API_KEY` | `opencode_go/minimax-m2.7` |
| [Vercel AI Gateway](https://vercel.com/docs/ai-gateway/models-and-providers) | `AI_GATEWAY_API_KEY` | `vercel/openai/gpt-5.5` |
| [Amazon Bedrock](https://console.aws.amazon.com/bedrock/) | `AWS_BEARER_TOKEN_BEDROCK` | `bedrock/openai.gpt-oss-120b` |
| [Hugging Face Inference Providers](https://huggingface.co/settings/tokens) | `HUGGINGFACE_API_KEY` | `huggingface/Qwen/Qwen3-Coder-480B-A35B-Instruct:fastest` |
| [Cohere](https://dashboard.cohere.com/api-keys) | `COHERE_API_KEY` | `cohere/command-a-plus-05-2026` |
| [Wafer](https://wafer.ai/) | `WAFER_API_KEY` | `wafer/DeepSeek-V4-Pro` |
| [Kimi API](https://platform.moonshot.ai/console/api-keys) | `KIMI_API_KEY` | `kimi/kimi-k2.5` |
| [Kimi Code](https://www.kimi.com/code/console) | `KIMI_CODE_API_KEY` | `kimi_code/k3` |
| [MiniMax](https://platform.minimax.io/user-center/basic-information/interface-key) | `MINIMAX_API_KEY` | `minimax/MiniMax-M3` |
| [Cerebras Inference](https://cloud.cerebras.ai/) | `CEREBRAS_API_KEY` | `cerebras/gpt-oss-120b` |
| [SambaNova](https://cloud.sambanova.ai/apis) | `SAMBANOVA_API_KEY` | `sambanova/Meta-Llama-3.3-70B-Instruct` |
| [Kilo.ai](https://kilo.ai) | `KILO_API_KEY` | `kilo/kilo-auto/free` |
| [Fireworks AI](https://fireworks.ai/account/api-keys) | `FIREWORKS_API_KEY` | `fireworks/accounts/fireworks/models/llama-v3p3-70b-instruct` |
| [Novita AI](https://novita.ai/settings/key-management) | `NOVITA_API_KEY` | `novita/deepseek/deepseek-v4-flash-0731` |
| [Cloudflare Workers AI](https://developers.cloudflare.com/workers-ai/) | `CLOUDFLARE_API_TOKEN` and `CLOUDFLARE_ACCOUNT_ID` | `cloudflare/@cf/moonshotai/kimi-k2.6` |
| [Z.ai Coding Plan](https://z.ai/manage-apikey/apikey-list) | `ZAI_API_KEY` | `zai/glm-5.2` |
| [Z.ai API (pay as you go)](https://z.ai/manage-apikey/apikey-list) | `ZAI_API_KEY` | `zai_api/glm-4.7-flash` |
| [TokenRouter](https://www.tokenrouter.com/) | `TOKENROUTER_API_KEY` | `tokenrouter/moonshotai/kimi-k3-free` |
| [NaraRoute](https://router.bynara.id/) | `NARAROUTE_API_KEY` | `nararoute/kimi-k3-free` |
| [Poolside AI](https://platform.poolside.ai/) | `POOLSIDE_API_KEY` | `poolside/poolside/laguna-s-2.1` |
| [LLM7.io](https://dash.llm7.io/) | `LLM7_API_KEY` | `llm7/default` |
| [Scaleway](https://console.scaleway.com/iam/api-keys) | `SCW_SECRET_KEY` | `scaleway/deepseek/deepseek-v4-flash` |
| [Lightning AI](https://lightning.ai/) | `LIGHTNING_API_KEY` | `lightning/lightning-ai/Qwen3.8-27B` |
| [Experiential Labs](https://platform.experientiallabs.ai/) | `EXPLABS_API_KEY` | `experiential/union-alpha` |
| [Cheaper Inference](https://cheaperinference.com/signup) | `CHEAPER_INFERENCE_API_KEY` | `cheaperinference/gpt-5.4-mini` |
| [OrcaRouter](https://www.orcarouter.ai/) | `ORCAROUTER_API_KEY` | `orcarouter/deepseek/deepseek-v4-flash-free` |
| [Atlas Cloud](https://console.atlascloud.ai/api-keys) | `ATLASCLOUD_API_KEY` | `atlascloud/deepseek-ai/deepseek-v4-flash` |
| [xKiro](https://xkiro.com/) | `XKIRO_API_KEY` | `xkiro/qwen/qwen3.7-flash:free` |
| [Opper](https://platform.opper.ai/) | `OPPER_API_KEY` | `opper/claude-sonnet-4-6` |
| [Ollama Cloud](https://ollama.com/settings/keys) | `OLLAMA_API_KEY` | `ollama_cloud/qwen3-coder:480b` |
| [LM Studio](https://lmstudio.ai/) | `LM_STUDIO_BASE_URL` | `lmstudio/<model-id>` |
| [llama.cpp](https://github.com/ggml-org/llama.cpp) | `LLAMACPP_BASE_URL` | `llamacpp/<model-id>` |
| [Ollama](https://ollama.com/) | `OLLAMA_BASE_URL` | `ollama/<model-tag>` |

</details>

<details>
<summary><strong>Provider-specific setup</strong></summary>

- OpenAI / ChatGPT uses your ChatGPT subscription rather than an API key. Connect from
  **Providers → OAuth providers → OpenAI / ChatGPT → Connect** in the Admin UI
  and finish signing in through your browser. Restart an already-running agent after connecting.
- Anthropic uses a separately billed API key. Add it under
  **Providers → Cloud providers → Anthropic → Configure**, then choose a discovered
  model. Multi-workspace keys also require `ANTHROPIC_WORKSPACE_ID`.
- OpenAI API uses a separate Platform API key. Enter it under
  **Providers → Cloud providers → OpenAI API → Configure**. The model list may
  include IDs that cannot handle coding requests. Choose a text-generation model.
- GitHub Copilot uses your signed-in GitHub account and subscription. Install
  [Copilot CLI 1.0.83](https://github.com/github/copilot-cli/releases/tag/v1.0.83)
  on PATH, then choose **Providers → OAuth providers → GitHub Copilot → Connect**.
  Finish signing in, then select a `github_copilot/<model-id>` from the model picker.
  Available models and quotas depend on your subscription and organization policies.
  Restart an already-running agent after connecting.
- Azure OpenAI uses the deployment names from your resource. Set
  `AZURE_OPENAI_BASE_URL` to its complete v1 endpoint, such as
  `https://YOUR-RESOURCE-NAME.openai.azure.com/openai/v1/`, and select a
  deployment that supports Chat Completions. Enter the deployment name as a
  custom model slug if it does not appear in the model dropdown.
- Mistral Codestral uses a separate key from Mistral La Plateforme.
- Kimi Code subscription keys use `kimi_code/`. Kimi API credit keys use
  `kimi/`. Kimi Code plans are for personal interactive coding-agent use under
  [Kimi's community guidelines](https://www.kimi.com/code/docs/en/kimi-code/community-guidelines.html).
- Alibaba Cloud uses a Model Studio pay-as-you-go key and defaults to Singapore.
  For another region or workspace, set `ALIBABA_CLOUD_BASE_URL` to its
  [OpenAI-compatible endpoint](https://www.alibabacloud.com/help/en/model-studio/base-url)
  ending in `/compatible-mode/v1`. The key and endpoint must use the same region.
- QwenCloud Coding Plan keys use `qwencloud_coding/`. QwenCloud Token Plan keys
  use `qwencloud/`. The keys and endpoints are not interchangeable. Coding Plan
  is for local, personal, interactive coding-agent use under the
  [Coding Plan terms](https://www.alibabacloud.com/help/en/model-studio/coding-plan).
- OpenCode Zen and OpenCode Go share `OPENCODE_API_KEY` but use the explicit
  `opencode_zen/` and `opencode_go/` model prefixes.
- For Amazon Bedrock, set `BEDROCK_BASE_URL` to the URL for the same region as
  the API key and select one of the listed models.
- Vertex AI uses Google Application Default Credentials instead of an API key.
  Locally, run `gcloud auth application-default login` once. Service-account
  files and attached service accounts also work. Set `VERTEX_PROJECT_ID`, and
  optionally change `VERTEX_LOCATION` from its `global` default.
- Cloudflare requires both its API token and account ID.
- For Ollama Cloud, use the exact model IDs shown in the model picker. Local
  Ollama uses the separate `ollama/` prefix.
- Prefer tool-capable models for coding agents. Local models also need enough context for the agent's system prompt and tool definitions.

</details>

<details>
<summary><strong>Local provider setup</strong></summary>

### LM Studio

Start LM Studio's local server, load a tool-capable model, and use the model identifier shown by LM Studio with the `lmstudio/` prefix. The default URL is `http://localhost:1234/v1`.

### llama.cpp

Start `llama-server` with its OpenAI-compatible Chat Completions API and enough context for the model. Use the local model ID with the `llamacpp/` prefix. `LLAMACPP_BASE_URL` defaults to `http://localhost:8080/v1`.

### Ollama

```bash
ollama pull llama3.1
ollama serve
```

Use the tag shown by `ollama list` with the `ollama/` prefix. `OLLAMA_BASE_URL` defaults to `http://localhost:11434`.

</details>

<details>
<summary><strong>Optional model-tier routing</strong></summary>

`MODEL` is the fallback for every request. Select a model for `MODEL_FABLE`, `MODEL_OPUS`, `MODEL_SONNET`, or `MODEL_HAIKU` to override an individual Claude Code tier. Select **None** to use `MODEL`.

In **Admin UI → Model Config**, add **Fallback Models** in the order FCC should try them if the selected model fails. Each fallback has its own reasoning effort: **Inherit**, **Off**, **From client**, **Low**, **Medium**, **High**, **X-High**, or **Max**.

Choose a model, effort, and API key number in the bottom row, then click **+**. **Key 1**, **Key 2**, and so on refer to the current numbered keys in that provider's settings. Edit the selections in place, drag the handle to change the order, or click the red trash button to remove a fallback.

**Inherit** keeps the original request's resolved reasoning setting. **From client** uses the effort or token budget sent by your coding agent, bypassing the global or tier setting. You can select the same model with another key number.

</details>

<details>
<summary><strong>Reasoning control</strong></summary>

Open **Admin UI → Model Config → Model Routing** and choose an effort beside each model. **Default Effort** starts at **From client**. Fable, Opus, Sonnet, and Haiku start at **Inherit**.

| Selection | Behavior |
| --- | --- |
| **From client** | Use the effort sent by your coding agent. If none is sent, keep the provider default. |
| **Off** | Request reasoning to be disabled. |
| **Low**, **Medium**, **High**, **X-High**, or **Max** | Override the client with the selected reasoning level. |
| **Inherit** | Tier overrides use Default Effort. Fallbacks keep the original request's resolved effort. |

</details>

## Connect Your Client

FCC launchers automatically start the server.

For editor and app integrations, install the client, start FCC, then open
**Admin UI → Integrations** and click **Connect** on its card.

- **Claude Code in VS Code**: Install the [Claude Code extension](https://marketplace.visualstudio.com/items?itemName=anthropic.claude-code).
- **VS Code Chat**: Install the latest [VS Code](https://code.visualstudio.com/), connect, and select an FCC model in its built-in Chat model picker.
- **Claude Desktop**: Install [Claude Desktop](https://claude.ai/download). Fully quit it before connecting or disconnecting, then reopen it. Disconnect returns to normal Claude sign-in.
- **Codex in VS Code and App**: Install the [Codex extension](https://marketplace.visualstudio.com/items?itemName=openai.chatgpt) or Codex App.
- **DeepSeek Harness Desktop**: Install and open the app once before connecting. Start a new session to use FCC models.
- **Claude Code in JetBrains ACP**: Install Claude Agent in JetBrains AI Assistant and start it once, then click **Connect** in FCC. Reopen the IDE, select **Claude Code (FCC)**, and start a new chat. After JetBrains updates the agent, restart FCC before starting a new chat. Requires a local IDE in its standard installation locations.

Reload VS Code or restart the app/IDE after connecting. In Codex and Claude Desktop, select an FCC
model from the model picker. Reload or restart the client when FCC reports updated settings. Use
**Disconnect** on the same card to remove the integration.

To complete Claude Code onboarding separately, open **Admin UI → Integrations →
Claude Code onboarding** and click **Complete onboarding**. Connecting Claude Code
in VS Code also completes onboarding.

Run FCC on the same computer and in the same user environment as the client you
are configuring.

## Optional Integrations

Configure integrations from **Admin UI → Messaging**, then click **Apply**.

<details>
<summary><strong>Discord bot</strong></summary>

1. Create a bot in the [Discord Developer Portal](https://discord.com/developers/applications).
2. Enable **Message Content Intent** and invite it with read, send,
   message-history, and **Manage Messages** permissions so `/clear` can remove
   user prompts.
3. Set **Messaging Platform** to **discord**.
4. Enter **Discord Bot Token**, **Allowed Discord Channels**, and an absolute **Allowed Directory**.
5. Apply the settings and restart the server if requested.

</details>

<details>
<summary><strong>Telegram bot</strong></summary>

1. Create a bot with [@BotFather](https://t.me/BotFather).
2. Get your numeric user ID from [@userinfobot](https://t.me/userinfobot).
   In groups, grant the bot permission to delete messages.
3. Set **Messaging Platform** to **telegram**.
4. Enter **Telegram Bot Token**, **Allowed Telegram User ID**, and an absolute **Allowed Directory**.
5. Apply the settings and restart the server if requested.

</details>

### Messaging commands

| Usage | Behavior |
| --- | --- |
| `/stats` | Show session state. |
| Standalone `/stop` | Cancel all work. |
| Reply with `/stop` | Cancel only the selected request while other queued requests continue. |
| Standalone `/clear` | Clear all FCC conversations and their messages in this chat. |
| Reply with `/clear` | Delete the selected message and the chain of replies to it. Keep other conversations. |

<details>
<summary><strong>Voice notes</strong></summary>

NVIDIA NIM transcription support is included in every installation. In **Admin UI → Messaging → Voice**, enable voice notes, select `nvidia_nim`, and choose a supported model. Configure your **NVIDIA NIM API key** on the Providers page.

For local Whisper on CPU or CUDA, re-run the installer with the local voice option:

macOS/Linux:

Local Whisper on CPU or CUDA:

```bash
curl -fsSL "https://raw.githubusercontent.com/Alishahryar1/free-claude-code/main/scripts/install.sh" | sh -s -- --voice-local
```

Local Whisper with CUDA 13.0:

```bash
curl -fsSL "https://raw.githubusercontent.com/Alishahryar1/free-claude-code/main/scripts/install.sh" | sh -s -- --voice-local --torch-backend cu130
```

Windows PowerShell:

Local Whisper on CPU or CUDA:

```powershell
& ([scriptblock]::Create((irm "https://raw.githubusercontent.com/Alishahryar1/free-claude-code/main/scripts/install.ps1"))) -VoiceLocal
```

Local Whisper with CUDA 13.0:

```powershell
& ([scriptblock]::Create((irm "https://raw.githubusercontent.com/Alishahryar1/free-claude-code/main/scripts/install.ps1"))) -VoiceLocal -TorchBackend cu130
```

After installing local support, restart `fcc-server`. In **Admin UI → Messaging → Voice**, enable voice notes, select `cpu` or `cuda`, and choose the Whisper model. Local gated models need `HUGGINGFACE_API_KEY`.

</details>

## Manage Your Installation

Run `fcc-server --version` to check the installed version without starting FCC.

### Update

Stop all running FCC commands, then run:

```sh
fcc-update
```

The update installs the checked stable FCC release with its matching installer.

To reinstall FCC or change optional components while already up to date, run the [installer](#install) directly.

For local voice support, include `--voice-local` (macOS/Linux) or `-VoiceLocal` (Windows), plus your `--torch-backend` or `-TorchBackend` option if used.

### Muse Code on native Windows

To install or update only Muse Code:

```powershell
& ([scriptblock]::Create((irm "https://raw.githubusercontent.com/Alishahryar1/free-claude-code/main/scripts/install-muse.ps1")))
```

To remove the Muse Code copy installed by FCC, keeping its data:

```powershell
& ([scriptblock]::Create((irm "https://raw.githubusercontent.com/Alishahryar1/free-claude-code/main/scripts/uninstall-muse.ps1")))
```

Uninstalling FCC leaves Muse Code installed.

### Uninstall

Stop every running FCC command before uninstalling.

**Removes**

- Free Claude Code, including its desktop launcher and commands
- `~/.fcc/`

**Keeps**

- uv and Python
- Your coding agents, RTK, and Headroom

macOS/Linux:

```bash
curl -fsSL "https://raw.githubusercontent.com/Alishahryar1/free-claude-code/main/scripts/uninstall.sh" | sh
```

Windows PowerShell:

```powershell
& ([scriptblock]::Create((irm "https://raw.githubusercontent.com/Alishahryar1/free-claude-code/main/scripts/uninstall.ps1")))
```

## Project Links

For a problem after installation, run the command below and paste its output into your bug report.

```bash
fcc-doctor
```

- [Report bugs or request features](https://github.com/Alishahryar1/free-claude-code/issues)
- [Contributing guide](CONTRIBUTING.md)

## License

GNU Affero General Public License version 3 only (`AGPL-3.0-only`). See [LICENSE](LICENSE) for details.

Repository info

Default branch: main
Latest version: v6.16.6
Created: 2026-01-29
Last activity: 2026-10-14
License: Other
Open issues: 306
Watchers: 408

Contributors

Alishahryar1

989 contributions

cursoragent

53 contributions

dependabot[bot]

43 contributions

Tanishq-1

8 contributions

rishiskhare

7 contributions