Use Claude Code, Codex, Pi, and OpenCode for free (1.3B+ free tokens) from your terminal, app, IDE, or phone like OpenClaw (voice supported + ToS friendly)
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<em>Independent open-source project. Not affiliated with or endorsed by Anthropic. Claude and Claude Code are trademarks of Anthropic.</em>
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<img src="assets/pic.png" alt="Claude Code running with Free Claude Code" width="700">
<p><em>Claude Code running with FCC.</em></p>
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<img src="assets/admin-page.png" alt="Free Claude Code Admin UI" width="700">
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<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>
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<details>
<summary><strong>Provider catalog</strong></summary>
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<summary><strong>Provider-specific setup</strong></summary>
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<summary><strong>Local provider setup</strong></summary>
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<summary><strong>Optional model-tier routing</strong></summary>
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<summary><strong>Reasoning control</strong></summary>
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<summary><strong>Claude Code in VS Code</strong></summary>
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<summary><strong>Codex App</strong></summary>
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<summary><strong>Codex in VS Code</strong></summary>
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<summary><strong>Claude Code in JetBrains ACP</strong></summary>
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<summary><strong>Claude Code still asks you to log in</strong></summary>
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<summary><strong>Discord bot</strong></summary>
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<summary><strong>Telegram bot</strong></summary>
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<summary><strong>Voice notes</strong></summary>
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What You Get
50 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.
Keep coding through provider outages. After retries are exhausted, FCC automatically tries your next configured model without making you restart the turn—across every client.
Up to 90% fewer terminal-output tokens. Optional RTK filters common command output, while five FCC optimizations handle quota probes, command-prefix detection, titles, suggestions, and filepaths without calling a provider.
Private local chat. Use Chat Sessions in Admin to talk with any configured FCC model, with persisted history, thinking controls, streaming, fallback, and compaction.
Voice notes in. Code out. Talk to your agent using local Whisper or NVIDIA NIM transcription.
Agent capabilities stay intact. Stream responses, use tools, preserve native interleaved thinking for maximum performance, send images, and route Fable, Opus, Sonnet, and Haiku independently with compatible models.
Free-tier availability and limits are controlled by each provider and may change.
Quick Start
<a id="install"></a>
1. Install Or Update
macOS/Linux:
curl -fsSL "https://raw.githubusercontent.com/Alishahryar1/free-claude-code/main/scripts/install.sh" | sh
Re-run the same command to update. When prompted, choose at least one coding agent and optionally RTK. You can review the installers before running them: install.sh and install.ps1.
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:
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.
Leave MODEL on the default nvidia_nim/nvidia/nemotron-3-super-120b-a12b, or search the model dropdown and select another model.
Click Apply.
To protect the local proxy with a bearer token, enable Proxy Authentication
in Admin.
4. Run Your Coding Agent
Claude Code:
fcc-claude
Codex:
fcc-codex
Pi:
fcc-pi
OpenCode:
fcc-opencode
Cline:
fcc-cline
Hermes:
fcc-hermes
DeepSeek Harness Web:
fcc-dsh
Grok Build:
fcc-grok
Muse Code:
fcc-muse
Aider:
fcc-aider
<a id="model-picker"></a>
Choose A Provider
Open a provider link below for its key, models, or setup instructions.
In the Admin UI, configure the listed setting. For OpenAI, use
Providers → Connected accounts instead.
Search the MODEL dropdown and select a model. If the provider cannot list
models, enter <provider-id>/<exact-provider-model-id> manually.
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.
OpenAI uses your ChatGPT subscription rather than an API key. Connect from
Providers → Connected accounts in the Admin UI. Use device code on
headless systems. 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.
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.
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.
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; FCC accepts either the server root or an explicit /v1 suffix.
Ollama
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; FCC accepts either the root URL or an explicit /v1 suffix.
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.
For example, route Opus to nvidia_nim/nvidia/nemotron-3-super-120b-a12b, Sonnet to open_router/openrouter/free, Haiku to lmstudio/qwen3.5-coder, and keep MODEL on zai/glm-5.2.
Open Admin UI → Model Config → Reasoning and select the behavior you want.
| Selection | Behavior |
| --- | --- |
| From client (default) | Use the effort sent by Claude Code, Codex, Pi, OpenCode, Cline, Hermes, DeepSeek Harness, Grok Build, Muse Code, or Aider. 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 (Fable, Opus, Sonnet, and Haiku only) | Use the root Reasoning selection. |
Providers that do not support a selected control retain their own behavior.
<a id="connect-your-client"></a>
Connect Your Client
For terminal use, start fcc-server, then run fcc-claude, fcc-codex,
fcc-pi, fcc-opencode, fcc-cline, fcc-hermes, fcc-dsh, fcc-grok,
fcc-muse, or fcc-aider.
Use the guides below for editor integrations.
model_provider = "fcc"
model = "nvidia_nim/nvidia/nemotron-3-super-120b-a12b"
[model_providers.fcc]
name = "Free Claude Code"
base_url = "http://127.0.0.1:8082/v1"
wire_api = "responses"
[model_providers.fcc.auth]
command = "fcc-codex"
args = ["--print-proxy-auth-token"]
Match the model and port to the Admin UI. The auth command reads FCC's current
proxy token automatically. Restart the Codex App after setup or model changes,
then select an FCC model from its model picker.
Install the Codex extension. Create or edit ~/.codex/config.toml (%USERPROFILE%\.codex\config.toml on Windows):
model_provider = "fcc"
model = "nvidia_nim/nvidia/nemotron-3-super-120b-a12b"
[model_providers.fcc]
name = "Free Claude Code"
base_url = "http://127.0.0.1:8082/v1"
wire_api = "responses"
[model_providers.fcc.auth]
command = "fcc-codex"
args = ["--print-proxy-auth-token"]
Match model and the port to the Admin UI. The auth command reads FCC's current
proxy token automatically. Restart VS Code after setup or model changes. For
WSL-backed Codex, edit the file inside WSL.
Get your numeric user ID from @userinfobot.
In groups, grant the bot permission to delete messages.
Set Messaging Platform to telegram.
Enter Telegram Bot Token, Allowed Telegram User ID, and an absolute Allowed Directory.
Apply the settings and restart the server if requested.
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 | Reset all FCC state and remove every tracked message in that chat, including user prompts, voice notes, FCC replies, Telegram's online notice, and the clear command itself. |
| Reply with /clear | Delete the selected message and its literal platform reply subtree while preserving its ancestors and siblings. |
Re-run the installer with the command for your voice backend.
macOS/Linux:
NVIDIA NIM transcription:
curl -fsSL "https://raw.githubusercontent.com/Alishahryar1/free-claude-code/main/scripts/install.sh" | sh -s -- --voice-nim
Local Whisper on CPU or CUDA:
curl -fsSL "https://raw.githubusercontent.com/Alishahryar1/free-claude-code/main/scripts/install.sh" | sh -s -- --voice-local
Both backends:
curl -fsSL "https://raw.githubusercontent.com/Alishahryar1/free-claude-code/main/scripts/install.sh" | sh -s -- --voice-all
Local Whisper with CUDA 13.0:
curl -fsSL "https://raw.githubusercontent.com/Alishahryar1/free-claude-code/main/scripts/install.sh" | sh -s -- --voice-local --torch-backend cu130
Restart fcc-server. In Admin UI → Messaging → Voice, enable voice notes, select cpu, cuda, or nvidia_nim, and choose the Whisper model. Local gated models need HUGGINGFACE_API_KEY; NVIDIA NIM transcription needs NVIDIA_NIM_API_KEY.
Manage Your Installation
Run fcc-server --version to check the installed version without starting FCC.
