OpenClaude

OpenClaude is an open-source coding-agent CLI for cloud and local model providers.

Use OpenAI-compatible APIs, Gemini, GitHub Models, Codex OAuth, Codex, Ollama, Atomic Chat, and other supported backends while keeping one terminal-first workflow: prompts, tools, agents, MCP, slash commands, and streaming output.

OpenClaude is also mirrored to GitLawb: gitlawb.com/node/repos/z6MkqDnb/openclaude

Quick Start | Setup Guides | Providers | Source Build | VS Code Extension | Sponsors | Community

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Why OpenClaude

• Use one CLI across cloud APIs and local model backends
• Save provider profiles inside the app with /provider
• Run with OpenAI-compatible services, Gemini, GitHub Models, Codex OAuth, Codex, Ollama, Atomic Chat, and other supported providers
• Keep coding-agent workflows in one place: bash, file tools, grep, glob, agents, tasks, MCP, and web tools
• Use the bundled VS Code extension for launch integration and theme support

Quick Start

Install

npm install -g @gitlawb/openclaude@latest

If you're on Arch Linux, you can install OpenClaude from the community-maintained AUR package:

paru -S openclaude

If the install later reports ripgrep not found, install ripgrep system-wide and confirm rg --version works in the same terminal before starting OpenClaude.

Verify / troubleshoot installed version:

openclaude --version
npm view @gitlawb/openclaude dist-tags
npm install -g @gitlawb/openclaude@latest

Start

openclaude

Inside OpenClaude:

• run /provider for guided provider setup and saved profiles
• run /onboard-github for GitHub Models onboarding

Fastest OpenAI setup

macOS / Linux:

export CLAUDE_CODE_USE_OPENAI=1
export OPENAI_API_KEY=sk-your-key-here
export OPENAI_MODEL=gpt-4o

openclaude

Windows PowerShell:

$env:CLAUDE_CODE_USE_OPENAI="1"
$env:OPENAI_API_KEY="sk-your-key-here"
$env:OPENAI_MODEL="gpt-4o"

openclaude

Fastest local Ollama setup

macOS / Linux:

export CLAUDE_CODE_USE_OPENAI=1
export OPENAI_BASE_URL=http://localhost:11434/v1
export OPENAI_MODEL=qwen2.5-coder:7b

openclaude

Windows PowerShell:

$env:CLAUDE_CODE_USE_OPENAI="1"
$env:OPENAI_BASE_URL="http://localhost:11434/v1"
$env:OPENAI_MODEL="qwen2.5-coder:7b"

openclaude

Setup Guides

Beginner-friendly guides:

• Non-Technical Setup
• Windows Quick Start
• macOS / Linux Quick Start

Advanced and source-build guides:

• Advanced Setup
• Android Install

Supported Providers

What Works

• Tool-driven coding workflows: Bash, file read/write/edit, grep, glob, agents, tasks, MCP, and slash commands
• Streaming responses: Real-time token output and tool progress
• Tool calling: Multi-step tool loops with model calls, tool execution, and follow-up responses
• Images: URL and base64 image inputs for providers that support vision
• Provider profiles: Guided setup plus saved user-level provider profile support
• Local and remote model backends: Cloud APIs, local servers, and Apple Silicon local inference

Provider Notes

OpenClaude supports multiple providers, but behavior is not identical across all of them.

• Anthropic-specific features may not exist on other providers
• Tool quality depends heavily on the selected model
• Smaller local models can struggle with long multi-step tool flows
• Some providers impose lower output caps than the CLI defaults, and OpenClaude adapts where possible
• Gitlawb Opengateway is the fresh-install startup default and requires an API key from https://gitlawb.com/opengateway/keys. It uses one OpenAI-compatible base URL; switch between mimo-* and google/gemini-3.1-flash-lite-preview with /model, and do not pin the base URL to /v1/xiaomi-mimo.
• Xiaomi MiMo uses api-key header auth on the direct OpenAI-compatible route and currently does not support /usage reporting in OpenClaude

GitHub Copilot sub-agent optimization

When CLAUDE_CODE_USE_GITHUB=1, OpenClaude serializes sub-agent execution to reduce GitHub Copilot Premium Request consumption. Default behavior is GITHUB_COPILOT_MAX_SUBAGENTS=1 (synchronous, one sub-agent at a time). Tuning vars (all optional):

The is_async field reported in the tengu_agent_tool_selected event and the agent metadata now reflects the final execution mode (i.e., false when synchronous is forced). See .env.example for the full descriptions.

For best results, use models with strong tool/func