opencode-ai/opencode

Archived: Project has Moved

This repository is no longer maintained and has been archived for provenance.

The project has continued under the name [Crush][crush], developed by the original author and the Charm team.

Please follow [Crush][crush] for ongoing development.

[crush]: https://github.com/charmbracelet/crush

⌬ OpenCode

⚠️ Early Development Notice: This project is in early development and is not yet ready for production use. Features may change, break, or be incomplete. Use at your own risk.

A powerful terminal-based AI assistant for developers, providing intelligent coding assistance directly in your terminal.

Overview

OpenCode is a Go-based CLI application that brings AI assistance to your terminal. It provides a TUI (Terminal User Interface) for interacting with various AI models to help with coding tasks, debugging, and more.

For a quick video overview, check out OpenCode + Gemini 2.5 Pro: BYE Claude Code! I'm SWITCHING To the FASTEST AI Coder!

Features

• Interactive TUI: Built with Bubble Tea for a smooth terminal experience
• Multiple AI Providers: Support for OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, Groq, Azure OpenAI, and OpenRouter
• Session Management: Save and manage multiple conversation sessions
• Tool Integration: AI can execute commands, search files, and modify code
• Vim-like Editor: Integrated editor with text input capabilities
• Persistent Storage: SQLite database for storing conversations and sessions
• LSP Integration: Language Server Protocol support for code intelligence
• File Change Tracking: Track and visualize file changes during sessions
• External Editor Support: Open your preferred editor for composing messages
• Named Arguments for Custom Commands: Create powerful custom commands with multiple named placeholders

Installation

Using the Install Script

# Install the latest version
curl -fsSL https://raw.githubusercontent.com/opencode-ai/opencode/refs/heads/main/install | bash
Install a specific version
curl -fsSL https://raw.githubusercontent.com/opencode-ai/opencode/refs/heads/main/install | VERSION=0.1.0 bash

Using Homebrew (macOS and Linux)

brew install opencode-ai/tap/opencode

Using AUR (Arch Linux)

# Using yay
yay -S opencode-ai-bin
Using paru
paru -S opencode-ai-bin

Using Go

go install github.com/opencode-ai/opencode@latest

Configuration

OpenCode looks for configuration in the following locations:

• $HOME/.opencode.json
• $XDG_CONFIG_HOME/opencode/.opencode.json
• ./.opencode.json (local directory)

Auto Compact Feature

OpenCode includes an auto compact feature that automatically summarizes your conversation when it approaches the model's context window limit. When enabled (default setting), this feature:

• Monitors token usage during your conversation
• Automatically triggers summarization when usage reaches 95% of the model's context window
• Creates a new session with the summary, allowing you to continue your work without losing context
• Helps prevent "out of context" errors that can occur with long conversations

You can enable or disable this feature in your configuration file:

{
  "autoCompact": true // default is true
}

Environment Variables

You can configure OpenCode using environment variables:

| Environment Variable | Purpose | | -------------------------- | -------------------------------------------------------------------------------- | | ANTHROPIC_API_KEY | For Claude models | | OPENAI_API_KEY | For OpenAI models | | GEMINI_API_KEY | For Google Gemini models | | GITHUB_TOKEN | For Github Copilot models (see Using Github Copilot) | | VERTEXAI_PROJECT | For Google Cloud VertexAI (Gemini) | | VERTEXAI_LOCATION | For Google Cloud VertexAI (Gemini) | | GROQ_API_KEY | For Groq models | | AWS_ACCESS_KEY_ID | For AWS Bedrock (Claude) | | AWS_SECRET_ACCESS_KEY | For AWS Bedrock (Claude) | | AWS_REGION | For AWS Bedrock (Claude) | | AZURE_OPENAI_ENDPOINT | For Azure OpenAI models | | AZURE_OPENAI_API_KEY | For Azure OpenAI models (optional when using Entra ID) | | AZURE_OPENAI_API_VERSION | For Azure OpenAI models | | LOCAL_ENDPOINT | For self-hosted models | | SHELL | Default shell to use (if not specified in config) |

Shell Configuration

OpenCode allows you to configure the shell used by the bash tool. By default, it uses the shell specified in the SHELL environment variable, or falls back to /bin/bash if not set.

You can override this in your configuration file:

{
  "shell": {
    "path": "/bin/zsh",
    "args": ["-l"]
  }
}

This is useful if you want to use a different shell than your default system shell, or if you need to pass specific arguments to the shell.

Configuration File Structure

{
  "data": {
    "directory": ".opencode"
  },
  "providers": {
    "openai": {
      "apiKey": "your-api-key",
      "disabled": false
    },
    "anthropic": {
      "apiKey": "your-api-key",
      "disabled": false
    },
    "copilot": {
      "disabled": false
    },
    "groq": {
      "apiKey": "your-api-key",
      "disabled": false
    },
    "openrouter": {
      "apiKey": "your-api-key",
      "disabled": false
    }
  },
  "agents": {
    "coder": {
      "model": "claude-3.7-sonnet",
      "maxTokens": 5000
    },
    "task": {
      "model": "claude-3.7-sonnet",
      "maxTokens": 5000
    },
    "title": {
      "model": "claude-3.7-sonnet",
      "maxTokens": 80
    }
  },
  "shell": {
    "path": "/bin/bash",
    "args": ["-l"]
  },
  "mcpServers": {
    "example": {
      "type": "stdio",
      "command": "path/to/mcp-server",
      "env": [],
      "args": []
    }
  },
  "lsp": {
    "go": {
      "disabled": false,
      "command": "gopls"
    }
  },
  "debug": false,
  "debugLSP": false,
  "autoCompact": true
}

Supported AI Models

OpenCode supports a variety of AI models from different providers:

OpenAI

• GPT-4.1 family (gpt-4.1, gpt-4.1-mini, gpt-4.1-nano)
• GPT-4.5 Preview
• GPT-4o family (gpt-4o, gpt-4o-mini)
• O1 family (o1, o1-pro, o1-mini)
• O3 family (o3, o3-mini)
• O4 Mini

Anthropic

• Claude 4 Sonnet
• Claude 4 Opus
• Claude 3.5 Sonnet
• Claude 3.5 Haiku
• Claude 3.7 Sonnet
• Claude 3 Haiku
• Claude 3 Opus

GitHub Copilot

• GPT-3.5 Turbo
• GPT-4
• GPT-4o
• GPT-4o Mini
• GPT-4.1
• Claude 3.5 Sonnet
• Claude 3.7 Sonnet
• Claude 3.7 Sonnet Thinking
• Claude Sonnet 4
• O1
• O3 Mini
• O4 Mini
• Gemini 2.0 Flash
• Gemini 2.5 Pro

Google

• Gemini 2.5
• Gemini 2.5 Flash
• Gemini 2.0 Flash
• Gemini 2.0 Flash Lite

AWS Bedrock

• Claude 3.7 Sonnet

Groq

• Llama 4 Maverick (17b-128e-instruct)
• Llama 4 Scout (17b-16e-instruct)
• QWEN QWQ-32b
• Deepseek R1 distill Llama 70b
• Llama 3.3 70b Versatile

Azure OpenAI

• GPT-4.1 family (gpt-4.1, gpt-4.1-mini, gpt-4.1-nano)
• GPT-4.5 Preview
• GPT-4o family (gpt-4o, gpt-4o-mini)
• O1 family (o1, o1-mini)
• O3 family (o3, o3-mini)
• O4 Mini

Google Cloud VertexAI

• Gemini 2.5
• Gemini 2.5 Flash

Usage

# Start OpenCode
opencode
Start with debug logging
opencode -d
Start with a specific working directory
opencode -c /path/to/project

Non-interactive Prompt Mode

You can run OpenCode in non-interactive mode by passing a prompt directly as a command-line argument. This is useful for scripting, automation, or when you want a quick answer without launching the full TUI.

# Run a single prompt and print the AI's response to the terminal
opencode -p "Explain the use of context in Go"
Get response in JSON format
opencode -p "Explain the use of context in Go" -f json
Run without showing the spinner (useful for scripts)
opencode -p "Explain the use of context in Go" -q

In this mode, OpenCode will process your prompt, print the result to standard output, and then exit. All permissions are auto-approved for the session.

By default, a spinner animation is displayed while the model is processing your query. You can disable this spinner with the -q or --quiet flag, which is particularly useful when running OpenCode from scripts or automated workflows.

Output Formats

OpenCode supports the following output formats in non-interactive mode:

| Format | Description | | ------ | ------------------------------- | | text | Plain text output (default) | | json | Output wrapped in a JSON object |

The output format is implemented as a strongly-typed OutputFormat in the codebase, ensuring type safety and validation when processing outputs.

Command-line Flags

| Flag | Short | Description | | ----------------- | ----- | --------------------------------------------------- | | --help | -h | Display help information | | --debug | -d | Enable debug mode | | --cwd | -c | Set current working directory | | --prompt | -p | Run a single prompt in non-interactive mode | | --output-format | -f | Output format for non-interactive mode (text, json) | | --quiet | -q | Hide spinner in non-interactive mode |

Keyboard Shortcuts

Global Shortcuts

| Shortcut | Action | | -------- | ------------------------------------------------------- | | Ctrl+C | Quit application | | Ctrl+? | Toggle help dialog | | ? | Toggle help dialog (when not in editing mode) | | Ctrl+L | View logs | | Ctrl+A | Switch session | | Ctrl+K | Command dialog | | Ctrl+O | Toggle model selection dialog | | Esc | Close current overlay/dialog or return to previous mode |

Chat Page Shortcuts

| Shortcut | Action | | -------- | --------------------------------------- | | Ctrl+N | Create new session | | Ctrl+X | Cancel current operation/generation | | i | Focus editor (when not in writing mode) | | Esc | Exit writing mode and focus messages |

Editor Shortcuts

| Shortcut | Action | | ------------------- | ----------------------------------------- | | Ctrl+S | Send message (when editor is focused) | | Enter or Ctrl+S | Send message (when editor is not focused) | | Ctrl+E | Open external editor | | Esc | Blur editor and focus messages |

Session Dialog Shortcuts

| Shortcut | Action | | ---------- | ---------------- | | ↑ or k | Previous session | | ↓ or j | Next session | | Enter | Select session | | Esc | Close dialog |

Model Dialog Shortcuts

| Shortcut | Action | | ---------- | ----------------- | | ↑ or k | Move up | | ↓ or j | Move down | | ← or h | Previous provider | | → or l | Next provider | | Esc | Close dialog |

Permission Dialog Shortcuts

| Shortcut | Action | | ----------------------- | ---------------------------- | | ← or left | Switch options left | | → or right or tab | Switch options right | | Enter or space | Confirm selection | | a | Allow permission | | A | Allow permission for session | | d | Deny permission |

Logs Page Shortcuts

| Shortcut | Action | | ------------------ | ------------------- | | Backspace or q | Return to chat page |

AI Assistant Tools

OpenCode's AI assistant has access to various tools to help with coding tasks:

File and Code Tools

| Tool | Description | Parameters | | ------------- | --------------------------- | ---------------------------------------------------------------------------------------- | | glob | Find files by pattern | pattern (required), path (optional) | | grep | Search file contents | pattern (required), path (optional), include (optional), literal_text (optional) | | ls | List directory contents | path (optional), ignore (optional array of patterns) | | view | View file contents | file_path (required), offset (optional), limit (optional) | | write | Write to files | file_path (required), content (required) | | edit | Edit files | Various parameters for file editing | | patch | Apply patches to files | file_path (required), diff (required) | | diagnostics | Get diagnostics information | file_path (optional) |

Other Tools

| Tool | Description | Parameters | | ------------- | -------------------------------------- | ----------------------------------------------------------------------------------------- | | bash | Execute shell commands | command (required), timeout (optional) | | fetch | Fetch data from URLs | url (required), format (required), timeout (optional) | | sourcegraph | Search code across public repositories | query (required), count (optional), context_window (optional), timeout (optional) | | agent | Run sub-tasks with the AI agent | prompt (required) |

Architecture

OpenCode is built with a modular architecture:

• cmd: Command-line interface using Cobra
• internal/app: Core application services
• internal/config: Configuration management
• internal/db: Database operations and migrations
• internal/llm: LLM providers and tools integration
• internal/tui: Terminal UI components and layouts
• internal/logging: Logging infrastructure
• internal/message: Message handling
• internal/session: Session management
• internal/lsp: Language Server Protocol integration

Custom Commands

OpenCode supports custom commands that can be created by users to quickly send predefined prompts to the AI assistant.

Creating Custom Commands

Custom commands are predefined prompts stored as Markdown files in one of three locations:

1. User Commands (prefixed with user:):

   $XDG_CONFIG_HOME/opencode/commands/
   

(typically ~/.config/opencode/commands/ on Linux/macOS)

or

   $HOME/.opencode/commands/
   

2. Project Commands (prefixed with project:):

   /.opencode/commands/
   

Each .md file in these directories becomes a custom command. The file name (without extension) becomes the command ID.

For example, creating a file at ~/.config/opencode/commands/prime-context.md with content:

RUN git ls-files
READ README.md

This creates a command called user:prime-context.

Command Arguments

OpenCode supports named arguments in custom commands using placeholders in the format $NAME (where NAME consists of uppercase letters, numbers, and underscores, and must start with a letter).

For example:

# Fetch Context for Issue $ISSUE_NUMBER
RUN gh issue view $ISSUE_NUMBER --json title,body,comments
RUN git grep --author="$AUTHOR_NAME" -n .
RUN grep -R "$SEARCH_PATTERN" $DIRECTORY

When you run a command with arguments, OpenCode will prompt you to enter values for each unique placeholder. Named arguments provide several benefits:

• Clear identification of what each argument represents
• Ability to use the same argument multiple times
• Better organization for commands with multiple inputs

Organizing Commands

You can organize commands in subdirectories:

~/.config/opencode/commands/git/commit.md

This creates a command with ID user:git:commit.

Using Custom Commands

1. Press Ctrl+K to open the command dialog 2. Select your custom command (prefixed with either user: or project:) 3. Press Enter to execute the command

The content of the command file will be sent as a message to the AI assistant.

Built-in Commands

OpenCode includes several built-in commands:

| Command | Description | | ------------------ | --------------------------------------------------------------------------------------------------- | | Initialize Project | Creates or updates the OpenCode.md memory file with project-specific information | | Compact Session | Manually triggers the summarization of the current session, creating a new session with the summary |

MCP (Model Context Protocol)

OpenCode implements the Model Context Protocol (MCP) to extend its capabilities through external tools. MCP provides a standardized way for the AI assistant to interact with external services and tools.

MCP Features

• External Tool Integration: Connect to external tools and services via a standardized protocol
• Tool Discovery: Automatically discover available tools from MCP servers
• Multiple Connection Types:
• Stdio: Communicate with tools via standard input/output
• SSE: Communicate with tools via Server-Sent Events
• Security: Permission system for controlling access to MCP tools

Configuring MCP Servers

MCP servers are defined in the configuration file under the mcpServers section:

{
  "mcpServers": {
    "example": {
      "type": "stdio",
      "command": "path/to/mcp-server",
      "env": [],
      "args": []
    },
    "web-example": {
      "type": "sse",
      "url": "https://example.com/mcp",
      "headers": {
        "Authorization": "Bearer token"
      }
    }
  }
}

MCP Tool Usage

Once configured, MCP tools are automatically available to the AI assistant alongside built-in tools. They follow the same permission model as other tools, requiring user approval before execution.

LSP (Language Server Protocol)

OpenCode integrates with Language Server Protocol to provide code intelligence features across multiple programming languages.

LSP Features

• Multi-language Support: Connect to language servers for different programming languages
• Diagnostics: Receive error checking and linting information
• File Watching: Automatically notify language servers of file changes

Configuring LSP

Language servers are configured in the configuration file under the lsp section:

{
  "lsp": {
    "go": {
      "disabled": false,
      "command": "gopls"
    },
    "typescript": {
      "disabled": false,
      "command": "typescript-language-server",
      "args": ["--stdio"]
    }
  }
}

LSP Integration with AI

The AI assistant can access LSP features through the diagnostics tool, allowing it to:

• Check for errors in your code
• Suggest fixes based on diagnostics

While the LSP client implementation supports the full LSP protocol (including completions, hover, definition, etc.), currently only diagnostics are exposed to the AI assistant.

Using Github Copilot

_Copilot support is currently experimental._

Requirements

• Copilot chat in the IDE enabled in GitHub settings
• One of:
• VSCode Github Copilot chat extension
• Github gh CLI
• Neovim Github Copilot plugin (copilot.vim or copilot.lua)
• Github token with copilot permissions

If using one of the above plugins or cli tools, make sure you use the authenticate the tool with your github account. This should create a github token at one of the following locations:

• ~/.config/github-copilot/[hosts,apps].json
• $XDG_CONFIG_HOME/github-copilot/[hosts,apps].json

If using an explicit github token, you may either set the $GITHUB_TOKEN environment variable or add it to the opencode.json config file at providers.copilot.apiKey.

Using a self-hosted model provider

OpenCode can also load and use models from a self-hosted (OpenAI-like) provider. This is useful for developers who want to experiment with custom models.

Configuring a self-hosted provider

You can use a self-hosted model by setting the LOCAL_ENDPOINT environment variable. This will cause OpenCode to load and use the models from the specified endpoint.

LOCAL_ENDPOINT=http://localhost:1235/v1

Configuring a self-hosted model

You can also configure a self-hosted model in the configuration file under the agents section:

{
  "agents": {
    "coder": {
      "model": "local.granite-3.3-2b-instruct@q8_0",
      "reasoningEffort": "high"
    }
  }
}

Development

Prerequisites

• Go 1.24.0 or higher

Building from Source

# Clone the repository
git clone https://github.com/opencode-ai/opencode.git
cd opencode
Build
go build -o opencode
Run
./opencode

Acknowledgments

OpenCode gratefully acknowledges the contributions and support from these key individuals:

• @isaacphi - For the mcp-language-server project which provided the foundation for our LSP client implementation
• @adamdottv - For the design direction and UI/UX architecture

Special thanks to the broader open source community whose tools and libraries have made this project possible.

License

OpenCode is licensed under the MIT License. See the [LICENSE](LICENS