AI/opencode-ide-plugin

◧ opencode

⚠️ Notice: We are in progress of a complete overhaul in the dontlook branch - should be released mid June. The README below is for the current version

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.

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://opencode.ai/install | bash

# Install a specific version
curl -fsSL https://opencode.ai/install | VERSION=0.1.0 bash

Using Homebrew (macOS and Linux)

brew install sst/tap/opencode

Using AUR (Arch Linux)

# Using yay
yay -S opencode-bin

# Using paru
paru -S opencode-bin

Using Go

go install github.com/sst/opencode@latest

Configuration

OpenCode looks for configuration in the following locations:

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

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
`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

Configuration File Structure

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

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 3.5 Sonnet
Claude 3.5 Haiku
Claude 3.7 Sonnet
Claude 3 Haiku
Claude 3 Opus

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

Using Bedrock Models

To use bedrock models with OpenCode you need three things.

Valid AWS credentials (the env vars: AWS_SECRET_KEY_ID, AWS_SECRET_ACCESS_KEY and AWS_REGION)
Access to the corresponding model in AWS Bedrock in your region. a. You can request access in the AWS console on the Bedrock -> "Model access" page.

A correct configuration file. You don't need the providers key. Instead you have to prefix your models per agent with bedrock. and then a valid model. For now only Claude 3.7 is supported.

{
"agents": {
"primary": {
  "model": "bedrock.claude-3.7-sonnet",
  "maxTokens": 5000,
  "reasoningEffort": ""
},
"task": {
  "model": "bedrock.claude-3.7-sonnet",
  "maxTokens": 5000,
  "reasoningEffort": ""
},
"title": {
  "model": "bedrock.claude-3.7-sonnet",
  "maxTokens": 80,
  "reasoningEffort": ""
}
}
}

Interactive Mode 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 or by piping text into the command. 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"

# Pipe input to OpenCode (equivalent to using -p flag)
echo "Explain the use of context in Go" | opencode

# Get response in JSON format
opencode -p "Explain the use of context in Go" -f json
# Or with piped input
echo "Explain the use of context in Go" | opencode -f json

# Run without showing the spinner
opencode -p "Explain the use of context in Go" -q
# Or with piped input
echo "Explain the use of context in Go" | opencode -q

# Enable verbose logging to stderr
opencode -p "Explain the use of context in Go" --verbose
# Or with piped input
echo "Explain the use of context in Go" | opencode --verbose

# Restrict the agent to only use specific tools
opencode -p "Explain the use of context in Go" --allowedTools=view,ls,glob
# Or with piped input
echo "Explain the use of context in Go" | opencode --allowedTools=view,ls,glob

# Prevent the agent from using specific tools
opencode -p "Explain the use of context in Go" --excludedTools=bash,edit
# Or with piped input
echo "Explain the use of context in Go" | opencode --excludedTools=bash,edit

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.

Tool Restrictions

You can control which tools the AI assistant has access to in non-interactive mode:

--allowedTools: Comma-separated list of tools that the agent is allowed to use. Only these tools will be available.
--excludedTools: Comma-separated list of tools that the agent is not allowed to use. All other tools will be available.

These flags are mutually exclusive - you can use either --allowedTools or --excludedTools, but not both at the same time.

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
`--verbose`		Display logs to stderr in non-interactive mode
`--allowedTools`		Restrict the agent to only use specified tools
`--excludedTools`		Prevent the agent from using specified tools

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)
`agent`	Run sub-tasks with the AI agent	`prompt` (required)

Shell Configuration

OpenCode allows you to configure the shell used by the bash tool. By default, it uses:

The shell specified in the config file (if provided)
The shell from the $SHELL environment variable (if available)
Falls back to /bin/bash if neither of the above is available

To configure a custom shell, add a shell section to your .opencode.json configuration file:

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

You can specify any shell executable and custom arguments:

{
  "shell": {
    "path": "/usr/bin/fish",
    "args": []
  }
}

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:

User Commands (prefixed with user:):
```
$XDG_CONFIG_HOME/opencode/commands/
```

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

   $HOME/.opencode/commands/

Project Commands (prefixed with project:):
```
<PROJECT DIR>/.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

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

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

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.

Development

Prerequisites

Go 1.24.0 or higher

Building from Source

# Clone the repository
git clone https://github.com/sst/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 file for details.

Contributing

Contributions are welcome! Here's how you can contribute:

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add some amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

Please make sure to update tests as appropriate and follow the existing code style.

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