木 Pando

Fork of OpenCode by Kujtim Hoxha. Maintained by José F. Rives.

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

Overview

Pando is a Go-based CLI application that brings AI assistance to your terminal. It provides a TUI (Terminal User Interface), PWA WebUI and desktop application 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 Github copilot, OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, Groq, Azure OpenAI, Ollama, Llama.cpp, and OpenRouter. Also any OpenAI compatible provider, including self-hosted models with the local provider.
• 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
• Configuration: Supports both JSON and TOML configuration files
• PWA WebUI: Access Pando through a web interface for a more visual experience in React (embedded into the binary). Access remotely or locally via browser. Perfect team with Tailscale or Zerotier distributed vpn for remote access.
  • Code Editor: Using the same component to VisualStudio Code's editor, with syntax highlighting and LSP features.
  • File Explorer: Browse and search project files with an integrated file explorer.
  • Session History: View and manage past conversations in a dedicated session history panel.
  • Real-time Updates: See AI responses and tool outputs in real-time with WebSockets.
• Desktop Application: Run Pando as a native desktop app using Wails (embedded into the binary)
• Agent Client Protocol (ACP): Use Pando as an AI coding assistant directly in compatible editors like VS Code, JetBrains IDEs, and Zed
• LLM Proxy Support: Configure Pando to be used as a proxy for LLM API requests, allowing you to route requests through Pando for additional processing or logging
• MCP Server: Start Pando as an MCP server to allow external clients to connect and interact with it using the Model Client Protocol
• ICP and inter-process communication: Pando autodiscover other Pando instances running on the same machine and can communicate with them using a custom inter-process communication protocol, allowing for distributed AI assistance across multiple terminals or projects.

Installation

Install from binaries

Installer script for windows (copy into powershell)

iex (irm https://raw.githubusercontent.com/digiogithub/pando/main/scripts/install-windows.ps1)

Installer in linux

curl -fsSL https://raw.githubusercontent.com/digiogithub/pando/main/scripts/install-linux.sh | bash

In OSX best download the release of pkg (universal binary) that installs .app and launcher and icons

Using Go

go install github.com/digiogithub/pando@latest

Building from Source

git clone https://github.com/your-repo/pando.git
cd pando
cd web-ui && bun install && bun run build:embedded && cd ..
go build -o pando
./pando app

Configuration

Pando looks for configuration in the following locations:

• $HOME/.pando.json or $HOME/.pando.toml
• $XDG_CONFIG_HOME/pando/.pando.json or $XDG_CONFIG_HOME/pando/.pando.toml
• ./.pando.json or ./.pando.toml (local directory)

Both JSON and TOML formats are supported. Pando auto-detects the format based on the file extension.

Environment Variables

You can configure Pando using environment variables (prefixed with PANDO_ for app-specific settings):

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
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
PANDO_DEV_DEBUG	Enable dev debug mode (true)
SHELL	Default shell to use (if not specified in config)

Configuration File Structure (JSON)

{
  "data": {
    "directory": ".pando"
  },
  "providers": {
    "anthropic": {
      "apiKey": "your-api-key",
      "disabled": false
    }
  },
  "agents": {
    "coder": {
      "model": "claude-3.7-sonnet",
      "maxTokens": 5000
    }
  },
  "shell": {
    "path": "/bin/bash",
    "args": ["-l"]
  },
  "mcpServers": {},
  "lsp": {},
  "debug": false,
  "autoCompact": true
}

Configuration File Structure (TOML)

[data]
directory = ".pando"

[providers.anthropic]
apiKey = "your-api-key"
disabled = false

[agents.coder]
model = "claude-3.7-sonnet"
maxTokens = 5000

[shell]
path = "/bin/bash"
args = ["-l"]

debug = false
autoCompact = true

Usage

# Start Pando
pando

# Start Pando as an MCP server (stdio + HTTP /mcp)
pando mcp-server

# Start with debug logging
pando -d

# Start with a specific working directory
pando -c /path/to/project

# Run a single prompt in non-interactive mode
pando -p "Explain the use of context in Go"

# Get response in JSON format
pando -p "Explain the use of context in Go" -f json

# Check for a newer compatible GitHub release
pando update --check

# Update the current binary in place
pando update

# Disable one MCP transport if needed
pando mcp-server --no-stdio
pando mcp-server --no-http

When Pando starts from a released semantic-version build, it also performs a short background update check and prints a notice if a newer compatible release is available.

Custom Commands

Custom commands are predefined prompts stored as Markdown files:

1. User Commands (prefixed with user:): $XDG_CONFIG_HOME/pando/commands/ or $HOME/.pando/commands/
2. Project Commands (prefixed with project:): <PROJECT DIR>/.pando/commands/

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

Acknowledgments

Pando is a fork of OpenCode, originally created by Kujtim Hoxha.

Special thanks to:

• @isaacphi - For the mcp-language-server project
• @adamdottv - For the design direction and UI/UX architecture
• The broader open source community

Tasks

tag

Genera una nueva tag

interactive:true

git tag --sort=creatordate | tail -n 5
git tag $(gum input)
git push origin --tags

build-webui

Compiles the webui

# Build embedded web-ui assets
cd web-ui && bun install && bun run build:embedded && cd ..

build-desktop

Compiles the desktop wails wrapper

make desktop-build
make desktop-embed

build

Compiles the binary

requires: build-webui, build-desktop

# Get version from last git tag
VERSION=$(git describe --tags --abbrev=0 2>/dev/null || echo "dev")
#go build -ldflags "-X github.com/digiogithub/pando/internal/version.Version=$VERSION" -o pando .
make build
rm -f *.log

build-and-copy

Compile the working binary and copy to the binary path ~/bin/.

requires: build

rm -f ~/bin/pando
upx -1 pando
cp pando ~/bin/pando
rm -f *.upx

release

Compiles the binaries for the different platforms (Linux x64, Windows x64, macOS aarch64) and zip them into dist/.

interactive:true Inputs: KEYSTORE_PASS

# Create dist folder
mkdir -p dist

# Build embedded web-ui assets
cd web-ui && bun install && bun run build:embedded && cd ..

# Get version from last git tag
VERSION=$(git describe --tags --abbrev=0 2>/dev/null || echo "dev")

# Linux x64
make release-linux-amd64
# Linux arm64
make release-linux-arm64

# Windows x64
make release-windows-amd64

# macOS aarch64
make release-darwin-arm64
# macOS x64
make release-darwin-amd64

# request user input for KEYSTORE_PASS variable (secret)
read -r -s 'KEYSTORE_PASS'
export KEYSTORE_PASS


ssh -t mac-mini-de-digio "export PATH=\$PATH:/usr/local/bin:~/.bun/bin:/opt/homebrew/bin/:~/go/bin && export PKG_SIGN_IDENTITY='Developer ID Installer: Digio Soluciones Digitales SL (TEAMID)' && cd ~/www/MCP/Pando/pando && git pull origin main && git fetch origin --tags && rm -rf dist && mkdir -p dist && xc build && security unlock-keychain -p $KEYSTORE_PASS /Users/digio/Library/Keychains/login.keychain-db && make release-darwin-arm64 && make release-darwin-amd64 && bash scripts/build-macos-app"
scp mac-mini-de-digio:~/www/MCP/Pando/pando/dist/*.zip dist/

echo "Release builds completed in dist/"

For macOS signing, codesign-digio should continue to sign Mach-O artifacts (dist/pando-darwin-*, dist/pando-osx, Pando.app) with the Developer ID Application certificate it already encapsulates. The installer package must be signed separately with productsign and a Developer ID Installer identity via PKG_SIGN_IDENTITY; reusing the application certificate for the .pkg makes Gatekeeper report the package as unsigned or invalid. scripts/build-macos-app now verifies all three outputs after signing with codesign, spctl, and pkgutil --check-signature.

release-osx

Compiles the binaries for the different platforms (Linux x64, Windows x64, macOS aarch64) and zip them into dist/.

interactive:true Inputs: KEYSTORE_PASS

ssh -t mac-mini-de-digio "export PATH=\$PATH:/usr/local/bin:~/.bun/bin:/opt/homebrew/bin/:~/go/bin && export PKG_SIGN_IDENTITY='Developer ID Installer: Digio Soluciones Digitales SL (TEAMID)' && cd ~/www/MCP/Pando/pando && git pull origin main && git fetch origin --tags && rm -rf dist && mkdir -p dist && xc build && export KEYSTORE_PASS=$KEYSTORE_PASS && security unlock-keychain -p $KEYSTORE_PASS /Users/digio/Library/Keychains/login.keychain-db && make release-darwin-arm64 && make release-darwin-amd64 && bash scripts/build-macos-app"
scp mac-mini-de-digio:~/www/MCP/Pando/pando/dist/*.zip dist/

echo "Release builds completed in dist/"

ACP Support

Pando supports the Agent Client Protocol, allowing it to be used directly in compatible editors as an AI coding assistant.

Quick Start

Run Pando as an ACP server (stdio mode, for editors):

pando acp

Editor Configuration

VS Code

Add to your settings.json:

{
  "agent_servers": {
    "Pando": {
      "command": "pando",
      "args": ["acp"]
    }
  }
}

Zed

Add to ~/.config/zed/settings.json:

{
  "agent_servers": {
    "Pando": {
      "command": "pando",
      "args": ["acp"]
    }
  }
}

JetBrains IDEs

Add to your acp.json:

{
  "agent_servers": {
    "Pando": {
      "command": "/path/to/pando",
      "args": ["acp"]
    }
  }
}

ACP Configuration

Configure ACP behavior in .pando.toml:

[acp]
enabled = true
max_sessions = 10
idle_timeout = "30m"
log_level = "info"
auto_permission = false  # set true for CI/batch environments

Management Commands

# Start ACP server (stdio, for editors)
pando acp

# Start with explicit flags
pando acp start --debug --cwd /path/to/project

# Check server status (HTTP mode)
pando acp status

# List active sessions
pando acp sessions

# View server statistics
pando acp stats

# Stop server
pando acp stop

Client Examples

Examples are provided for:

• Go client: examples/acp-client/go/
• Python client: examples/acp-client/python/

Documentation

For comprehensive documentation, see docs/acp-server.md

Features:

• Stdio transport for editor subprocess mode
• HTTP+SSE transport for real-time updates
• Multiple concurrent sessions
• Security boundaries (path validation)
• Permission system for tool execution
• Auto-approval mode for trusted environments

License

Pando is licensed under the MIT License. See the LICENSE file for details.