OpenCode is an open-source, terminal-native AI coding agent that provides intelligent code generation, refactoring, debugging, and documentation assistance. With over 129,000 GitHub stars and 800+ contributors, it has become one of the most popular open-source alternatives to proprietary coding assistants.

• Multi-Provider Support – Connects to 75+ LLMs via Models.dev including OpenAI GPT-4, Anthropic Claude, Google Gemini, and local models via Ollama/LM Studio
• Terminal-Native TUI – Beautiful terminal user interface optimized for power users with session management and real-time feedback
• LSP Integration – Auto-loads Language Server Protocol servers (PyRight, Rust Analyzer, TypeScript) for real-time code feedback
• MCP Support – Model Context Protocol servers for extended context such as GitHub repository access
• Plan and Build Modes – Plan mode for analysis/explanation, Build mode for code changes and edits
• Multi-Session – Run parallel agents on the same project with shareable session links
• GitHub Integration – Trigger via /opencode comments in issues and PRs, executing in GitHub Actions runners
• Offline Mode – Full functionality with local models at zero API cost

OpenCode operates as a modular, provider-agnostic system with several key components:

• Core Agent Engine – Handles natural language processing via connected LLMs with context management
• LSP Integration Layer – Auto-discovers and loads language-specific servers for real-time code feedback, improving LLM accuracy
• MCP Client – Optional remote or local MCP servers for extended context
• ACP Support – Agent Client Protocol for standardized editor/IDE communication
• TUI Renderer – Terminal user interface with interactive chat, session management, and visualization

OpenCode is model-agnostic, connecting to providers via Models.dev:

• Cloud Providers – OpenAI (GPT-4, 8K-200K context), Anthropic (Claude Opus/Sonnet), Google (Gemini)
• Local/Free – Code Llama, DeepSeek Coder, StarCoder via Ollama or LM Studio
• Subscriptions – Direct login for ChatGPT Plus/Pro, GitHub Copilot

Performance scales with model quality: GPT-4/Claude achieves 80-90% quality vs commercial tools; open models reach 60-70%.

# AGENTS.md configuration example for OpenCode
# Place in your project root to provide context to the agent
#
# Project: MyApp
# Tech Stack: Python 3.12, FastAPI, PostgreSQL
# Testing: pytest with coverage
# Conventions: type hints, PEP 8, docstrings required
#
# Usage:
#   pip install opencode
#   opencode                              # launches TUI
#   opencode "refactor to async/await"    # direct command
 
import subprocess
import json
 
def run_opencode_headless(prompt, model="claude-sonnet"):
    result = subprocess.run(
        ["opencode", "--headless", "--model", model, prompt],
        capture_output=True, text=True
    )
    return json.loads(result.stdout)
 
output = run_opencode_headless("Add error handling to api/routes.py")
print(output["changes"])

• OpenCode GitHub Repository
• OpenCode Official Website
• OpenCode GitHub Integration Docs

• Dify – Agentic workflow platform
• MCP Servers – Model Context Protocol implementations
• Langfuse – LLM observability for monitoring agent performance