OpenCode Web is a browser-based interface for interacting with the OpenCode API and AI coding agents like Claude Code. It provides real-time streaming of agent responses, visual debugging of tool executions, and web access to OpenCode workflows without CLI installation. Built for developers who need browser-accessible AI coding capabilities.
git clone https://github.com/chris-tse/opencode-web.gitOpenCode Web is a browser-based interface for the OpenCode API that enables developers to interact with AI coding agents directly through a web browser. The platform provides web access to OpenCode workflows without requiring CLI installation, making it ideal for teams who prefer browser-based development environments. OpenCode Web streams agent responses in real-time, visualizes tool executions, and supports debugging of OpenCode API integrations through an intuitive web interface. Developers use OpenCode Web to test OpenCode API behaviors, prototype agent workflows, and collaborate on AI-assisted coding tasks. The platform supports multiple AI agents including Claude Code, providing a web layer for the broader OpenCode ecosystem. OpenCode Web eliminates environment setup overhead while maintaining full access to OpenCode API capabilities.
Running OpenCode Web workflows without CLI installation
Testing OpenCode API integrations via OpenCode Web interface
Real-time debugging of OpenCode Web agent responses
Browser-based access to OpenCode agents like Claude Code
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/chris-tse/opencode-webCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I'm a developer at [COMPANY] working in the [INDUSTRY] sector. I need to use opencode-web to [SPECIFIC TASK, e.g., debug a Python script, generate a SQL query, or optimize a Dockerfile]. Can you guide me through the process and show me the expected output format?
# Debugging a Python Script
**Task:** Identify and fix issues in the following Python script that processes customer data.
```python
import pandas as pd
def process_data(file_path):
df = pd.read_csv(file_path)
df['total_spend'] = df['amount'] * df['quantity']
return df[df['total_spend'] > 1000]
# Example usage
processed_data = process_data('customer_data.csv')
```
**Potential Issues:**
- Missing error handling for file operations
- No input validation
- Hardcoded threshold value
**Suggested Improvements:**
1. Add try-except blocks for file operations
2. Implement input validation for file path and content
3. Make the threshold value configurable
4. Add logging for debugging purposes
**Improved Code:**
```python
import pandas as pd
import logging
logging.basicConfig(level=logging.INFO)
def process_data(file_path, threshold=1000):
try:
if not file_path.endswith('.csv'):
raise ValueError('File must be a CSV')
df = pd.read_csv(file_path)
if 'amount' not in df.columns or 'quantity' not in df.columns:
raise ValueError('Required columns missing in CSV')
df['total_spend'] = df['amount'] * df['quantity']
return df[df['total_spend'] > threshold]
except Exception as e:
logging.error(f'Error processing data: {str(e)}')
raise
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