Freeact is a code action agent with a local execution sandbox. It supports programmatic tool calling, enabling developers to automate complex workflows. It integrates with Python-based tools and workflows, benefiting operations teams by streamlining repetitive tasks.
git clone https://github.com/gradion-ai/freeact.gitFreeact is a code action agent with a local execution sandbox. It supports programmatic tool calling, enabling developers to automate complex workflows. It integrates with Python-based tools and workflows, benefiting operations teams by streamlining repetitive tasks.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/gradion-ai/freeactCopy 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.
Act as a freeact agent. I want to automate a repetitive task for my [COMPANY] in the [INDUSTRY] sector. The task involves [DESCRIBE TASK]. I have [DATA] available. Create a Python script that can automate this task using the freeact framework. The script should include error handling and logging.
```python
import freeact
class MyAutomationAgent(freeact.Agent):
def __init__(self):
super().__init__(name="MyAutomationAgent")
self.tools = [MyCustomTool()]
async def run(self):
while True:
try:
# Fetch data from [DATA_SOURCE]
data = await self.fetch_data()
# Process data
processed_data = self.process_data(data)
# Save processed data
await self.save_data(processed_data)
# Log completion
self.logger.info("Task completed successfully")
except Exception as e:
self.logger.error(f"Error occurred: {e}")
async def main():
agent = MyAutomationAgent()
await agent.run()
if __name__ == "__main__":
import asyncio
asyncio.run(main())
```
### How to Use This Script
1. **Install freeact**: Ensure you have the freeact framework installed. You can install it using pip:
```bash
pip install freeact
```
2. **Customize the Script**: Replace `[DATA_SOURCE]` and `[DATA]` with your specific data source and data. Implement the `fetch_data`, `process_data`, and `save_data` methods according to your needs.
3. **Run the Script**: Execute the script using Python:
```bash
python my_automation_agent.py
```
4. **Monitor Logs**: Check the logs for any errors or completion messages. The script includes error handling and logging to help you monitor its performance.Simple data integration for modern teams
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