# Learn about our agent system operators

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Agent system operators are fixed-function operators that act as "non-trainable models". They help you connect, direct, and network your models in a workflow.

These operators that can be “chained” together with models to automate tasks.

Below, we outline the different agent system operators we offer.

### Operators

- [**📄️Prompter**  
  Learn about our prompt operator](https://docs.clarifai.com/create/agent-system-operators/prompter)
- [**📄️RAG Prompter**  
  Learn how to enhance the quality and relevance of LLM-generated text](https://docs.clarifai.com/create/agent-system-operators/rag-prompter)
- [**📄️Filter**  
  Learn about our filter operators](https://docs.clarifai.com/create/agent-system-operators/filter)
- [**📄️Edit**  
  Learn about our edit operators](https://docs.clarifai.com/create/agent-system-operators/edit)
- [**📄️Push**  
  Learn about our push operators](https://docs.clarifai.com/create/agent-system-operators/push)
- [**📄️Aggregate**  
  Learn about our aggregate operators](https://docs.clarifai.com/create/agent-system-operators/aggregate)
- [**📄️Algorithmic Predict**  
  Learn about our algorithmic predict operators](https://docs.clarifai.com/create/agent-system-operators/algorithmic-predict)
- [**📄️Tracker**  
  Learn about our tracker operators](https://docs.clarifai.com/create/agent-system-operators/tracker)
- [**📄️Embed**  
  Learn about our embed operators](https://docs.clarifai.com/create/agent-system-operators/embed)
- [**📄️Map**  
  Learn about our map operators](https://docs.clarifai.com/create/agent-system-operators/map)

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