# Agent

- [Agent Core](https://docs.amigo.ai/agent/agents.md): The agent core provides the interpretive framework for measurements, shaping how domain expertise drives conversation behavior.
- [Reasoning Engine](https://docs.amigo.ai/agent/reasoning-engine.md): The modality-independent reasoning core that processes signals and emits effects, powering voice, text, simulation, and API agent interactions through a unified pipeline.
- [Context Graphs](https://docs.amigo.ai/agent/context-graphs.md): Structured state machines that define conversation flow, decision points, and safety boundaries for agent workflows.
- [Dynamic Behaviors](https://docs.amigo.ai/agent/dynamic-behaviors.md)
- [Memory](https://docs.amigo.ai/agent/memory.md): A hierarchical memory system that maintains enough context for critical enterprise decisions
- [Clinical Tools](https://docs.amigo.ai/agent/clinical-tools.md): Built-in clinical data capabilities for patient lookup, scheduling, insurance, and outbound management.
- [Platform Functions](https://docs.amigo.ai/agent/platform-functions.md): The universal tool primitive - SQL, Python, and AI functions that give agents direct access to world model data and analytics during conversations.
- [Continuous Improvement](https://docs.amigo.ai/agent/pattern-discovery-and-reuse.md): How the platform automatically identifies what works, tests improvements, and compounds performance gains across every interaction.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.amigo.ai/agent.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.