> ## Documentation Index
> Fetch the complete documentation index at: https://labs.prompthon.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Explorer

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      <span>Ask in Discord</span>
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      <span>Open a GitHub issue</span>
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      <span>Support guide</span>
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Best for people who want a high-level understanding of agent systems without
committing to a strict build sequence.

## Recommended reads

* [The Agent Systems](../foundations/the-agent-system): start

  with the core definition and operating loop.
* [History Of Agent Ideas](../foundations/history-of-agent-ideas): use the
  short historical arc to understand why the field looks the way it does.
* [Agents Vs Workflows](../foundations/agents-vs-workflows): clarify the
  boundary between deterministic orchestration and bounded autonomy.
* [Deep Research Agents](../case-studies/deep-research-agents): see how one
  of the clearest modern agent products is structured.
* [Ecosystem](../ecosystem/index): compare the major tools, platforms, and
  market categories.
* [Radar](../radar/index): track what is changing quickly across the field.

## Optional deeper dives

* [Agent Memory And Retrieval](../patterns/agent-memory-and-retrieval): go
  here if you want a practical mental model for memory, retrieval, and
  artifacts.
* [Reasoning And Control Patterns](../patterns/reasoning-and-control-patterns):
  go here if you want the control-loop view of agent behavior.
* [LLM Foundations For Agent Systems](../foundations/llm-foundations-for-agent-systems):
  go here if you want the minimum model literacy behind modern agents.
* [Context Engineering](../systems/context-engineering): go here if you
  want the production-minded view of how context is managed over time.
* [AI Education Policy To Practice](../contributor-kit/reference-notes/ai-education-policy-to-practice):
  go here if you want a product-agnostic example of turning AI policy language
  into a practical learning activity.

## What this guide optimizes for

* Clear orientation without requiring a fixed sequence
* High-level understanding before implementation detail
* A broad view of the field and its moving parts