# Introduction

## A Living Agent Ecoystem for Understanding and Action

**Levia Protocol** empowers AI agents with **metacognition** and **self-learning** capabilities. By integrating the tools and information pipelines built by its network of contributors, Levia creates a dynamic environment where agents **utilize real world tools** more effectively. Levia also utilizes a unique memory system that learns and **improve autonomously** through interaction and feedback.

Jump to [Quickstart](https://leviaprotocol.gitbook.io/leviaprotocol/building-on-levia/quickstart) to start using Levia

#### Core Features: 

* Custom/multi-modal query and intent interfaces
* Hierarchical and segmented memory managements
* Wide variety of plugins, adapters, and functions (API calls) for agentic actions 
* Real-time reasoning and awareness stream 

#### Agent developers use Levia because it: 

* Provides access and orchestration of 100s of tools out of the box
* More effectively and accurately interprets and achieves user intent
* Abstracts away the complexity of agent upgrades, fine-tuning, and evolution 
* Streams reasoning traces for transparency and future fine tuning 

**Levia** **solves the following problems with agent frameworks today:** 

| Current Frameworks                               | Agents with Levia                                                                                                                                                         |
| ------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| New tools and plugins are difficult to integrate | Levia standardizes formats and validation checks which makes tools easy to integrate, Levia also enables autonomous creation of new tools through recursive self-learning |
| Agents have silo-ed runtime                      | Levia provides option to share continuously optimized workflows amongst agents                                                                                            |
| Agents have no secure key management system      | Levia mocks keys calls so are never leaked to the LLM                                                                                                                     |

#### Levia enables: 

* Personalized agents that adapt and interpret a user's intentions in his or her context
* Agents that proactively take or suggest actions without human prompting
* "Backend-less" applications where responses and tasks are served and executed by Levia
* "Everpedia" agents that are cognizant of social trends and continuously refresh their knowledge base

While each module within Levia is effective in its own right, her overall architecture is heavily modelled after the thinking process of a human brain. Since Levia shared memory and capability network expand and evolve with every new agent added, Levia is able to pioneer human-like agents en route to sovereign AGI. Build with us on Levia.

{% hint style="info" %}
Levia is an open source movement and is a constant work in progress. Not everything is discovered, and not everything that is discovered is implemented. Contributors and new initiatives are welcome, no matter your background!
{% endhint %}

### Jump right in

<table data-view="cards"><thead><tr><th></th><th></th><th data-type="content-ref"></th><th></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Core Architecture</strong></td><td></td><td><a href="core-architecture">core-architecture</a></td><td></td><td></td><td></td><td><a href="broken-reference">Broken link</a></td></tr><tr><td><strong>Levia's Metacognition</strong></td><td></td><td><a href="core-concepts/metacognition">metacognition</a></td><td></td><td></td><td></td><td></td></tr><tr><td><strong>Levia's Memory Management</strong></td><td></td><td><a href="core-concepts/memory-management">memory-management</a></td><td></td><td></td><td></td><td></td></tr></tbody></table>


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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://leviaprotocol.gitbook.io/leviaprotocol/readme.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.