> For the complete documentation index, see [llms.txt](https://digimorph.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://digimorph.gitbook.io/docs/about-digimorph/publish-your-docs.md).

# What is Digital Soul

Your journey begins by connecting your various digital accounts to DigiMorph, awakening your digital self. Each account becomes a **Digital Soul**, representing a unique facet of your digital identity. These Digital Souls are powered by AI Agents with diverse capabilities, capable of managing and growing your online presence. Imagine:

* **Your social media AI Agent** crafting engaging posts and attracting a wider audience, boosting your influence and even generating revenue.
* **Your gaming AI Agent** effortlessly navigating virtual worlds, achieving goals, and unlocking new levels while you focus on other tasks.
* **Your smart devices:** DigiMorph brings "embodied AI Agent" to your digital accounts, enabling autonomous interaction
* **Your smart home:** Integrating the Digital Soul with a smart home system for a more personalized living experience.

## Awakening Your Digital Soul Beyond LLMs

> DigiMorph creates and connects AI agents to your digital accounts that can think, learn, and interact autonomously, going far beyond LLMs intrinsic abilities.

<figure><img src="/files/9PLECERJMLWgUtSkISvu" alt=""><figcaption></figcaption></figure>

Other than LLMs intrinsic abilities, there are 5 other important characteristics of DigiMorph's Digital Soul:

**1. Ability to make Autonomous Actions.**

*Digital Souls can perform tasks independently, making decisions and taking actions without constant human intervention.*

**2. Memory and learning**

*Adding memory into an Digital Soul allows **personalization**, enabling it to understand and adapt to individual preferences. And as our preferences evolve throughout our lives, a Digital Soul with memory can learn and adjust. This is essential for building long-term relationships between Digital Souls and users.*

**3. Reactivity with environment**

*To interact with their environment, Digital Souls must be able to **perceive and process the available information**. This reactivity enables Digital Souls to respond to changes, make informed decisions, and provide relevant outputs based on the input they receive. By analyzing and interpreting the data within their environment, AI agents can offer context-aware help.*

**4. Proactivity**

*Digital Souls are not only capable of “planning”, “writing tasks” and prioritizing, but they are also able to **take proactive steps** to accomplish these tasks by using tools, such as search the internet, scrape reddit, use code interpreter etc. At the moment, this is mostly done through **api calls** and **function calling**.*

**5. Collaborate with other agents or humans**

*Digital Souls can **collaborate with other AI agents or humans**, they can **delegate work** and they are **capable of “sticking to their defined roles in the conversations”.** This social ability enables AI agents to work collectively towards common goals, distribute workloads, and maintain coherent communication.*

## Digital Soul is AI agent, but not AI Tool

While AI image generation and chatbots, like AI Copilot, excel at specific tasks—creating images or providing conversational assistance — **DigiMorph goes beyond** by enabling **a fully automated, decentralized digital identity** that seamlessly interacts with every aspect of your online life. For example, DigiMorph Operator (<https://github.com/DigiMorphLab/Operator>).

<figure><img src="/files/KYbCrcMLR0BBzNIGIRW4" alt=""><figcaption></figcaption></figure>


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
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```

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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.
