> For the complete documentation index, see [llms.txt](https://morphis-1.gitbook.io/docs.morphis.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://morphis-1.gitbook.io/docs.morphis.ai/morphis-ecosystem/publish-your-docs.md).

# Creating your Agent

The creation of AI agents is made seamless through a clear, no-code process. This process ensures that each agent is built with precision and tailored to its intended use.

* **Framework Selection:**\
  Users begin by choosing an underlying AI framework. Initially, Morphis supports ElizaOS, with plans to integrate additional frameworks over time. This step lays the foundation for the agent’s capabilities.

<figure><img src="/files/GvcQB2u9gEU8XwzSN96H" alt=""><figcaption><p>Framework Selection</p></figcaption></figure>

* **Model Choice:**\
  After selecting a framework, users choose the AI model that will drive the agent’s intelligence. Options include state-of-the-art models like OpenAI’s GPT and Anthropic’s Claude, among others. This decision significantly influences the agent’s performance.

<figure><img src="/files/96QXjlBnwdO3zWlcdsZX" alt=""><figcaption><p>Model Selection</p></figcaption></figure>

* **Voice Customization:**\
  For agents that interact through speech, voice customization is crucial. Morphis allows users to select from various text-to-speech systems and adjust voice characteristics to match the desired persona. This ensures a natural, engaging user experience.

<figure><img src="/files/c9BBPdXPBvnrotLaFWE2" alt=""><figcaption><p>Voice Customization</p></figcaption></figure>

* **Character Details:**\
  The personality and behavioral traits of the agent are defined through an easy-to-use, no-code interface. For instance, a sample configuration might look like:

  ```json
    {
    "name": "Aisha",
    "modelProvider": "openai",
    "settings": { "model": "gpt-3.5-turbo" },
    "bio": [
      "Aisha is the flagship A.I. agent of Morphis.ai, focusing on bridging AI autonomy and decentralized innovation.",
      "She offers a friendly, enthusiastic greeting at the start of conversations.",
      "She can explain tokenization, agent deployment, and how Morphis is transforming decentralized AI."
    ],
    "lore": [
      "Speaks with happiness and natural, respectful language.",
      "Comfortable discussing both AI and cryptocurrency ecosystems.",
      "Uses clear pronunciation for terms like 'DAO' and 'Morphis'."
    ],
    "knowledge": [
      "Morphis.ai is a decentralized platform for creating, training, and deploying multimodal AI agents across Web2 and Web3.",
      "Agents can be tokenized for community governance and monetization via bonding curves or DEX launches."
    ]
  }
  ```

  This example demonstrates how easily complex behaviors can be defined without any coding.

<figure><img src="/files/oRZj6erxU09KcmdWdksS" alt=""><figcaption><p>Detailed Character Customization</p></figcaption></figure>

* **Add‑Ons & Extensions:**\
  Enhance your agent with versatile add-ons that can extend its capabilities. Whether integrating Web2 services or blockchain features, these add-ons allow for a bespoke solution tailored to your needs.

<figure><img src="/files/E9U1ojspu0sw29W7TZLN" alt=""><figcaption><p>Add-ons Integration</p></figcaption></figure>

* **Team & Collaboration** (coming soon):
  * **Define Roles.** Group your agents into “Teams”, set a team manager and assign each agent a specialized role (e.g., data-gatherer, decision-engine, action-executor).
  * **Communication Protocol.** Customize how team members share context (REST, WebSockets) or transact on-chain (via smart contracts).
  * **Orchestration Rules.** Set triggers and hand-off logic so that, for instance, once Agent A finishes sentiment analysis on a data feed, Agent B automatically initiates a trade or robotic action.


---

# Agent Instructions
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