> For the complete documentation index, see [llms.txt](https://griffin-ai.gitbook.io/knowledge-base/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://griffin-ai.gitbook.io/knowledge-base/network-participants-and-contributors/ai-agents.md). # AI Agents AI Agents in the Griffin AI network are semi-autonomous digital entities, capable of executing specific tasks or services with a degree of independence and adaptability. An AI agent typically possesses a sophisticated planning function, enabling it to strategize and make decisions based on its objectives and the data it encounters. The agents hosted on Griffin AI network are different from the Agents provided via centralized Web2 platforms such as OpenAI, in the way that they are Web3 or smart contract enabled. This means they are equipped with a suite of tools and capabilities, such as a cryptocurrency wallet for transactions, data analysis utilities, and communication protocols. These tools allow the agent to interact effectively within the Griffin AI ecosystem and the broader blockchain environment. AI Agents within Griffin AI serve not only as users of the network, accessing and utilizing various services – but also as contributors, offering their unique services to other users. --- # 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: ``` GET https://griffin-ai.gitbook.io/knowledge-base/network-participants-and-contributors/ai-agents.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.