# Ecosystem AI Agents

Hemera Protocol adds a web3-optimized Large Language Model (LLM) as one of the query engine options, allowing users to query on-chain data using natural language. Hemera LLM evolves its capabilities by optimizing the latest AI innovations and building on top of the web2 foundational model. The LLM capability, coupled with the account-centric indexing layer, empowers third party developers from chains, protocols, and Dapps to easily define and configure AI agents tailored to their specific needs. 

As a showcase of Hemera Protocol's user-defined AI agents capabilities, a series of ecosystem AI agents are developed, allowing end users to discover the dynamic activities within each blockchain ecosystem using AI. The AI agents serve as personal junior crypto analysts to help end users monitor and discover assets and communities of interests. 

For example ecosystem agents on Linea, Taiko (coming soon), BeraChain (coming soon), ZetaChain (coming soon), head to <https://socialscan.io/>&#x20;

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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://docs.thehemera.com/welcome/account-centric-indexing-protocol/example-hemera-use-cases/ecosystem-ai-agents.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.