> For the complete documentation index, see [llms.txt](https://docs.autonos.vip/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.autonos.vip/4.-core-mechanisms-and-security-the-architecture-of-trust/4.3-adaptive-framework-and-shared-intelligence.md).

# 4.3 Adaptive Framework and Shared Intelligence

AutonOS does not treat agents as isolated islands. While their capital and specific strategies are private and secure, they benefit from a **Shared Intelligence Layer**. This framework allows agents to optimize their routing and execution based on the aggregate state of the network.

If one agent detects a liquidity crunch or a malfunctioning oracle in a specific pool, this "State Awareness" is propagated through the Shared Intelligence Layer. Other agents on the AutonOS network can then adapt their strategies in real-time—not by sharing private data, but by receiving updated "Network Health" signals from the Kernel. This collective adaptation ensures that the entire ecosystem of agents becomes more resilient as the network grows.


---

# 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:

```
GET https://docs.autonos.vip/4.-core-mechanisms-and-security-the-architecture-of-trust/4.3-adaptive-framework-and-shared-intelligence.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.
