> For the complete documentation index, see [llms.txt](https://docs.autonomify.xyz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.autonomify.xyz/6.-governance-model/6.1-governance-architecture.md). # 6.1 Governance Architecture Autonomify adopts a governance system with three layers of authority: #### Protocol Governance AUTO holders collectively control core protocol parameters, including: * Execution credit pricing * Sandbox permission rules * Maximum concurrency for agent classes * MPC/MCP runtime safety thresholds * Treasury allocations and incentive mechanisms Changes are enacted via on-chain governance and scheduled deployments. #### Execution Governance This layer governs how agents operate within the network. Stakeholders can: * Approve or reject new MCP adapters * Set default safety guardrails for agent classes * Define allowed execution scopes for high-risk environments * Determine escalation procedures for halted or misbehaving agents Execution governance ensures the autonomy layer remains safe, predictable, and auditable. #### Ecosystem Governance Focused on broader ecosystem evolution, including: * Approving strategic partnerships * Enabling new cross-protocol automations * Funding high-impact community proposals * Supporting enterprise-grade and public-good tooling AUTO holders guide ecosystem expansion without compromising operational integrity. --- # 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.autonomify.xyz/6.-governance-model/6.1-governance-architecture.md?ask= ``` 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.