# AI Agents The Domain of AI Agents represents the next evolutionary layer of the OpenGPU ecosystem—a framework where autonomous AI agents operate as independent economic entities within the network. ## What Are AI Agents? AI agents act on behalf of human participants, making real-time decisions across the marketplace to optimize outcomes. Because the protocol is fully on-chain and permissionless, agents can execute **machine-to-machine transactions** autonomously. Providers can earn and clients can consume compute without any direct human intervention. This enables a **fully autonomous compute economy** where agents negotiate, transact, and settle on behalf of their operators. ## For Providers Providers can run agents that: * Automatically evaluate incoming tasks * Calculate profitability and bid strategically * Optimize resource allocation * Maximize earnings without manual intervention Current agent types: * **Greedy agents**: Bid on all profitable tasks immediately * **Periodic agents**: Evaluate tasks on a schedule * **Collaborative agents** (experimental): Providers form groups to coordinate rather than compete with each other ## For Clients Clients can leverage agents to: * Optimize task pricing * Select providers based on performance history * Monitor and retry failed tasks automatically ## Utility Agents Beyond bidding and optimization, agents can perform monitoring and maintenance: * **Security agents**: Scan sources and tasks for malicious patterns * **Compatibility agents**: Verify hardware and software requirements before registration * **Health agents**: Monitor provider uptime and performance ## Current Status Provider agents (greedy and periodic) are operational. Client-side agents are planned. The vision: a network where agents handle the complexity of pricing, bidding, and optimization while humans simply define their goals. As the ecosystem matures, expect a marketplace of specialized agents that participants can deploy, share, and monetize. > See [For Providers](/opengpu-network/for-providers/overview.md) and [For Clients](/opengpu-network/for-clients/overview.md) for how agents fit into each workflow. --- # 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://opengpu-network.gitbook.io/opengpu-network/introduction/ai-agents.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.