Agents Flow

The Agents Flow Dashboard is designed to provide an intuitive interface for interacting with and configuring AI agents. You can create, monitor, and refine intelligent agents capable of handling complex, real-world internet tasks. These agents are powered by a robust backend infrastructure that distributes computational workloads across a network of peer GPUs, for efficiency and scalability.

Agents Hub

Agents Hub is a hub where users can access agentic system developed by the community using the platform. This hub facilitates collaboration and innovation by allowing users to either build upon existing agents or deploy them as they are, as per their needs. Agents in the hub come with detailed descriptions, use case scenarios, and the necessary configuration details to help users understand how they can be integrated and utilized effectively.

Creating and Managing Agents

Agents Creation Studio, an interface that allows you to start building your agents. You can define specific goals for each agent, which will be used to assemble the necessary tools and resources automatically. This process is visualized using ReactFlow, providing a clear and interactive representation of how your agents and tasks are structured.

Backend Orchestration

Behind the scenes, the platform automatically orchestrates the best combination of tools and memory configurations for each agent. This includes selecting the appropriate tools, APIs, and data sources added earlier in data hub, to achieve the defined goals. The orchestration process ensures that each agent operates with the best of it's abilities aligned to your use cases by using the context of your data sources and relevant tools for the job efficiently.

Tools and Memory Utilization

The platform seamlessly integrates various tools that extend the capabilities of your agents. Whether it's performing web searches, executing code, generating images, or retrieving data from external APIs, the platform ensures that the right tools are used for the right tasks. Additionally, agents are equipped with memory functionalities that allow them to store and retrieve information as needed, enhancing their ability to learn and adapt over time.

Distributed Compute Power

One of the key advantages of the platform is its ability to leverage distributed GPU power from peers. This decentralized approach not only enhances the use of high-performance computational capabilities of your agents but also ensures that resources are used efficiently and cost-effectively. By tapping into this network, you can build and deploy high-performance AI applications without the need for expensive infrastructure.