EVOLVE NETWORK

We're trying to create a network of nodes that have open source LLMs that listen and plug into an ecosystem full of models. Imagine a setting all of models could talk to each other and developers can just plug in their LLM models into the other users to create AI agents to help them

AGENTS STUDIO

OVERVIEW

The agents allows for browsers to open needed execution when calling API's. All of the computation is done locally in-subnet when scanning for execution from any Agent created.

SOCKET NODES

Using the API key system means that we can create agent flows to store from any third party software like making a ChatGPT agent, Google search agent, etc. Once created, we can create nodes to connect to the main subnet.

Community-Driven Agent Mix

Enter to join other public APIs that the community is sharing securely

Automatic Tool Integration

Use our source tools and plug into APIs based on time

DATA HUB

PERSONALIZING EACH DOMAIN

We are training all of our RAG to fit into any agent subnet we use for the network. This allows the models to specialize in specific tasks rather than trying to be a jack of all trades.

PURPOSE

Personalization is one of our key goals. By creating specialized models and knowledge bases, we ensure that each agent is optimized for its specific purpose.

FUTURE VISION

The long-term goal is to create an interconnected yet specialized network of AI capabilities, where each component excels in its specific domain.

DECENTRALIZED NODES

ROLE OF NODES

Nodes are the backbone of our network, hosting and executing AI models while ensuring decentralized operation.

INCENTIVES AND REWARDS

Node operators receive rewards for contributing computational resources and maintaining network stability.

DISTRIBUTED AI AT SCALE

Our decentralized architecture enables scalable AI operations while maintaining security and efficiency.

CURRENT STATUS

Agent Creation: Users can now create and deploy agents, setting rules to enable automated execution of tasks.

Node Setup: While technically complete, onboarding new to maintain decentralization while ensuring security requires additional testing.

Node Balancing: In development, aiming to optimize the distribution of computational loads across the network.

WHY WE THINK THIS MATTERS

We're pioneering a new kind of AI infrastructure where intelligence is decentralized, open, and accessible to everyone. By distributing both the computational load and decision-making, we're empowering AI capabilities throughout the network.

Decentralized AI

Open Source

Community Driven

Scalable Network

Future Ready