Agent Network
Last updated
Last updated
The Agent Network is a foundational concept in Alterscope, where multiple agents can be combined and interconnected to achieve collective decision-making and optimized performance through swarm intelligence. By enabling agents to collaborate, users can tackle complex challenges, enhance predictive accuracy, and optimize financial workflows across DeFi ecosystems.
The Agent Network is a decentralized, interconnected ecosystem of autonomous agents. Each agent operates independently with its own defined framework, parameters, and models. However, through the Agent Network, agents can share insights, align on tasks, and collectively achieve outcomes that surpass the capabilities of any individual agent.
Independent Agents Each agent is configured to perform specific tasks, such as assessing liquidity, monitoring protocol health, or evaluating governance parameters. These tasks are based on their respective models.
Collaboration Through Swarm Intelligence Agents within the network interact and exchange data, combining their individual outputs into a unified, intelligent decision-making process. This collective intelligence is used to address systemic risks, manage resources, and optimize strategies.
Dynamic Model Integration Agents can incorporate multiple models, as illustrated in the frontend example above. For instance:
A Liquidity Health on Lending (LHL) agent can interact with a Volatility Impact Model to adjust risk assessments dynamically.
Governance-related agents like the Governance Entropy Model can combine with other agents monitoring protocol stability to recommend optimal governance actions.
Composable Frameworks Users can create agent frameworks by combining agents that specialize in different domains, such as governance, liquidity, or tokenomics. These combinations form a robust and adaptive system tailored to specific objectives.
Self-Improvement The network leverages feedback loops and data from multiple agents to continuously refine its intelligence and performance.