Ai-driven multi-agent system for comprehensive network, security and enterprise it operations

A system for executing a task using an optimal architecture, comprising:

• one or more memories;
• at least one processor each coupled to at least one of the memories and configured to perform operations comprising:
• selecting, by an analytical agent and a large language model (LLM), the optimal architecture associated with the task, comprising:
• determining a complexity level of the task is high based on identifying a requirement of a collaboration between a plurality of decentralized agents when executing the task;
• determining a distributable level of the task is low based on identifying a requirement of a central agent for task allocation when executing the task;
• and
• in response to determining the complexity level of the task being high and the distributable level of the task being low, selecting a hybrid architecture as the optimal architecture associated with the task, wherein the hybrid architecture comprises a centralized architecture comprising the central agent and a decentralized architecture comprising the plurality of decentralized agents;
• assigning the task to an agent associated with the hybrid architecture;
• and
• executing the task using the hybrid architecture, wherein the executing comprises assigning, by the central agent, a step of the task to at least one of the plurality of decentralized agents, and wherein the plurality of decentralized agents collaborate with each other for executing the step of the task.

A non-transitory computer-readable medium having instructions stored thereon that, when executed by at least one processor, cause the at least one processor to perform operations comprising:

• selecting, by an analytical agent and a large language model (LLM), the optimal architecture associated with the task, comprising:
• determining a complexity level of the task is high based on identifying a requirement of a collaboration between a plurality of decentralized agents when executing the task;
• determining a distributable level of the task is low based on identifying a requirement of a central agent for task allocation when executing the task;
• and
• in response to determining the complexity level of the task being high and the distributable level of the task being low, selecting a hybrid architecture as the optimal architecture associated with the task, wherein the hybrid architecture comprises a centralized architecture comprising the central agent and a decentralized architecture comprising the plurality of decentralized agents;
• assigning the task to an agent associated with the hybrid architecture;
• and
• executing the task using the hybrid architecture, wherein the executing comprises assigning, by the central agent, a step of the task to at least one of the plurality of decentralized agents, and wherein the plurality of decentralized agents collaborate with each other for executing the step of the task.