Agent Manager Framework for Dynamic Library Loading
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Solution Overview
Problem
Conventional agents running as services or daemons on computer systems inefficiently use memory and processor resources, leading to reduced performance and slower boot times, as they occupy separate memory spaces and run continuously without user control.
Innovation Solution
Implementing agents as dynamically linked libraries within host processes controlled by an executable agent manager, which loads and unloads agents as needed, allowing for shared address spaces and efficient resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional agents are implemented as executable files running continuously as services or daemons, then agents can perform tasks autonomously without user intervention, but memory and processor resources are inefficiently used and system performance is reduced
Solution Approach 1:
The patent implements agents as dynamically loadable components that transition between loaded and unloaded states. The agent manager dynamically loads agents into memory only when tasks need to be performed and unloads them when complete, transforming the static continuous execution model into a dynamic on-demand execution model that resolves the contradiction between automation and performance.
Solution Approach 2:
The patent merges multiple separate agent executable files into a single agent manager process that manages all agents. This consolidation reduces the number of separate memory spaces and processes, eliminating resource duplication while maintaining autonomous agent functionality through the unified management architecture.
2Adaptability or versatility
If conventional agents occupy separate memory spaces as executable files, then agents can run independently, but code duplication occurs and memory resources are wasted
Solution Approach 1:
The patent merges the code bases of multiple agents into a single shared memory space within the agent manager process. Agents share common code libraries and data structures, eliminating duplication while maintaining independent execution capabilities through the process architecture and communication mechanisms.
Solution Approach 2:
The agent manager process serves as a universal host that can execute multiple different agent types within a single memory space. This multi-functional architecture allows diverse agents to share resources while maintaining their independence, resolving the contradiction between versatility and memory usage.
3Reliability
If agents run continuously as services or daemons, then agents are always ready to perform tasks, but idle agents continue to consume memory and processor resources
Solution Approach 1:
The patent implements dynamic agent lifecycle management where agents transition between loaded (ready) and unloaded (idle) states. The agent manager loads agents into memory only when tasks are available and unloads them when complete, creating a dynamic availability model that eliminates resource waste from permanently running idle agents while maintaining reliability when needed.
Data Source
AI summary
Various embodiments implement agents as dynamically linked libraries to run within host processes controlled by an executable agent manager. The agent manager runs as a service or daemon continuously after being loaded into the memory of a computer system. Information concerning agents that are configured to carry out tasks on the computer system is stored in a database accessible to the agent manager. When a task that a particular agent is configured to carry out needs to be done, the agent manager assigns an executable host process to run the agent. The agent manager then sends start and stop commands to the host process to load and halt the agent, respectively.