TankWork framework provides developers with in-depth customization capabilities, which are mainly reflected in three levels: agent personality configuration, skill module extension and task automation orchestration. By modifying the .env configuration file, developers can fine-tune agent behavior parameters, such as setting NARRATIVE_TEMPERATURE=0.6 to control the degree of response creativity, or define the level of detail of the log through LOG_LEVEL=INFO.
Skills expansion, the framework uses plug-in architecture design, developers can implement specific interfaces to add new functional modules. Typical application scenarios include integrating specialized domain OCR recognition models to enhance screen analysis capabilities, or adding application-specific automation control modules. The ComputerUse.Tank example provided in the project documentation shows how to build an agent core that understands complex commands.
More professional customization is reflected in the task scheduling system, where developers can create conditionally triggered workflows, such as automatically executing troubleshooting steps when an error pop-up is detected on the screen, or setting timed tasks to activate under specific conditions. This design pattern makes TankWork suitable not only for regular office automation, but also for specialized areas such as quantitative trading and automated testing.
This answer comes from the articleTankWork: an intelligent body that operates computers via voice and text and provides real-time voice feedbackThe
