- Introduced new enums for execution phases, clock modes, delivery types, and statuses to enhance clarity and structure.
- Updated the `Clock` struct to use the new `ClockMode` type, improving type safety and readability.
- Revised the `Resources` struct to utilize a map for phases, allowing for more flexible resource management.
- Enhanced the `Delivery` struct to incorporate the new `DeliveryType` enum, clarifying output options.
- Updated the design document to reflect these changes, improving overall organization and understanding of the agent's operational context.
- Revised the description of the daemon mode to reflect its use cases as "research analyst" and "market monitor."
- Updated configuration examples to align with the new terminology, enhancing clarity on the agent's operational context.
- Corrected terminology for keywords in the P0 and P1 phases to improve consistency and understanding of the target audience.
- Added a new execution phase (P3) detailing the article's execution and publication process, providing a clearer overview of the agent's tasks.
- Changed terminology from "Schedule" to "Clock" throughout the document to reflect the new trigger type.
- Revised flowcharts and diagrams to incorporate the clock context, clarifying the agent's operational phases based on time.
- Updated configuration examples and descriptions to align with the new clock trigger settings, enhancing clarity on how agents operate under different timing modes.
- Improved documentation for the Inspiration phase to specify its reliance on clock context, ensuring better understanding of the agent's decision-making process.
- Added a decision point for triggers in the execution flow diagram, clarifying the paths for schedule and human/event triggers.
- Revised the connections in the flowchart to reflect the new structure, ensuring a clear distinction between the Inspiration phase and goal generation based on trigger types.
- Enhanced the overall clarity of the document by improving the representation of the agent's operational phases.
- Revised the execution flow diagrams to clearly differentiate between schedule and human/event triggers, enhancing understanding of the agent's operational phases.
- Updated the P0: Inspiration phase to specify it operates under a schedule-only context, while human/event triggers directly generate goals.
- Improved the documentation for each phase, adding clarity on input and output expectations, particularly for the Inspiration phase.
- Enhanced the overall structure of the document to better reflect the distinct paths of execution based on trigger types.
- Revised the document to enhance clarity by updating section titles and terminology, such as changing "Overview" to "What is it?" and "Key Characteristics" to "Key points."
- Streamlined the architecture section, renaming components for consistency and clarity, including changes to trigger sources and agent management terminology.
- Updated execution flow diagrams and descriptions to reflect the new structure, improving understanding of the agent's operational phases.
- Enhanced the configuration section to provide a clearer overview of triggers, scheduling, and resource management, ensuring better organization throughout the document.
- Revised the document to enhance clarity by reorganizing sections and improving terminology, such as changing "Core Features" to "Key Characteristics."
- Introduced a new architecture section detailing the system's trigger sources and their integration with the agent manager.
- Updated the execution flow and lifecycle diagrams to reflect the new structure and added detailed descriptions for each phase of the agent's operation.
- Enhanced the configuration section to include a comprehensive overview of triggers, scheduling, and resource management, improving the overall organization of the document.
- Added a new section detailing the configuration of trigger sources for AI members, including default settings and an example YAML configuration.
- Updated the execution flow diagram to reflect the configurable nature of trigger sources, incorporating a check for trigger enablement.
- Refactored the AI member configuration structure to include a dedicated triggers section, improving clarity and organization of the configuration options.
- Introduced detailed execution flow and sequence diagrams using Mermaid to illustrate the autonomous agent's operational phases.
- Added a comprehensive AI member lifecycle diagram, outlining the states and transitions of AI members within the system.
- Enhanced the design document to improve clarity and understanding of the agent's execution process and lifecycle management.
- Revised the design document to improve clarity in the deduplication timing table format.
- Updated the `Resources` struct to include a new `Inspiration` phase and adjusted the descriptions for existing phases.
- Enhanced the `ExecutionPhase` constants to reflect the new phase structure, adding a `PhaseLearning`.
- Improved the documentation for the private knowledge base categories and the Activity Monitor API features for better readability.
- Introduced new types for alert rules and actions in the monitoring configuration, expanding the alerting capabilities.
- Improved the asynchronous initialization of the knowledge base (KB) collection post user login, ensuring a smoother user experience.
- Refined the GetDocumentsContent method to enhance document retrieval capabilities, supporting various file types and improving overall efficiency.
- Updated related API interfaces to reflect these enhancements, ensuring consistency across document management functionalities.
