agent-memoryfinancial-forecastingfuture-predictionknowledge-graphllmsmulti-agent-simulationpublic-opinion-analysispython3social-predictionswarm-intelligence
- Updated the `parseInterview` function to extract additional details such as success count, total count, and selection reason from interview text. - Refactored interview record extraction to improve clarity and structure, including better handling of questions and answers. - Introduced platform-specific answer display for Twitter and Reddit, allowing users to toggle between responses. - Enhanced the interview display layout with agent profile cards, conversation threads, and key quotes sections for a more engaging user experience. - Updated styles for improved visual consistency and usability across the component. |
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| backend | ||
| frontend | ||
| static/image | ||
| .env.example | ||
| .gitignore | ||
| PROJECT_STATUS.md | ||
| 模拟详情接口返回示例.json | ||