shengjidaguai-china/goutoujunshi

一个先接住情绪、再分析关系并给出可执行策略的 Codex 恋爱军师,内置心理、法律、社会、人文、哲学、婚姻家庭与性学知识库,支持多元关系。

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Summary Information

Updated 60 minutes ago
Added to GitGenius on September 22nd, 2026
Created on July 20th, 2026
Open Issues & Pull Requests: 6 (+0)
GitHub issues: Enabled
Number of forks: 492
Total Stargazers: 4,746 (+8)
Total Subscribers: 7 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.7 days
Mean response time: 4.8 days
90th percentile: 14.4 days
Tracked items: 6

Charts & Analytics

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Issue Activity (beta)

Open issues: 4
New in 7 days: 2
Closed in 7 days: 0
Avg open age: 14 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 2
Closed in 7 days: 0
Comments in 7 days: 3
Events in 7 days: 4

Top labels

  • bug (1)

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Detailed Description

Goutoujunshi is an AI agent that provides relationship advice by first acknowledging emotions, then analyzing relationship dynamics and offering executable strategies.

The tool addresses the challenge of navigating complex personal relationships by combining emotional validation with structured analysis. It operates as a Codex-based system that draws on integrated knowledge bases spanning psychology, law, sociology, humanities, philosophy, marriage and family studies, and sexology. The approach prioritizes emotional support as a foundation before moving to relationship assessment and actionable recommendations. The system is designed to support diverse relationship structures and configurations.

The tool is suited for individuals seeking relationship guidance who value an approach that treats emotional acknowledgment as foundational rather than secondary. It is built for users who want advice grounded in multiple disciplinary perspectives rather than a single framework. The integrated knowledge bases mean recommendations can draw on psychological principles, legal considerations, social context, philosophical perspectives, and specialized knowledge of marriage, family dynamics, and sexuality. This breadth distinguishes it from simpler advice systems that may lack this multidisciplinary grounding.

The project shows active development with regular commits and ongoing refinement of its core functionality. The codebase demonstrates iterative improvements to the agent's reasoning and response generation. The tool continues to receive updates that enhance its knowledge integration and strategic recommendation capabilities.