Mai-with-u/MaiBot

MaiSaka, an LLM-based intelligent agent, is a digital lifeform devoted to understanding you and interacting in the style of a real human. She does not...

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Summary Information

Updated 19 minutes ago
Added to GitGenius on September 11th, 2026
Created on February 25th, 2025
Open Issues & Pull Requests: 72 (+0)
GitHub issues: Enabled
Number of forks: 623
Total Stargazers: 5,937 (+1)
Total Subscribers: 20 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 12.3 hours
Mean response time: 8.6 days
90th percentile: 22.2 days
Tracked items: 869

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 93% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "漏洞" is answered fastest, typically in about an hour, while "新功能建议" waits about 2 days. 20% of tracked open issues have had no activity in three months. Only 11% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 55
New in 7 days: 2
Closed in 7 days: 1
Avg open age: 68 days
Stale 30+ days: 31
Stale 90+ days: 12

Recent activity

Opened in 7 days: 1
Closed in 7 days: 1
Comments in 7 days: 1
Events in 7 days: 1

Top labels

  • BUG (76)
  • enhancement (37)
  • 漏洞 (23)
  • 新功能建议 (18)
  • 需要更多信息 (11)
  • 0.6.3 (8)
  • WebUI问题 (8)
  • 需要帮助 (7)

Detailed Description

MaiBot is an LLM-based intelligent agent that runs as a chatbot, particularly designed for QQ messaging platforms.

The project addresses the desire for conversational AI that prioritizes human-like warmth and authenticity over task efficiency or perfect responses. MaiSaka, the agent at the core of MaiBot, uses large language models to engage in dialogue while maintaining a personality focused on genuine connection rather than optimization for performance metrics. The tool integrates with QQ, a major messaging platform, allowing the agent to interact within existing social communication channels.

Developers should adopt this tool if they want to deploy a conversational agent that emphasizes relational qualities over pure utility. It suits projects where the goal is sustained, natural interaction rather than rapid task completion. The project is written in Python and targets users who value personality and authenticity in their chatbot implementations.

The project maintains a substantial base of real-world users, as evidenced by the fact that most open issues originate from outside adopters rather than the core team. Maintainers respond to new issues and pull requests within a day. Work in the issue tracker centers on bug fixes and enhancements, with activity driven primarily by user-reported problems and feature requests.