xiaobright/dsh-anchored-standard
Two-phase DeepSeek Harness preset: Minimal-aligned bootstrap, then full Standard tools (Project2 98/99)
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AI Executive Synthesis
The dsh-anchored-standard preset is defined by its 'two-phase' approach: 'Minimal-aligned bootstrap, then full Standard tools.' The user seeks clarity on when this transition occurs.
This issue reveals a critical ambiguity in the dsh-anchored-standard preset's 'two-phase' reasoning model. The user is unclear whether the initial 'minimal' state applies to a single turn or the entire session before transitioning to 'full tools.' This lack of clarity indicates a gap in documentation or intuitive design regarding the state transitions of the reasoning chain. For a sophisticated preset, predictable and well-understood behavior is paramount. Ambiguity around when advanced tools become active can lead to user frustration, incorrect expectations, and suboptimal agent performance. Clear definition of 'turn' versus 'session' scope for reasoning modes is essential for user confidence and effective utilization of the preset's capabilities.
Two-phase DeepSeek Harness preset: Minimal-aligned bootstrap, then full Standard tools (Project2 98/99)
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is xiaobright/dsh-anchored-standard?
xiaobright/dsh-anchored-standard is analyzed by our AI as: The dsh-anchored-standard preset is defined by its 'two-phase' approach: 'Minimal-aligned bootstrap, then full Standard tools.' The user seeks clarity on when this transition occurs.. It focuses on This issue reveals a critical ambiguity in the dsh-anchored-standard preset's 'two-phase' reasoning model. The user is unclear whether the initial ...
Where did xiaobright/dsh-anchored-standard originate?
Data for xiaobright/dsh-anchored-standard was aggregated directly from the GitHub Open Source community ecosystem, representing raw developer and early-adopter sentiment.
When was xiaobright/dsh-anchored-standard publicly launched?
The initial public indexing or launch date for xiaobright/dsh-anchored-standard within our tracked developer communities was recorded on August 14, 2026.
How popular is xiaobright/dsh-anchored-standard?
xiaobright/dsh-anchored-standard has achieved measurable traction, logging over 3,779 traction score and facilitating 115 recorded discussions or engagements.
Which technical categories define xiaobright/dsh-anchored-standard?
Based on metadata extraction, xiaobright/dsh-anchored-standard is categorized under topics such as: deepseek, deepseek-harness, dsh-plugin, llm-agent.
Are there active development issues for xiaobright/dsh-anchored-standard?
Yes, we are currently tracking open architectural debates and bug reports for this project on GitHub. There are currently 5 active high-priority issues logged recently.
How does the creator describe xiaobright/dsh-anchored-standard?
The original author or development team describes the product as follows: "Two-phase DeepSeek Harness preset: Minimal-aligned bootstrap, then full Standard tools (Project2 98/99)"
Active Developer Issues (GitHub)
Logged: Aug 15, 2026
Logged: Aug 15, 2026
Logged: Aug 15, 2026
Logged: Aug 15, 2026
Logged: Aug 15, 2026
Community Voice & Feedback
已有类似issue,会在之后的版本中解决,感谢反馈
第一次回复后,tool顶层字段会被注入全量工具,此后的ssession都将共享完整工具,具体方式请参考dsh相关代码实现,感谢您的疑问
请问一下最后输出的效果怎么样,我也遇到过相似的情况,但是最后的效果似乎没有退化
经检查,后续出现let me思维链的对话,满足
应该是session。AI是没有记忆的,所谓上下文窗口是把每次agent全部记录发回去的(所以缓存才有用),也就是session的首token不会变。不过可能压缩后会受到影响,maybe得把压缩工具也优化下,固定保留首次工具调用前的token
如果是这样的话,那么长链路来说不是还跟原本的一样吗,如果我浪费掉了第一轮
Discovery Source
GitHub Open Source Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
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