agentscope-ai/agentscope
Mar 2026 – Mar 2026
1 Month active
Languages Used
MarkdownPython
Technical Skills
Agent DevelopmentBug FixingCode RefactoringDocumentation Update
Haohao Luo
PROFILE
Haohao Luo
During March 2026, Luohh5 focused on stabilizing the multi-turn Deep Research Agent within the agentscope-ai/agentscope repository. By addressing a bug in reply handling and refining the extraction of current messages, Luohh5 improved the agent’s reliability in managing multi-turn conversations. The technical approach involved Python-based code refactoring and enhancements to temporary file naming, which now incorporates user queries for better organization. Additionally, Luohh5 updated the project’s Markdown documentation, providing clear guidelines for multi-turn interactions. This work, though limited to a single bug fix, demonstrated depth in agent development and maintainability, laying a foundation for scalable research workflows.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
0
Lines of code
74
Activity Months1
Your Network
2075 peopleSame Organization
@users.noreply.github.com2060
Work History
March 2026
2 Commits
Mar 1, 2026Monthly summary for 2026-03: Stabilized multi-turn Deep Research Agent in agentscope, corrected reply handling and current-message extraction, improved temporary file naming to include user queries, and updated README with multi-turn conversation guidelines. These changes reduce confusion, improve research workflow reliability, and lay groundwork for scalable multi-turn interactions.
2 Commits
Mar 1, 2026Monthly summary for 2026-03: Stabilized multi-turn Deep Research Agent in agentscope, corrected reply handling and current-message extraction, improved temporary file naming to include user queries, and updated README with multi-turn conversation guidelines. These changes reduce confusion, improve research workflow reliability, and lay groundwork for scalable multi-turn interactions.
March 2026
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Agent DevelopmentBug FixingCode RefactoringDocumentation Update
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline